What’s working for us is treating Generative AI as a data amplifier, not just a content generator. The real value comes from how well we structure and feed it project data.”
Start with clean, relevant inputs (project docs, risks, lessons learned)
Use AI to surface insights, not just summaries
Standardize a few high-impact prompts and reuse them
Keep a human-in-the-loop for validation and context
Focus on quick wins first (reports, meeting insights, risk signals)
The better your data + context to get the smarter and more reliable your AI outputs.