Move beyond guesstimates, slide decks, and buzzwords. This interactive session explores how AI can actually improve portfolio planning, monitoring, governance, and delivery flow - grounded in real practices rather than product pitches. This session will show how AI “partners” can help with demand intake, oversight, risk sensing, delivery flow, financial forecasting, and strategic evaluation, and how these capabilities fit within Lean Portfolio Management ways of working.

You’ll learn how to translate portfolio objectives into AI-assisted routines - prioritising under constraints, spotting early warning signals, running scenario tests, and tracking benefits so that outcomes (not activity) stay front and centre. We’ll also cover the realities: data readiness, transparency and explainability, responsible use, and how to introduce AI incrementally within your existing toolchain.

You’ll leave with

• A clear mental model of where AI adds value (and where it doesn’t) across the portfolio lifecycle from intake to benefits realisation.

• Practical patterns for forecasting and outcome tracking you can trial without AI in weeks, not months.

• A starter checklist for data, governance, and change enablement to de-Risk your first steps.