Product Manager AI| Project Management Institute (PMI)Spain
Are you utilizing any specific checklists or protocols within your projects or company to assess your readiness for working with Generative AI data? I'm curious to know what strategies or tools you've implemented to prepare for integrating Gen AI into your workflows. Please share your approaches in the comments below! Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Claudia, this is a great question. However, given the nature of what we do as consultants, we haven't yet started preparing for this but would be very interested to see what other professionals and organizations are doing!
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44 replies by AHMED ALSHEHRI, Abraha Abraha, Adeleke Otunuga, Adeoluwa Adewale, Amar Amiour, Anh Nguyen, Aysel Schembri, Bettina Moore, Brandy Cranford, Carlos Vera Tudela, Claudia Alcelay, Cristian-Silviu Vasilescu, David Brown, Deepti Sharma, ENRIQUE XAVIER PORRAS TORRES, GEORGINA EDWARDS, Hugh Wiegel, Jose Hidalgo, Jose Ivorra, KOFFI AZOUMAH, Louis Blais, Lovetta Lewis, Monte Tolleson, Moustapha Ndiaye, Mónica Rojas Acuña, NAVANEETHA KRISHNAN BALRAJ, Narendrasinh Rathod, Noel Makagutu, OSAMA YOUSIF , Oludayo Taiwo, Patrick Nyonganyi, Preethi Gopalakrishnan, Ritu Chopra, Roopam Saxena, Roselyne Nagaba Mawanda, Selvam Sankaralingam, Serge Ateba, PMP, Sunil P, Vishakha Rai, and anonymous
Nov 30, 2023 10:16 AM
Claudia Alcelay
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Hello Rami, your approach as a consultant could provide us with great cases to build upon a standardized approach to Gen AI data readiness. Although not into this topic yet, if some ideas come to your mind where you think Gen AI could play a role in your profession, please share. :-)
Mar 04, 2024 4:30 AM
Vishakha Rai
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Agree.
Mar 09, 2024 4:13 PM
anonymous
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Hi. We have investigated but have not yet applied to field cases.
Mar 14, 2024 3:19 AM
Sunil P
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Otter.ai is a Meeting Assitant AI tool to transcribe meeting in realtime used in User Interviews to get insights and drive decision making and also used for Sentiment Analysis.
Mar 17, 2024 2:54 AM
Narendrasinh Rathod
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Claudia, at present, we don’t have any checklists in our workflow for working with generative AI. But this is a great point you have made. We need to work towards this, which will help us establish processes and include improvements for the overall effectiveness of project management.
Mar 24, 2024 8:04 AM
NAVANEETHA KRISHNAN BALRAJ
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We have not implemented GenAI in our organization yet. But this course definitely provides me the opportunity to prepare for implementing GenAI soon.
Apr 06, 2024 5:27 PM
Carlos Vera Tudela
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Good evening, I have been Project Manager for 20 years, it is exciting to see how project management has evolved over this time, in particular I think that AI is revolutionizing for the better the speed of obtaining documentation and analysis for our projects, I do not have much experience in data management. but I am trying to use the PMI AI assistant and using GTP chat, entering the data I have from my collection of previous lessons learned, trying to improve it little by little, I am quickly noticing the great support it means, we have to lose the fear of change and innovation; Thank you PMI for providing us access to the GENAI course
Apr 07, 2024 12:24 PM
Serge Ateba, PMP
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Great question here from Claudia. I am also in consulting and would love to hear what others have to say about this. I will see this as a readiness stage gate process where the further we progress to the end, the more ready we are it integrating in in our workflow. There should deliverables at each gate and a quality control performed to move to the next stage. I will start working on a gate readiness process to integrate GenAI into the project delivery process
Apr 12, 2024 3:50 PM
Noel Makagutu
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Hey Rami,
I am with you on this and would be interested in seeing what others are doing.
May 01, 2024 7:17 PM
ENRIQUE XAVIER PORRAS TORRES
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I think we could start by including guidelines on the data structure to be managed by each organizational process.
May 04, 2024 4:34 PM
Deepti Sharma
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gives a broader way to understand and much more to learn.
May 28, 2024 2:26 PM
Adeoluwa Adewale
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The importance of Gen AI cannot be over emphasised. I'm looking at implementing historical data of lessons learned over decades to improve project outcomes, benefits to mitigate risks, issues, scope creep for better project health and viability.
Jun 12, 2024 12:59 AM
Roopam Saxena
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Generative AI may be of immense help in IT Infrastructure Transition projects where we work with Client and the service provider organization in the initial inception phase in respect to requirement gathering and understanding the client environment.
Jul 20, 2024 6:33 AM
KOFFI AZOUMAH
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actually in my company nothing is set for integrating gen AI. but since this is the future, we are sharing the development an interest of integrating gen AI with coworkers
Jul 29, 2024 11:52 AM
Jose Ivorra
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Buenos días. Apenas estoy empezando a aprender sobre AI. Sorry, I cannot help.
Aug 01, 2024 10:05 AM
Roselyne Nagaba Mawanda
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We are working with customised templates that hopefully will be easy to integrate into GenAI. The verdict is till out there
Aug 20, 2024 9:10 AM
Mónica Rojas Acuña
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For some time now, I have been using AI in the management of my projects. However, I am training myself to use this tool more broadly in a responsible manner while also maximizing its utility.
Aug 21, 2024 11:18 AM
Abraha Abraha
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Hi Claudia,
This is a very useful question triggering mutual learning in this new but rapidly growing field. Because of the nature of the work we do, we don't yet make use of a defined checklist. Thanks all for the insightful interventions.
Sep 28, 2024 9:52 AM
Cristian-Silviu Vasilescu
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I would say that there are checklists, within AI and automation projects. If the project business case is accepted the AI and automation checklists are focusing on existing data lake, the required processing capacity, the connections' bandwidth, the port security restrictions, the type of automation, the best models to be used, the external provided bots' usage restriction, aligned to the project budget. Additionally, embedded products like, MATE, ENABLE, EDNA, SQM or automation Dashboards, come with specific prerequisites and checklists.
Oct 05, 2024 2:15 AM
Ritu Chopra
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This is indeed thought-provoking question. We have certain templates and it will be nice to integrate the with GPT and improve our ways of working. I will read through all the comments and get new ideas.
Oct 15, 2024 11:16 AM
anonymous
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We have not yet started preparing either as there is a scare over security of the data. What I plan to do is ask Bard, ChatGPT, and Copilot for a diverse set of checklists.
May 08, 2025 3:23 AM
Patrick Nyonganyi
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Thank you for the question. Our organization is at an early stage where we are trying to figure out how to integrate AI in our daily operation.
Jan 15, 2025 1:57 PM
Jose Hidalgo
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This is a new area for many organizations, we are on the exploratory process. Now, I have used prompt engineering to ask questions utilizing checklist and many Operational Excellence/Lean tools as a framework to provide the answers.
