Suncor — Talking Scripts

AI is a competitive weapon here — not a tech project. Six Phase 1 use cases across the integrated chain: predictive maintenance, production optimization, refinery analytics, safety monitoring, emissions tracking, and retail customer analytics.

The roadmap is three stages. Pilot — months zero to six: stand up governance, launch 3–4 high-value pilots. Prove — months six to twelve: validate ROI, integrate into operating routines with human-in-the-loop controls. Scale — months twelve to twenty-four: roll out enterprise-wide with role-based training embedded in KPIs.

Governance is owned by a Chief Data lead with business owners. Pilots are proven before we scale — that's how you avoid deploying AI without guardrails in safety-critical operations.

Seven KPIs across five perspectives. Financial: break-even to US$35 and free cash flow at top quartile. Operational: 99–103% refining utilization and unit cost declining year on year. Safety: TRIF and serious-incident frequency down — recordables already down 15%, lost-time injuries down 42% in 2025. Sustainability: emissions intensity on the net-zero path. AI adoption: Phase 1 live by 2027, scaling to 2028.

Monthly cadence on operations and safety. Quarterly on everything else. No annual surprises.

Four parallel programs across 18 months: cost and reliability from day one, AI through Pilot, Prove and Scale, downstream integration from Q2, and safety and OEMS throughout. In-situ transition planning loads at Q5 — that's Mission 2 beginning.

Three value drivers: cost-out delivering resilient free cash flow at any oil price — 2025 free funds flow was $6.9B. Integrated margin from refining and Petro-Canada buffering upstream price swings. And AI plus capital discipline raising returns from existing assets — capex already $540M under guidance in 2025, with $5.8B returned to shareholders.