5 Ways Gen AI Drives Unstoppable Product & Project Growth

Gen AI has moved beyond side experiments. Over the past year, many teams have started using it in daily work, especially where speed and clarity matter. For leaders, the advantage shows up when product and delivery decisions take days instead of weeks, without hiring additional program managers or adding new approval steps. 

Watch the Full Masterclass Video: 5 Ways Gen AI Drives Unstoppable Product and Project Growth

Most organizations still stall because adoption starts in fragments. A handful of early adopters test isolated tools. Someone uses it to draft a document. Someone else relies on it for summaries. The broader organization sees no measurable change in delivery speed, decision quality, or team alignment. Planning cycles stay long. Feedback loops stay slow. 

Meaningful impact comes when Gen AI is treated as an operating capability rather than a helper tool. That happens when it is built into core workflows, such as sprint planning, decision reviews, and post-launch learning, instead of being used only for documentation or one-off tasks. 

In a recent masterclass, Aditya Bhattacharya, a Generative AI researcher at KU Leuven and former leader at Microsoft, Intel, and West Pharma, outlined a framework for integrating Gen AI into everyday team operations. The framework focuses on a small set of recurring activities where teams lose time or clarity, and shows how Gen AI can shorten feedback loops between planning and execution. It also addresses practical guardrails, including data exposure risks and over-reliance on generated outputs. 

The free eBook translates that session into concrete guidance leaders can apply immediately. It is designed for managers who want to move from experimentation to repeatable results. 

Inside, you will find three practical components: 

• Criteria for identifying which workflows benefit from Gen AI and which should remain manual 
• Examples from product and operations teams using Gen AI during planning, delivery, and review cycles 
• A responsible adoption lens that highlights where access controls, review steps, and accountability matter most 

If you are evaluating Gen AI for your organization, this guide helps you take a first operational step with less risk. 

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Get a step-by-step starting plan you can test with one team.