Jan 15, 2025 1:57 PM
Jose Hidalgo
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This is a new area for many organizations, we are on the exploratory process. Now, I have used prompt engineering to ask questions utilizing checklist and many Operational Excellence/Lean tools as a framework to provide the answers.
Apr 07, 2025 6:49 AM
Oludayo Taiwo
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Pending adoption, some investigation have been done and outcome presented to baord. It's a complex decision. Cost and implementation plan under assessment.
Nov 15, 2024 7:40 PM
David Brown
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I have not had the opportunity to use AI in a start-up organization yet, however; some of my colleagues have tried using AI assistants for capturing minutes from Zoom meetings. This approach has been somewhat successful.
Nov 15, 2024 7:40 PM
David Brown
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I have not had the opportunity to use AI in a start-up organization yet, however; some of my colleagues have tried using AI assistants for capturing minutes from Zoom meetings. This approach has been somewhat successful.
Mar 30, 2025 9:01 AM
Moustapha Ndiaye
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Tres heureux de voir ce que les collegues appliquent dans le cadre de leur travail comme chef de projets
Feb 17, 2025 11:57 AM
Hugh Wiegel
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Hello Claudia,
We developed internal checklists to determine if the project or initiative could benefit from AI or other transformative technology. Then we also have checklists to determine the best approach for the AI tool/model we propose would best fit the problem/challenge being addressed. Types of data are one item on that checklist.
Nov 07, 2024 1:50 AM
Bettina Moore
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I work in higher education and we are just beginning to explore the benefits and ethics of using AI and have not yet begun to assess our readiness, but I do think it is on the immediate horizon.
Mar 27, 2025 10:35 AM
Brandy Cranford
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In line with Rami, as Consultants most of our toolsets are dependent upon the scope for the customer, and the customer's appetite for AI. We have some tools (note takers, copilot, etc.) however anything that is not in line with our customer's values firms can be asked to refrain from utilizing such tools. I've had first hand experience with this, one of my customers specifically asked that AI note takes not be utilized, or attend their zoom meetings. Interestingly enough they actually started to use the tools themselves near the end of the project, and being able to see the adoption first hand gives hope that one day we can find a balance.
Dec 15, 2024 8:01 PM
Selvam Sankaralingam
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Hi, We tried implementing a preventative maintenance in one of our projects, using machine learning. During this exercise we learnt the need for data quality and data diversity. This helped us to arrive at a better strategy for data collection and retention across the projects. Hopefully in near future we will implement a full-fledged AI solution.
Jan 18, 2025 1:17 PM
Louis Blais
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While we don’t yet have a formalized checklist specifically for Generative AI, we are building readiness through a structured framework that includes key protocols:
Policy Review and Development:
We are reviewing existing academic and administrative policies to address ethical considerations, data security, and intellectual property concerns related to Generative AI. This ensures our institution remains compliant with relevant regulations and respects data privacy.
Risk Assessment Protocols:
Our IT and academic leadership teams are developing guidelines to evaluate the reliability and biases of AI-generated outputs. We’re exploring tools to audit AI models, ensuring their application aligns with our educational goals and quality standards.
Capacity Building and Training:
Faculty and staff are being introduced to Generative AI tools through workshops and training sessions. The goal is to build confidence in identifying potential applications in curriculum development, administrative efficiency, and student engagement.
Pilot Testing and Feedback Loops:
We’ve started piloting Generative AI tools in limited-use cases, such as automating course outlines or drafting administrative reports. These pilots include robust feedback loops to assess outcomes and refine protocols before scaling up.
Mar 17, 2025 1:26 PM
Monte Tolleson
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Claudia, I currently work for a a public utility with offices spread out within the community. I'm just learning the benefits and I think this discussion will give me some great ideas. Thank you for your question.
I am just beginning to use AI and the info provided will be beneficial to me. I appreciate you sharing.
May 11, 2025 10:52 AM
Adeleke Otunuga
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We are considering the integration of GenAI to our PM operations. Considerations for decision include need, purpose, cost, benefits, and ROI. Majority opinion is skewed in favor of GenAI integration.
Apr 17, 2025 5:50 AM
Aysel Schembri
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As a Project Manager in Fintech industry, we've started rolling out a Generative AI Readiness checklist, such as Data Quality Assessment, Security and Compliance Review etc. However we are still early in the journey, but formalising a checklist has helped us align across product, engineering and risk teams.
Jan 28, 2025 4:52 PM
Amar Amiour
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Hi Claudia, The answer is Yes, in fact a virtual AI assitant will be implemented soon on SNOW Saas where projects are already planned and managed, it's realy begining to take over the usual WoW....
Jan 02, 2025 8:49 PM
Preethi Gopalakrishnan
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Thanks Claudia and Rami, I am still a student (MBA/MPM) and thanks for the opportunity to share my 2 cents. Considering that GenAI works best with unstructured data, a good way to create an internal process to develop the strategy to include GenAI would be to conduct a Design Thinking workshop. This way ideas can be brainstormed, proto-typed and assessed as to what fits our organisation best. There's no one-size-fits-all protocol I suppose, but this robust approach could help and is agile too.
May 21, 2025 5:48 AM
OSAMA YOUSIF
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This is a timely and important topic. In our case, I believe the IT or digital transformation team will take the lead in launching the new system. However, I’m fully prepared to support them by ensuring smooth integration with our current project workflows.
My role will focus on helping the team bridge operational needs and system capabilities, especially during the early stages before full automation is achieved. I'm looking forward to contributing to a successful rollout and promoting continued use of the system once it's live.
May 21, 2025 5:48 AM
OSAMA YOUSIF
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This is a timely and important topic. In our case, I believe the IT or digital transformation team will take the lead in launching the new system. However, I’m fully prepared to support them by ensuring smooth integration with our current project workflows.
My role will focus on helping the team bridge operational needs and system capabilities, especially during the early stages before full automation is achieved. I'm looking forward to contributing to a successful rollout and promoting continued use of the system once it's live.
Jan 16, 2025 2:41 PM
Anh Nguyen
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This is a great question from Claudia. My organization is still in the early phase of AI discovery so we haven't had any answer to your question. However, I would love to learn more from others' answers to your question.
Jun 25, 2025 5:18 PM
Lovetta Lewis
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I agree with Rami. I am a consultant as well. My goal is to learn about AI and give insights and suggestions to leadership on ways it can help the PMO group learn from wins and opportunities across all projects.
Product Manager AI| Project Management Institute (PMI)Spain
Nov 29, 2023 8:14 PM
Replying to Rami Kaibni
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Claudia, this is a great question. However, given the nature of what we do as consultants, we haven't yet started preparing for this but would be very interested to see what other professionals and organizations are doing!
