Your AI Demo Looks Great. Now Where’s the Revenue?

Everyone’s shipping AI features — few are moving the business. Drawing on real deliveries across fintech and marketplaces, this session gives PMs and business leaders a practical way to pick the right AI bets, kill the wrong ones early, and turn pilots into measurable outcomes.

Key Takeaways

1) Why most AI projects never reach the P&L — the real reasons pilots stall (not the model, but data, ownership, and unclear business goals), and the early signals that a bet is going nowhere.
2) A simple framework to choose AI bets that matter — how to separate genuine ROI use cases (fraud detection, recommendations, content automation) from expensive distractions, before you commit budget or a sprint.
3) Real stories from fintech and marketplaces — how GenAI cut vendor approval cycles by several folds and reduced operating costs, and what made those specific bets work when others don’t.
4) Build, buy, or partner — a decision you can make without a PhD — a plain-language way for PMs and owners to choose an approach that fits their team, budget, and timeline.
5) Your Monday-morning move — one concrete action each role (PM, owner, dev) can take to align AI capability with a real business outcome this quarter.