How Are You Leveraging GenAI to Boost Project Productivity?

Roman Shlyakhetko
Important topic to reflect on and one that deserves both strategic and practical attention.

In my experience, GenAI can be a powerful partner only when its use is intentional, integrated, and contextualized.
Otherwise, it risks becoming a novelty or even a distraction.

In our project environments, we’ve seen real productivity gains from GenAI in areas such as:
- Scoping and Chartering — Drafting initial project documents faster, while still requiring human validation for strategic alignment.
- Risk Management — Using GenAI to simulate scenarios, identify hidden dependencies, or explore mitigation strategies beyond the obvious.
- Stakeholder Communication — Generating tailored summaries, FAQs or visual explainers to support transparency and engagement.
- Meeting Efficiency — Automatically generating action items and summarizing discussions, freeing time for higher-value dialogue.

But the real differentiator comes not from automation alone.
It comes from amplifying human judgment.
GenAI supports critical thinking when used as a sparring partner, not as a crutch.

In terms of measurement, we combine quantitative indicators (e.g. time saved, task throughput, reduced rework) with qualitative insights (e.g. clarity of deliverables, team satisfaction, decision confidence).
Together, they offer a more holistic view of productivity gains.

Curious to hear how others are ensuring ethical, purpose-driven and team-enabled adoption of GenAI in their project ecosystems.

We’ve started using GenAI mainly for two areas: reducing time spent on documentation and supporting decision-making. Drafting reports, risk logs, and meeting notes now takes a fraction of the time, and the team can focus on higher-value conversations. We also experiment with scenario simulations, where GenAI helps surface potential options or risks we might overlook. Measuring productivity gains isn’t just about speed, it’s also about the quality of collaboration. For us, fewer delays in aligning stakeholders and clearer documentation are strong indicators that it’s adding value.

Hi Lissette!
Great to hear how you’re applying GenAI to both documentation and decision support. These are really practical examples.

Could you elaborate a bit more on how do you track the impact on collaboration quality beyond reduced delays?

Hi Luis,

Thank you for such a wide and detailed answer. I really like how you point out that GenAI brings real value only when it is used with intention and in the right context. I also agree with your view that GenAI should not only be about automation but also about being a sparring partner that helps us think better and see more options.

Regarding your question about ethical and purpose-driven adoption, I believe it starts with setting clear rules for responsible use and making sure the whole team understands them. It is also important to build skills together so everyone can use GenAI with confidence.

GenAI is definitely reshaping project work. I’ve seen it add value in:

➜ Initiation & Planning – faster feasibility reports, risk identification, and stakeholder analysis
➜ Execution – automating routine documentation, meeting summaries, and task tracking
➜ Monitoring & Control – predictive insights on schedule slippage or budget overruns
➜ Closure – lessons learned captured and structured into reusable knowledge

For measuring productivity gains, I usually compare time saved on repetitive tasks, improvements in decision speed, and stakeholder satisfaction against baselines from past projects.