Hello Rami, your approach as a consultant could provide us with great cases to build upon a standardized approach to Gen AI data readiness. Although not into this topic yet, if some ideas come to your mind where you think Gen AI could play a role in your profession, please share. :-)
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4 replies by Adegoke Obembe, Nichodemus J Manyambo, Subhasish Roy, and Webby Lupola. MSc., PfMP®., PgMP®.
May 31, 2024 3:39 PM
Subhasish Roy
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Hi Claudia,
Great question. At my previous organization, we didn't consider implementing specific checklists or protocols for working with Generative AI data. However, I am now embarking on a new role at a healthcare company that uses AI within their PMO. I will definitely share what I learn from this new experience.
Additionally, I would love to hear from my peers about the strategies and tools they've implemented to prepare for integrating Generative AI into their workflows. Specifically, I'm interested in automating Weekly Status Reports using GenAI/ChatGPT. If anyone has used ChatGPT or any other open/public AI tool for automating WSRs, please share your experiences and insights.
Jun 16, 2024 1:39 AM
Nichodemus J Manyambo
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Hello Claudia, Good question and it came to my attention. Most of these language models which most organizations will tailor based on context can be beneficial insights in decision-making, i think there is no time to question them as they have already been shown to increase productivity in various industries and they have a variety of data sources in them that can help in cost-Benefit analysis, Creating schedules, and a bunch of analysis. However, these outputs are not complete until they are analyzed and refined.
Jan 06, 2025 1:19 PM
Webby Lupola. MSc., PfMP®., PgMP®.
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Indeed, GenAI is critical in data generalisation and integration to inform decision-making and predictive capability
Jun 16, 2025 9:06 AM
Adegoke Obembe
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This is really impressive and essential to get the project ready on the right track.
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Hi Claudia, thank you. As a mater of fact, I did a post last week on my LinkedIn as to how we can utilize AI in the construction industry because AI can add lots of value if properly utilized on Construction Projects. Some of those benefits include:
1) Predictive Analytics: Using AI algorithms to forecast timelines, material requirements, and potential risks, optimizing planning and scheduling.
2) Computer Vision and Drones: AI-powered drones equipped with cameras to monitor construction sites, track progress, and identify safety hazards.
3) Generative Design: Create and optimize designs based on project requirements, site conditions, and material constraints, enhancing efficiency and reducing waste.
4) Quality Control: AI-powered systems to inspect materials, identify defects, and ensure compliance with building codes and standards.
5) Autonomous Equipment: Integrating AI into construction machinery for autonomous operation, improving efficiency and safety on site.
6) Supply Chain Management: Using AI to optimize supply chain logistics, predicting material needs, and streamlining procurement processes.
7) Smart Project Management: Leveraging AI-driven platforms for better project management, collaboration, and decision-making driven by data insights.
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20 replies by Ailen Montesano, Andra Taylor, Angel Romero, Dale Ladoon, Eduardo Lobo, Efrain Bonilla, PMP, Fawad izhar Siddiqui, Kenneth Restelli, LATASHA DELANEY, Manish Mohandas, Marina Gil, PMP, Michael Wilson, Rufaro Sandi, Srikanta Konanur, ademola Olanrewaju, and atul lahane
Mar 14, 2024 7:31 AM
Manish Mohandas
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Agree with Rami's inputs. Would like to add that it could also help on standardizing contract conditions for various types of projects across industries.
Mar 20, 2024 4:31 PM
Fawad izhar Siddiqui
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Hi Claudia and all, Well I was thinking of using RAG in first place to slowly plug-in GenAI. Surely, it will not very complex (if our organization is already using any GPT). Let's say, enterprise specific big data (LL / SP sites / BluePrints / E-docs) could be added to existing GPT to train and can be helpful espeically for LLs. Not sure, if i could make a point on the query asked, but tried to share a start up approach towards GenAI.
Mar 23, 2024 3:34 PM
LATASHA DELANEY
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This is fascinating. I work in Supply Chain management and I can already identify ways in which AI can help with reporting metrics, identify high risk areas based on those metrics, and provide recommendations on how to eliminate or mitigate those risks.
Apr 11, 2024 7:50 AM
atul lahane
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Hello Rami, Thanks for sharing such an insightful information. Are there any specific tools that you can prescribe that could be used for Predictive Analytics ?
Apr 15, 2024 2:48 PM
Andra Taylor
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This is great and thanks for sharing!
Apr 18, 2024 3:14 PM
ademola Olanrewaju
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Rami,
I completely agree! Generative AI (Gen AI) has emerged as a valuable tool in the construction industry, and my experience aligns perfectly with your post.
While I'm still exploring the full potential of Gen AI, I've already found it beneficial for tasks like:
Crafting Project Scopes: I use it to help with phrasing, identifying potential omissions, and ensuring clarity.
Developing Communication Management Plans: it has assisted in personalizing communication for stakeholders and automating report generation.
Building Risk Registers: used to analyze data to identify potential risks and suggest mitigation strategies.
I am optimistic about Gen AI becoming a true partner in streamlining project workflows. As we continue to explore its capabilities, I believe it will become an indispensable asset in the construction industry.
Aug 22, 2024 5:31 PM
Dale Ladoon
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Neat! Interesting about the use of drones for monitoring. Do you use them for execution too, such as real-time, monitoring of installation of equipment (like setting up a crane or installing building mechanical equipment)?
How do site workers feel about having a drone flying around watching them?
Sep 17, 2024 12:46 PM
Angel Romero
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Thank you for sharing your insights on the benefits of utilizing AI in the construction industry. AI can indeed add significant value when properly implemented in construction projects. As the state department responsible for managing water in California, I believe we can leverage some of the benefits you mentioned to enhance the efficiency and effectiveness of our projects.
Sep 18, 2024 8:55 PM
Efrain Bonilla, PMP
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Rami's approach is very interesting, regarding the areas in which AI can help in the construction industry.
I am no longer involved in construction, I participate in the development of projects in the mining industry, in the past I was Construction Manager of many small and medium-sized projects in this industry.
Based on my experience in this area, I have some comments on this matter.
For example, as he thinks, I believe that time must still pass to obtain results and we will surely also have lessons learned regarding the use of AI in this industry.
There are cases in which it can be very helpful and very practical, such as the use of drones to film the progress of works and for AI to analyze the progress, I agree with this, for a general view of the progress, when progress is made in this sense it will even serve to prepare the payments for the project valuations.
However, to apply statistics on what has happened in other projects, a lot of information is required, and above all, the application of similarity of factors, in order to have valid projections that can be applied to budgets, schedules, security, etc. In this sense, I believe that AI will help, but the Project Managers' own evaluation will be very necessary to use these statistics, since there are many human factors that introduce these variations and it will be much more difficult for AI to offer experiences that are truly valid.
