Enterprise AI Governance
Single source of truth for this strategic initiative — objectives, risks, expert guidance and the path to a decision.
Establish an enforceable AI risk and compliance framework before enterprise Copilot and model deployments scale beyond pilot.
AI adoption is accelerating across trading, research, and operations without unified governance. Data leakage, model drift, and regulatory ambiguity create board-level exposure. This decision defines the policy, control, and oversight model for all AI usage at Wood Mackenzie.
- Define acceptable use policies for GenAI and classical ML
- Implement model inventory, risk scoring, and approval gates
- Align with emerging EU AI Act and SEC disclosure requirements
- Establish AI ethics review board with cross-functional representation
"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."
"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."