PMI Team Member
From Strategy to Jira: Ensuring teams deliver on business goals.
April 23, 2025 | Live Webinar
Project Management Central
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Julie,
AI’s transformative potential is undeniable, and at my consulting firm, we’re actively helping organizations navigate this shift by embedding AI into strategic operations and project delivery. PMI’s guide, 'Leading AI Transformation', resonates strongly with our work particularly its emphasis on aligning AI adoption with business outcomes and change management. To answer your questions: 1. Our Approach to AI Adoption: We partner with clients to tailor AI integration based on their maturity level, focusing on quick wins (e.g., automating repetitive tasks) while building long-term capabilities (e.g., predictive analytics for project risk management). 2. Our Role: As strategy consultants, we act as translators-bridging the gap between technical AI potential and practical execution, ensuring PMOs/TMOs lead with governance frameworks and measurable ROI. 3. Key Challenges: Resistance to change and data fragmentation are common hurdles. We address these by co-creating roadmaps with stakeholders and piloting use cases to demonstrate value early. 4. Guide Takeaways: The 'Human-Centered AI' section stood out success hinges on upskilling teams and fostering trust in AI-driven decisions. Sanjay 
We're leveraging AI where it makes sense but don't have an AI strategy and won't be pursuing a formal transformation. Those of us on the leadership team are responsible for improving efficiency in each of our areas. We allow/encourage our teams to use GenAI, where it makes sense as long as they're not feeding it proprietary information.
Adding AI into the mix is just part of the new reality. But, we're not adding AI for the sake of adding AI. For example, the company uses ClickUp, but only a few people would benefit from the AI features in it; it's not worth the additional cost of licensing it for everyone. On the other hand, I'm considering moving IT off of ClickUp and onto Jira (we're small enough to be able to use it for free) so that we can use that budget to license AI-enhanced code review tools that integrate with our tech stack. Other tools we already use have introduced AI features at no additional cost. It is likely that, as we look into replacing older tools, whether the replacement has AI features (that we would benefit from) may become a selection criteria. Cost will also be a factor we consider. One question floating at the back of my mind is "How many different AI tools do we need?" 
different context here: Few years ago, we were a start-up company, merged/acquired by a group with group policies, navigating AI adoption in our daily work where our business unit site is delivery a cutting edge technology is very challenging. We don't even know what we have access to as AI tools nor the policies.
I need to find out, but with my daily workload, it'll be a journey. The good news, I really want to be the champion on site to lead this endeavor. Stay tuned!! |
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