Oct 05, 2024 10:12 AM
Rufaro Sandi
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This is great Rami. Thanks for sharing.
Oct 05, 2024 10:12 AM
Rufaro Sandi
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This is great Rami. Thanks for sharing.
Oct 09, 2024 7:59 PM
Marina Gil, PMP
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Using AI to optimize supply chain logistics, predict material needs, and streamline procurement processes is a good way to free up time to focus on more complex or nuanced work.
Nov 19, 2024 3:14 PM
Michael Wilson
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I'm still new to the Gen AI concept but I've been wondering how this could be applied in my projects. These are some really interesting ideas Rami. Thank you for sharing. It would be good to see where you end up with these.
Nov 19, 2024 3:14 PM
Michael Wilson
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I'm still new to the Gen AI concept but I've been wondering how this could be applied in my projects. These are some really interesting ideas Rami. Thank you for sharing. It would be good to see where you end up with these.
Nov 19, 2024 9:49 PM
Eduardo Lobo
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Honestly, I'm just getting started with using AI in my current role. I started instructing my assistants that they should use it more often as it helps out in creating formats to work better in specific tasks. From what I've been experiencing, context is a huge part of what the results are. If you just ask for a table with a few titiles, well, you'll get exactly that. If you structure your question and ask for something more elaborate, you'll be surprised at what the tool can workout for you.
Jan 13, 2025 11:24 AM
Ailen Montesano
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Hello, pleasure to e-meet you all.
Quick question, did you utilize IA enhacements for a specific PM tool? I would be interested to know if any of you have used them for Project Planning & Monitoring as well as for Resource Management within Smartsheet.
Thank you.
Feb 12, 2025 12:50 PM
Kenneth Restelli
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Very interested in the implementation of AI in Construction. Thank you for these insights!
Mar 13, 2025 10:22 AM
Srikanta Konanur
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Hi Rami
Very useful insights and great points ! Thank you so much.
Mar 13, 2025 10:22 AM
Srikanta Konanur
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Hi Rami
Very useful insights and great points ! Thank you so much.
Mar 13, 2025 10:22 AM
Srikanta Konanur
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Hi Rami
Very useful insights and great points ! Thank you so much.
Product Manager AI| Project Management Institute (PMI)Spain
Thank you for sharing, Rami. This is an interesting approach that shows a 360 view of what AI can do for the profession. For me, the challenge is how we start making actionable approaches to these concepts (this is the reason for this thread :-). After exploring Copilot and other AI assistants it seems that they are already integrating aspects of predictive analytics, communication, generative design... improving our daily tasks and leading imperceptibly towards a complete transformation of the way we understand work. Which are your thoughts?
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4 replies by Chris Covert, Christine Lee, Rami Kaibni, and Said Souhail
Dec 01, 2023 11:40 AM
Rami Kaibni
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I don't have a clear cut answer to your question, Claudia. However, I believe it's going to be tough to incorporate AI quickly and it will find resistance in the beginning just like Agile and Agility did but sooner or later it will find its way everywhere.
PMI did two good actionable approaches by creating the PMI AI Assistant and releasing the GenAI Course.
I'd be interested to see what other members of this community have to say about this.
Mar 03, 2025 9:49 PM
Chris Covert
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Project managers are not only supposed to create and manage project plans, we are to be business leaders within our organization. To add value by understanding the business, we need to know the business. Large and even small organizations have substantial knowledge bases. As PMs we are often assigned to a project using a technology, product, service we are unfamiliar with. With AI tools we can ask the AI service to analyze an organizations entire content management system and provide small , medium, or large deep dive into the product, service, or technology we are onboarding into for the project. Sharepoint, Service Now, Notion, etc. There could be hundreds or thousands of pages of information, would it be nice to get a 10 page report on everything the company has noted about a product or service. This helps the PM in a hour read understand enough to reach out to Stakeholders the day after project assignment and be able to have some hope of an intelligent conversation and add value and perhaps even a project execution approach to share with the sponsor.
Mar 08, 2025 3:13 AM
Said Souhail
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Hi all,
Hope the following linkedin post give you a little bit feedback about your principal question:
The list is very detailed. It is an excellent guideline for companies when implementing AI. Can you provide examples of metrics to help measure AI's effectiveness?
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Dec 01, 2023 7:41 AM
Replying to Claudia Alcelay
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Thank you for sharing, Rami. This is an interesting approach that shows a 360 view of what AI can do for the profession. For me, the challenge is how we start making actionable approaches to these concepts (this is the reason for this thread :-). After exploring Copilot and other AI assistants it seems that they are already integrating aspects of predictive analytics, communication, generative design... improving our daily tasks and leading imperceptibly towards a complete transformation of the way we understand work. Which are your thoughts?
I don't have a clear cut answer to your question, Claudia. However, I believe it's going to be tough to incorporate AI quickly and it will find resistance in the beginning just like Agile and Agility did but sooner or later it will find its way everywhere.
PMI did two good actionable approaches by creating the PMI AI Assistant and releasing the GenAI Course.
I'd be interested to see what other members of this community have to say about this.
...
15 replies by ANTHONY OLALEYE, Carlos Vera Tudela, Darla Suit, Horacio Caneque, Jacqueline Mitchell, Keshava Chandraiah, Kyle Schmidt, Lee Newton, Pedro Vasquez, Rakshith Purushothama, Robert Aguece, and anonymous
Mar 12, 2024 9:52 AM
ANTHONY OLALEYE
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The world of Gen AI is very new to my organization and I believe to others as well.
We are currently experimenting with using it to serve up training information to employees .
If the pilot goes well, then the company will expand its application.
Apr 02, 2024 9:19 PM
Kyle Schmidt
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I agree that there isn't a one-fits-all approach to AI it is a tool to continue to develop based on the users inputs. It is extremely exciting to see the innovation and opportunities that AI could offer.
A recent statement that I hear recently is that with AI it will open up more opportunities or tool for people to leverage as a craft functionally and creatively!
Apr 06, 2024 1:18 AM
Carlos Vera Tudela
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Good evening, I have been Project Manager for 20 years, it is exciting to see how project management has evolved over this time, in particular I think that AI is revolutionizing for the better the speed of obtaining documentation and analysis for our projects, I do not have much experience in data management. but I am trying to use the PMI AI assistant and using GTP chat, entering the data I have from my collection of previous lessons learned, trying to improve it little by little, I am quickly noticing the great support it means, we have to lose the fear of change and innovation; Thank you PMI for providing us access to the GENAI course
Apr 06, 2024 1:23 AM
Carlos Vera Tudela
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Good evening, I have been Project Manager for 20 years, it is exciting to see how project management has evolved over this time, in particular I think that AI is revolutionizing for the better the speed of obtaining documentation and analysis for our projects, I do not have much experience in data management. but I am trying to use the PMI AI assistant and using GTP chat, entering the data I have from my collection of previous lessons learned, trying to improve it little by little, I am quickly noticing the great support it means, we have to lose the fear of change and innovation; Thank you PMI for providing us access to the GENAI course
Apr 11, 2024 12:26 PM
Darla Suit
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There are several AI developments within the medical software industry and not all of them have been well received. Our most successful is using AI to review patient health information for improved patient care by providers. we have just scratched the surface of what we can do, but with patient safety in mind, there a lot of in-depth testing required before implementations.
