Course Objective & Scope
By the time a six-month custom AI engineering project ships, a new foundation model release may render it trivial—while committing probabilistic AI bets to rigid quarterly launch dates sets product and engineering teams up to fail. This programme teaches how to manage AI product roadmaps and portfolios under technological velocity and uncertainty.
Participants balance their organisation's AI initiatives across a portfolio matrix (productivity, core product enhancement and transformative bets), stress-test roadmap items against base-model progress, and build a stage-gated roadmap and metric plan.
Who Should Attend?
- Product directors, group product managers, CPOs and PMO leaders
- Digital transformation and AI portfolio managers
- Engineering and data science managers
- No technical prerequisites
Key Takeaways
- Prioritise AI initiatives across business value, technical readiness, data maturity and risk
- Avoid building fragile workarounds that next-generation foundation models will soon absorb
- Replace rigid date-driven commitments with outcome- and eval-gated roadmap milestones
- Coordinate shared dependencies across data, platform, legal/security and product squads
- Establish clear stage-gate criteria for scaling, pivoting or sunsetting AI experiments
Curriculum
Why Traditional Roadmaps Break on AI Projects
- Non-linear accuracy improvements and discovery uncertainty
- The base-model tailwind test: building WITH model progress rather than against it
AI Portfolio Balancing and Prioritisation Matrix
- Balancing Horizon 1 (workflow acceleration), Horizon 2 (product differentiation) and Horizon 3 (new models)
- Scoring data readiness, integration effort and regulatory exposure
Stage-Gated and Eval-Driven Roadmapping
- Feasibility Spike → Shadow/Internal Pilot → Guarded Beta → General Availability
- Setting explicit quality, latency and unit-cost gates for each rollout stage
Shared Platform Enablers and Cross-Team Dependencies
- Aligning shared RAG, MCP, guardrail and eval platforms with product roadmaps
- Escaping 'POC purgatory': closing the gap between prototype and production
Portfolio Governance, ROI Tracking and Sunset Decisions
- Quarterly portfolio reviews driven by adoption, quality retention and inference ROI
- AI roadmap template and stage-gate decision checklist
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