AI Software for Project Management: Build or Buy?
From the AI IQ Blog
by Paul Boudreau
Technology offers an incredible opportunity to improve project performance. This blog shares the latest research and how organizations are implementing AI into their project methodology. Come with an open mind, increase your knowledge, share your concerns, and become a project manager with new skills to offer an organization.
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There are two options for obtaining AI software: build your own or procure them from a vendor. Developing AI tools should be based on a well-conceived strategy. The first step is to understand existing project problems, such as the inability to achieve budget goals, constant change requests, or the inability to identify and manage risks. The next step is to create the objectives for the new AI-based process. The organization must consider a change that disrupts the project methodology instead of simply automating existing tasks and roles. It should also be evident that applying AI to the project methodology requires an effective change management process.
There are advantages and disadvantages to building or buying AI tools for project management. Building tools internally brings increased knowledge to the organization, maintains a higher level of data security, and allows a faster, more flexible response to feedback. Buying tools allows the organization to take advantage of vendor experience in the market, avoids the search for highly skilled AI resources, and set more attention on solving the project problem.
Build Advantages
- Increase internal knowledge
- Maintain data security
- Provide flexibility for changes
- Offers instant feedback and adjustments
Buy Advantages
- Capitalize on vendor experience
- Utilize industry solution
- Reduce resource acquisition concerns
- Focus on data, not algorithms
Additional considerations in either scenario include responsibility for managing data, providing support for the new AI-based process, proper interpretation of results, and the strategy for testing and validation. There are numerous vendor offerings that use AI as a core algorithm in their software. Some organizations take advantage of this opportunity, while others use internal resources to create their own machine learning and natural language processing (NLP) algorithms to apply to their project methodology.
Posted on: November 06, 2023 12:00 AM |
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Comments (5)
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Luis Branco
CEO| Business Insight, Consultores de Gestão, Ldª
Carcavelos, Lisboa, Portugal
Dear Paul
This article of yours is very interesting
Thank you for sharing and your opinions
Buy or make? that is the question
In one case or another, always pay attention to the data
Kwiyuh Michael Wepngong
Community Champion
Financial Management Specialist | US Peace Corps
Yaounde, Centre, Cameroon
Markus Kopko
AI Enabler for Project & Program Mgmt | Founder PMotion.ai / The PM
AI Coach| PMotion.ai
Hamburg, Hamburg, Germany
The decision to build or buy AI software for project management is a strategic one that should be aligned with your organization's capabilities, resources, and long-term objectives. As a senior project and program manager with extensive experience, your insights would be particularly valuable in navigating this decision. Here's a structured approach to evaluating the build vs. buy dilemma:
Build AI Software: In-House Development
Strategic Alignment: Assess how building AI tools aligns with your company's strategic goals. Does your organization prioritize technological innovation and internal competency development?
Resource Allocation: Evaluate if you have the necessary resources, including skilled personnel, time, and budget, to undertake such a development project.
Customization and Control: Building in-house allows for customization tailored to specific project management needs and methodologies, offering more control over the tool's functionality.
Data Security: Consider the sensitivity of your data. In-house development can offer more robust data security, as data handling and storage remain internal.
Long-Term Investment: Recognize that building AI tools is a long-term investment in your organization’s intellectual property and technological capability.
Buy AI Software: Vendor Procurement
Rapid Deployment: Purchasing from a vendor can be quicker to deploy, allowing you to benefit from AI capabilities without the delay of development time.
Vendor Expertise: Leverage the expertise and experience of vendors specializing in AI for project management, benefiting from their proven solutions.
Cost Efficiency: Initially, buying may be more cost-effective, especially when considering the resources required for development, maintenance, and updates.
Focus on Core Competencies: Buying allows your organization to focus on its core project management competencies rather than diverting attention to software development.
Scalability and Support: Established vendors often provide scalable solutions with ongoing support and updates.
Additional Considerations
Data Management: Data governance and management are crucial to building or buying. Who will be responsible for managing and ensuring the data quality fed into the AI system?
Integration with Existing Systems: Consider how well the AI tool will integrate with your current project management systems and workflows.
Change Management: Implementing AI in project management processes requires an effective change management strategy to ensure smooth adoption and minimal disruption.
Continuous Evaluation: Regardless of the choice, it's important to continuously evaluate the effectiveness of the AI tool in meeting project management objectives and adapt as needed.
Compliance and Ethical Considerations: Ensure that the AI solution, whether built or bought, complies with relevant laws and ethical standards, particularly regarding data privacy and bias.
Conclusion
The choice between building or buying AI software for project management depends on multiple factors, including your organization’s strategic direction, resource availability, risk tolerance, and the specific needs of your project management processes. As an experienced professional in this domain, your role in guiding this decision is crucial, ensuring that the chosen approach not only enhances project management effectiveness but also aligns with your organization's broader goals and values.
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