May 17, 2024 7:11 PM
anonymous
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Thanks for the AI Training modules, these are a great starting point for PMs.
Jul 25, 2024 12:08 PM
Keshava Chandraiah
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I see steps for implementation but what about the security if AI is integrated into all streams of work in the Org. Any leads on the AI in Cybersecurity
Oct 18, 2024 4:27 PM
Robert Aguece
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As someone who works in the Aerospace & Defense Industry primarily on Govt contracts, I am not holding my breath about working with Gen AI anytime soon. I agree that eventually, all roads lead to Gen AI because it will make us exponentially more productive.
Oct 18, 2024 4:27 PM
Robert Aguece
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As someone who works in the Aerospace & Defense Industry primarily on Govt contracts, I am not holding my breath about working with Gen AI anytime soon. I agree that eventually, all roads lead to Gen AI because it will make us exponentially more productive.
Jan 05, 2025 6:25 PM
Lee Newton
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I agree with others that the PMI AI course is a great start that I know will benefit our project team members. We are overall approaching carefully on the project side as security of proprietary data critical for our customers.
Feb 14, 2025 6:31 PM
Pedro Vasquez
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All, while I appreciate that we take the time to think strategically about an implementation of Ai, I am struck by the lack of clarity in how an enterprise would carry out an Ai adoption program while maintaining it's operational and proprietary data secure. Perhaps my question exposes inexperience. Using chatbots to document meetings and tasks is great, but some companies may not want their work and interactions with vendors training the publicly available models, even with premium agreements. LeanIX last year sponsored a BCG presentation on LLM gardens. That enterprise has to add a new and expensive layer in it's architecture that would contain and LLM, service and system layers and a host of proprietary, regulatory and industry libraries in order to realize the promise of AI. What does this imply for all those companies that have cobbled together their IT infra over decades? What about data integrity? What about Security and system updating? Will enterprise allow workers to build agents to automate work? What does an integrated ecosystem actually look like? While we're well along in the development stage, the application stage of AI is going to be constrained by energy an expense. All feedback is welcome.
Mar 13, 2025 9:09 PM
Horacio Caneque
...
I'm quite new to the AI field. I find the PMI courses very useful to learn about AI and its application in project management.
May 06, 2025 8:10 AM
Jacqueline Mitchell
...
Agreed. I'm a consultant and the push back on AI within the organizations I have come to work with is incredible. They are terrified of a 'new' way of doing things. Just very few of us are champions and see the value. These organizations don't realize that they can scrub the data and remove proprietary information and still get great analysis. I am using AI on my own very carefully and gaining efficiencies within my work.
May 06, 2025 8:10 AM
Jacqueline Mitchell
...
Agreed. I'm a consultant and the push back on AI within the organizations I have come to work with is incredible. They are terrified of a 'new' way of doing things. Just very few of us are champions and see the value. These organizations don't realize that they can scrub the data and remove proprietary information and still get great analysis. I am using AI on my own very carefully and gaining efficiencies within my work.
Jun 22, 2025 9:33 AM
Rakshith Purushothama
...
Hi Rami,
The Gen AI courses provide a great foundation for Project Management consultants like me to begin exploring AI, apply it within enterprise organizations, and continuously adapt, enhance, and gain deeper insights over time
Saving Changes...
Markus KopkoPrincipal Project Management Consultant| Karer Consulting AGHamburg, Hamburg, Germany
Dear Claudia,
Specific checklists and protocols can be beneficial to assess readiness for working with Generative AI (GenAI) data within a project or organizational context. These tools help ensure all necessary factors are considered and addressed before integrating GenAI into your workflows. Here’s a structured approach:
Evaluate existing IT infrastructure for compatibility with GenAI requirements.
Ensure adequate computing power and storage capacity.
Assess network capabilities for handling GenAI data processing.
Data Management:
Inventory available data sources relevant to GenAI applications.
Assess the quality, volume, and variety of data.
Establish data governance policies, including data privacy and security measures.
Skills and Knowledge:
Evaluate the team’s current understanding of GenAI.
Identify skill gaps and plan for training or hiring.
Ensure access to GenAI expertise, either internally or through external partnerships.
Legal and Compliance:
Review data usage and GenAI applications for compliance with laws (e.g., GDPR, CCPA).
Assess ethical considerations related to GenAI use.
Technology and Tools:
Identify and evaluate GenAI tools and platforms suitable for your needs.
Ensure compatibility of these tools with existing systems.
Risk Assessment:
Identify potential risks associated with GenAI implementation.
Develop strategies for risk mitigation.
Stakeholder Engagement:
Engage with key stakeholders to understand their expectations and concerns.
Develop a communication plan for GenAI integration.
Pilot Testing:
Plan for pilot projects to test GenAI integration.
Define success criteria for pilot projects.
Feedback and Improvement Mechanisms:
Establish processes for ongoing feedback on GenAI use.
Plan for regular reviews and updates of GenAI strategies.
Protocols for GenAI Integration:
Project Initiation Protocol:
Define objectives and scope for GenAI application in specific projects.
Conduct initial stakeholder meetings to align goals and expectations.
Data Preparation Protocol:
Standard procedures for data cleaning, labeling, and preprocessing.
Protocols for data security and privacy during GenAI handling.
Training and Development Protocol:
Guidelines for training team members on GenAI tools and concepts.
Schedule for ongoing learning and development.
Quality Assurance Protocol:
Steps for validating and testing GenAI outputs.
Regular audits to ensure quality and accuracy.
Change Management Protocol:
Guidelines for managing the transition to GenAI-enhanced processes.
Support structures for team members adapting to new tools and workflows.
Conclusion:
Implementing these checklists and protocols provides a structured framework to assess and prepare for the integration of GenAI. It’s essential to approach this process methodically, ensuring that infrastructure, data, skills, and compliance are thoroughly addressed. Regular reviews and updates to these protocols are also crucial as GenAI technology and its applications continue to evolve.
BR,
Markus
...
