AI Strategy for Boards and Executives
AI creates both risk and opportunity. Without guardrails, experiments fail. With structure, boards get ROI and responsible governance.
Boards need a disciplined approach for AI, balancing opportunity and oversight.
“AI isn’t about chasing trends. It’s about enabling better decisions, faster execution and actual, tangible results.”
Ari Magalhaes
Why AI Strategy Matters
Boards must own AI: regulators expect oversight across ethics, data and automation risk.
Too many pilots fail: misaligned projects scatter resources and stall adoption.
Mission alignment is essential : AI should deepen your purpose, not distract from it.
ROI counts : AI strategy must deliver tangible financial and operational results to the organisation.
The AI Strategy Journey
1. AI Readiness Assessment
Benchmark current capability against industry peers and identify opportunities, risks, and governance requirements.
2. AI Integration Strategy
Define priority use cases aligned with board strategy and model financial & operational impact before committing spend.
Establish accountability, oversight & ethical guardrails and align governance with evolving regulatory requirements.
3. AI Governance Framework
Why OmniStrategic
Independent, outcome-driven advice not tied to specific vendors.
Integration of risk, finance and strategy for whole-of-organisation adoption.
Experience implementing emerging technology in high trust sectors.
Take Action
Book the AI Kickstart Session: a 45-minute session + Executive Report.