26 replies by ALEPH LUK, Akinwale Akinola, Azzam Mohamed, Bofeng Cheng, Christian Borchert, Christina Dietrich, Claudia Alcelay, Donna Ott, Fernando Valencia, Geetha Roberts, Giovanni Casanova, Holly Hanna, Horacio Caneque, Humphrey Omoregbe Osagiede, Kwiyuh Michael Wepngong, Lenin González Garcilazo, Nathalia Kwirant Tatagiba, Nicholas Swaby, Nirendra [Neel] Meisuria, Nishimwe Yvon Gilbert, Ogechukwu Nwachukwu, Robert Mosrie, Tosin Ibikunle, and YESWANTH KUMAR LEKKALA
Dec 06, 2023 6:08 PM
Ogechukwu Nwachukwu
...
Great points here for a AI/ML project readiness assessment very similar to what I have complied from training and research.
Dec 11, 2023 6:58 AM
Claudia Alcelay
...
Thank you, Markus, are you implementing any of these items when integrating AI into your clients?
Mar 01, 2024 3:15 AM
Kwiyuh Michael Wepngong
...
Insightful intervention here, sir, thank you
Mar 11, 2024 3:58 PM
Nathalia Kwirant Tatagiba
...
Thank you for sharing. Today I work on a Gen AI project at a retail company in Brazil. I will use your checklist in the next release.
Mar 21, 2024 11:02 PM
Tosin Ibikunle
...
Thanks
Apr 09, 2024 10:56 AM
Donna Ott
...
very helpful information. Mind if I copy it into a word document for use in the future?
Apr 16, 2024 3:40 PM
Giovanni Casanova
...
Great input and conclusion Markus; these are mostly the steps my company suggest to our clients to follow while working on implementing their digitalization and AI platforms journeys.
Jun 19, 2024 4:20 AM
Fernando Valencia
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Great input Markus, assessing the readiness of Gen AI in our companies is crucial. We also need to land our stakeholders expectations according to which model we decided to go with. In the end we all want to maximize the use of Gen AI and bring the most benefit to our processes and customers with a realistic approach.
Jun 28, 2024 12:56 PM
Christian Borchert
...
Dear Markus, this looks like a comprehensive checklist to start using GenAI in the company. In our company there has been implemented an Office of AI, which is spreading news and articles amongst everyone interested in AI topics. Up to now I didn't find out whether and how we implemented a checklist on using GenAI.
Jul 02, 2024 7:06 AM
YESWANTH KUMAR LEKKALA
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Great points to consider! As a beginner who wants to excel as a PM, I want to work on this to create a sample Project to implement Gen AI into an organization and its impact on the industry.
Any suggestions or guidance is greatly appreciated.
Thank You
Jul 25, 2024 11:48 AM
Azzam Mohamed
...
thanks for your input
Jul 25, 2024 11:48 AM
Azzam Mohamed
...
thanks for your input
Aug 08, 2024 1:14 AM
Akinwale Akinola
...
This is amazing Markus!
I am gradually working my way into becoming a KOL in Data Science, GenAI etc. I am an advocate for review of my current organization's way of working to incorporate some of these things into our work flows.
I am definitely going to use this as a guide.
Kudos!
Sep 01, 2024 8:05 AM
Robert Mosrie
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The list Markus provides is definitely comprehensive, but I would put engaging stakeholders at the top. In many organizations there is fear that utilizing AI will lead to laying off employees, sharing Client data inappropriately, and loss of control over quality of deliverables.
Sep 15, 2024 9:57 AM
Bofeng Cheng
...
It is impressive that you have made such a great effort on the checklist to help guide the integration of AI. I will read it carefully and practice it one by one.
Oct 18, 2024 9:45 AM
Nishimwe Yvon Gilbert
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Thanks Markus for this very good insight. I am pretty sure that when this check list is properly followed, it will lead to a successful AI integration in the company.
Dec 11, 2024 9:38 AM
Nirendra [Neel] Meisuria
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We are currently in the early stages of evaluating our readiness to adopt AI technologies. This involves assessing our organization's IT infrastructure and conducting training sessions to raise awareness among all employees. Additionally, we are implementing a pilot project for the Dragon Ambient eXperience (DAX) with six healthcare providers. DAX Copilot supports providers by capturing patient-provider interactions and converting them into clinical documentation.
This implementation has also highlighted critical considerations, including the ethical use of AI, as well as its legal and regulatory implications within the healthcare industry.
Feb 11, 2025 3:15 PM
Christina Dietrich
...
Appreciate your sharing this comprehensive checklist, Markus! I'm working my way through the educational/learning aspects and am just about to start using my company's internal GPT tool. My business unit was the last to receive a customized, security-hardened tool as we're quite cautious to keep IP confidential.
Mar 15, 2025 11:57 PM
ALEPH LUK
...
Thanks for sharing the structured approach. It's very helpful and practical.
Mar 17, 2025 8:18 PM
Horacio Caneque
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Hi Markus, was this an AI generated (or aided) answer? Thanks.
Mar 25, 2025 12:17 PM
Holly Hanna
...
Great list thank you
May 15, 2025 5:48 PM
Lenin González Garcilazo
...
Hi
I agree with the use of checklist to ensure the viability of usage of AI in our processes, but we should always identify the best Use Case for each scenario
Regards
May 19, 2025 6:31 AM
Geetha Roberts
...
Thank you Markus for sharing . Very helpful
Apr 24, 2025 4:23 AM
Humphrey Omoregbe Osagiede
...
Thank you Markus
May 15, 2025 10:58 AM
Nicholas Swaby
...
Thank you Markus
May 15, 2025 10:58 AM
Nicholas Swaby
...
Thank you Markus
Saving Changes...
Zohaib QadirSystem Administrator Picture Archiving and Communication System (PACS)| Peshawar Institute of CardiologyPeshawar, Kpk, Pakistan
Dear Claudia
Here's a checklist to help guide the integration of AI successfully:
Define Clear Objectives:
Clearly outline the objectives you want to achieve with AI integration.
Align AI goals with overall business and project objectives.
Understand Stakeholder Needs:
Identify and involve key stakeholders in the AI integration process.
Understand their needs, concerns, and expectations related to AI.
Assess Readiness and Capacity:
Evaluate the organization's readiness for AI adoption.
Assess the available technical infrastructure and the capacity for handling AI technologies.
Data Governance and Quality:
Establish robust data governance policies.
Ensure data quality and integrity for accurate AI model training.
Security and Compliance:
Address security concerns related to AI systems.
Ensure compliance with relevant regulations and standards.
Talent Acquisition and Training:
Identify the need for new skills and talents.
Invest in training programs for existing staff to adapt to AI technologies.
Start with a Pilot Project:
Initiate AI integration with a small, manageable pilot project.
Use the pilot project to identify challenges and refine the integration strategy.
Choose Appropriate AI Models:
Select AI models that align with project goals.
Consider factors such as machine learning algorithms, deep learning, or natural language processing based on project requirements.
Ethical Considerations:
Establish ethical guidelines for AI use.
Address biases and fairness concerns in AI algorithms.
Monitoring and Evaluation:
Implement robust monitoring mechanisms for AI performance.
Regularly evaluate the impact of AI on project objectives.
User Training and Acceptance:
Provide adequate training to end-users interacting with AI systems.
Foster a culture of acceptance and collaboration between AI and human teams.
Scalability and Future Planning:
Design AI integration with scalability in mind.
Develop a roadmap for future AI enhancements and technologies.
Continuous Improvement:
Regularly update AI models to improve accuracy and efficiency.
Stay informed about advancements in AI technologies.
Communication Plan:
Develop a communication plan to keep stakeholders informed.
Clearly communicate the benefits and impacts of AI integration.
Contingency Planning:
Develop contingency plans for potential AI failures or issues.
Establish protocols for addressing unexpected challenges.
...
12 replies by Balamanikandan Maheswaran, Claudia Alcelay, Coco Leung, Donna Pierre, Elizabeth Darlington, Joao (John) Henrique Freitas Andrade, Jonas Nikwigize, PMP, PMI-RMP, Nkwenti Hoza Giresse, Noe ibarra cardozo, VICTOR ANAEDOBE, Yaravi Cardoze, and Zahra Seifi
Dec 11, 2023 7:02 AM
Claudia Alcelay
...
Thank you for sharing Zohalb, there is a great amount of information in your post. Could you share any specific cases when you have implemented AI in your customers? It would help us see a real case. Thanks a lot
Feb 28, 2024 3:46 AM
Nkwenti Hoza Giresse
...
Zohaib Qadir, this is a detailed and well-structured guideline for choosing and implementing AI more effectively. Thanks for sharing.
Feb 28, 2024 3:21 PM
Jonas Nikwigize,PMP, PMI-RMP
...
Thank You, Zohaib for sharing the insightful checklist with us!
Feb 28, 2024 4:44 PM
Zahra Seifi
...
Thanks for the informative and to-the-point factors that you shared.
Mar 12, 2024 6:55 PM
Yaravi Cardoze
...
Liked the list and also Marcus post. Very similar approach. I use something very similar, with more deepness on the people´s adoption strategies, as AI/ML projects are not easy to adopt inside organizations, even when there are efforts around explaining, training, re-skill and upskill .... and the north, the value and exec sponsorship are in place..
Ah! and data governance and quality.. easier to say than to determine :)
Apr 19, 2024 1:35 AM
VICTOR ANAEDOBE
...
Thanks a lot for this guideline.
Aug 27, 2024 4:59 PM
Elizabeth Darlington
...
Thanks for your detailed guidance. I am just getting started in my AI journey.
Nov 23, 2024 6:52 AM
Balamanikandan Maheswaran
...
Thanks
Dec 27, 2024 6:01 PM
Coco Leung
...
This is great insight, thanks for sharing. I appreciate the thoroughness as I am learning the new AI approach.
Jan 02, 2025 8:34 AM
Donna Pierre
...
This is a great and detailed outline Zohaib. Many thanks for sharing. The use of AI in Project Management has only touched the surface so far at my organization, but in this Data Landscape of GENAI for PM course, the understanding of how this can be considered is certainly a big take away for me. Your areas identified will definitely help and allow us to not feel like we are starting at absolute ground zero.
Apr 12, 2025 12:19 PM
Joao (John) Henrique Freitas Andrade
...
This checklist is excellent—thanks for sharing. Since we’re still early in our AI journey and don’t have a formal policy yet, I’d suggest we start small: maybe identify a pilot use case tied to a current workflow, and at the same time, draft a basic internal guideline around safe AI use (data types, tool approval, etc.). We’ll also need cross-functional input from IT, HR, and Legal, so we align early and avoid blockers. I believe we can find some quick wins, like automation of low-risk tasks, that show real value and build momentum.
Jun 16, 2025 6:17 PM
Noe ibarra cardozo
...
Thanks Zohaib, did you use an AI tool to create that list. Its great.
I wonder if companies need to look into creating different approaches of IA integration for the different departments or if is better to include the entire organization.
Specific checklists and protocols can be beneficial to assess readiness for working with Generative AI (GenAI) data within a project or organizational context. These tools help ensure all necessary factors are considered and addressed before integrating GenAI into your workflows. Here’s a structured approach:
Evaluate existing IT infrastructure for compatibility with GenAI requirements.
Ensure adequate computing power and storage capacity.
Assess network capabilities for handling GenAI data processing.
Data Management:
Inventory available data sources relevant to GenAI applications.
Assess the quality, volume, and variety of data.
Establish data governance policies, including data privacy and security measures.
Skills and Knowledge:
Evaluate the team’s current understanding of GenAI.
Identify skill gaps and plan for training or hiring.
Ensure access to GenAI expertise, either internally or through external partnerships.
Legal and Compliance:
Review data usage and GenAI applications for compliance with laws (e.g., GDPR, CCPA).
Assess ethical considerations related to GenAI use.
Technology and Tools:
Identify and evaluate GenAI tools and platforms suitable for your needs.
Ensure compatibility of these tools with existing systems.
Risk Assessment:
Identify potential risks associated with GenAI implementation.
Develop strategies for risk mitigation.
Stakeholder Engagement:
Engage with key stakeholders to understand their expectations and concerns.
Develop a communication plan for GenAI integration.
Pilot Testing:
Plan for pilot projects to test GenAI integration.
Define success criteria for pilot projects.
Feedback and Improvement Mechanisms:
Establish processes for ongoing feedback on GenAI use.
Plan for regular reviews and updates of GenAI strategies.
Protocols for GenAI Integration:
Project Initiation Protocol:
Define objectives and scope for GenAI application in specific projects.
Conduct initial stakeholder meetings to align goals and expectations.
Data Preparation Protocol:
Standard procedures for data cleaning, labeling, and preprocessing.
Protocols for data security and privacy during GenAI handling.
Training and Development Protocol:
Guidelines for training team members on GenAI tools and concepts.
Schedule for ongoing learning and development.
Quality Assurance Protocol:
Steps for validating and testing GenAI outputs.
Regular audits to ensure quality and accuracy.
Change Management Protocol:
Guidelines for managing the transition to GenAI-enhanced processes.
Support structures for team members adapting to new tools and workflows.
Conclusion:
Implementing these checklists and protocols provides a structured framework to assess and prepare for the integration of GenAI. It’s essential to approach this process methodically, ensuring that infrastructure, data, skills, and compliance are thoroughly addressed. Regular reviews and updates to these protocols are also crucial as GenAI technology and its applications continue to evolve.
BR,
Markus
Great points here for a AI/ML project readiness assessment very similar to what I have complied from training and research.
...
2 replies by Claudia Alcelay and Markus Kopko
Dec 08, 2023 5:22 AM
Markus Kopko
...
Thanks!
Dec 11, 2023 7:00 AM
Claudia Alcelay
...
Thanks Ogechukwu, nice insights.
The same as with Markus, could you share any case from this list of items? Any experience that you have encountered? it would illustrate a lot and help us. Than you so much!
Saving Changes...
Markus KopkoPrincipal Project Management Consultant| Karer Consulting AGHamburg, Hamburg, Germany
Dec 06, 2023 6:08 PM
Replying to Ogechukwu Nwachukwu
...
Great points here for a AI/ML project readiness assessment very similar to what I have complied from training and research.
Product Manager AI| Project Management Institute (PMI)Spain
Dec 02, 2023 8:50 AM
Replying to Markus Kopko
...
Dear Claudia,
Specific checklists and protocols can be beneficial to assess readiness for working with Generative AI (GenAI) data within a project or organizational context. These tools help ensure all necessary factors are considered and addressed before integrating GenAI into your workflows. Here’s a structured approach:
Evaluate existing IT infrastructure for compatibility with GenAI requirements.
Ensure adequate computing power and storage capacity.
Assess network capabilities for handling GenAI data processing.
Data Management:
Inventory available data sources relevant to GenAI applications.
Assess the quality, volume, and variety of data.
Establish data governance policies, including data privacy and security measures.
Skills and Knowledge:
Evaluate the team’s current understanding of GenAI.
Identify skill gaps and plan for training or hiring.
Ensure access to GenAI expertise, either internally or through external partnerships.
Legal and Compliance:
Review data usage and GenAI applications for compliance with laws (e.g., GDPR, CCPA).
Assess ethical considerations related to GenAI use.
Technology and Tools:
Identify and evaluate GenAI tools and platforms suitable for your needs.
Ensure compatibility of these tools with existing systems.
Risk Assessment:
Identify potential risks associated with GenAI implementation.
Develop strategies for risk mitigation.
Stakeholder Engagement:
Engage with key stakeholders to understand their expectations and concerns.
Develop a communication plan for GenAI integration.
Pilot Testing:
Plan for pilot projects to test GenAI integration.
Define success criteria for pilot projects.
Feedback and Improvement Mechanisms:
Establish processes for ongoing feedback on GenAI use.
Plan for regular reviews and updates of GenAI strategies.
Protocols for GenAI Integration:
Project Initiation Protocol:
Define objectives and scope for GenAI application in specific projects.
Conduct initial stakeholder meetings to align goals and expectations.
Data Preparation Protocol:
Standard procedures for data cleaning, labeling, and preprocessing.
Protocols for data security and privacy during GenAI handling.
Training and Development Protocol:
Guidelines for training team members on GenAI tools and concepts.
Schedule for ongoing learning and development.
Quality Assurance Protocol:
Steps for validating and testing GenAI outputs.
Regular audits to ensure quality and accuracy.
Change Management Protocol:
Guidelines for managing the transition to GenAI-enhanced processes.
Support structures for team members adapting to new tools and workflows.
Conclusion:
Implementing these checklists and protocols provides a structured framework to assess and prepare for the integration of GenAI. It’s essential to approach this process methodically, ensuring that infrastructure, data, skills, and compliance are thoroughly addressed. Regular reviews and updates to these protocols are also crucial as GenAI technology and its applications continue to evolve.
BR,
Markus
Thank you, Markus, are you implementing any of these items when integrating AI into your clients?
...
7 replies by Daniel Weathersby, Francis Irudayaraj, Markus Kopko, Ogechukwu Nwachukwu, Priscilla Medina Fernandez, and Serge Komi Innocent
Dec 12, 2023 5:04 PM
Markus Kopko
...
Dear Claudia,
sure, of course, it depends on the specific customer and the specific project situation, but we always customize and streamline the checklists and the needed Steps/deliverables.
But most of the checkpoints are needed for most of the projects.
BR,
Markus
Dec 16, 2023 5:17 PM
Ogechukwu Nwachukwu
...
Hi Claudia, I have some documentation that provides guidelines/framework for managing AI/ ML projects. This platform does not have an attached feature. if you share me your email, then I can send it to your mail box.
Jul 14, 2024 8:08 PM
Serge Komi Innocent
...
thanks for sharing
Sep 07, 2024 11:39 AM
Francis Irudayaraj
...
Dear Claudia Alcelay,
Thank you for your insightful question regarding the integration of AI into our clients’ operations. At PRORD Human Capital and Innovation Management, we are indeed implementing several key strategies to ensure a smooth and effective integration of AI technologies. Here are some of the measures we are taking:
1. AI Readiness Checklist
We utilize a comprehensive AI readiness checklist to evaluate our clients’ current capabilities and identify areas for improvement. This includes assessing their infrastructure, data management practices, and workforce AI literacy.
2. Low-Risk Use Cases
We start with low-risk use cases to explore AI’s capabilities without significant risks. This approach allows us to demonstrate the value of AI while minimizing potential disruptions.
3. Technological Infrastructure
Ensuring that our clients’ technological infrastructure is up-to-date and capable of supporting AI implementations is a priority. We work closely with them to enhance data quality, accessibility, and overall operational efficiency.
4. Operational Efficiency
We analyze our clients’ workflows to identify areas where AI can streamline processes and increase efficiency. This often involves automating manual tasks and optimizing operations.
5. Organizational Culture
We emphasize the importance of fostering an organizational culture that embraces innovation and change. Successful AI implementation requires a team that is adaptable and open to new technologies.
6. C-Suite Buy-In
Securing buy-in from the leadership team is crucial. We ensure that our clients’ leadership understands the value of AI and is committed to its implementation, recognizing its potential to automate tasks and improve efficiency.
7. Release-Readiness Checklist
We develop a release-readiness checklist for Gen AI-based products. This checklist helps our clients evaluate key aspects such as performance, monitoring, and deployment strategies.
We believe that these strategies are essential for successfully integrating AI into our clients’ workflows and achieving their business objectives. If you have any further questions or would like to discuss this in more detail, please feel free to reach out.
Best regards,
Francis
PRORD Human Capital and Innovation Management
Oct 09, 2024 11:47 AM
Priscilla Medina Fernandez
...
Hola, veo que finalmente si pudimos encontrar el listado de herramientas IA que buscábamos, Claudia me lo podrías enviar? Hablamos por privado.
Dec 10, 2024 9:52 AM
Daniel Weathersby
...
Hi - I have worked on automated projects in which we have implemented machine learning tools - such as UI Path. I feel this opens the door to GenAI and the path in which we will start taking as a company.
Dec 10, 2024 9:52 AM
Daniel Weathersby
...
Hi - I have worked on automated projects in which we have implemented machine learning tools - such as UI Path. I feel this opens the door to GenAI and the path in which we will start taking as a company.
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