S
Sight
Where does AI influence material decisions, workflows and outcomes? What can leadership actually see?
Service / AI Governance
AI governance belongs in the boardroom.
Boards do not need to become technologists. They do need confidence about where AI is used, who is accountable, whether controls are effective and when issues should be escalated.
The principle
Effective governance creates the conditions for responsible adoption—not a reason to stand still.
The SAGE framework
Oversight made practical.
Developed by Dr Abbie Widin for directors, SAGE provides four questions through which boards and executive teams can examine both internal and third-party AI systems.
A
Accountability
Who owns the performance, vendor risks, assurance and response when AI systems fail or change?
G
Guardrails
Are legal, ethical and strategic boundaries clear, tested and supported by effective controls?
E
Escalation
Which anomalies, failures and unresolved risks must reach senior management or the board—and when?
SAGE: Sight · Accountability · Guardrails · Escalation. Framework by Dr Abbie Widin.
How we can help
Turn oversight into action.
Support can be tailored to the board, management team or organisation's current governance maturity.
Board briefings & workshops
Make AI's opportunities, material exposures and director responsibilities intelligible, relevant and discussable.
AI governance review
Assess visibility of AI use, ownership, oversight structures, third-party exposure and escalation readiness.
Policies & practical guardrails
Shape risk-proportionate policies, decision rights, reporting expectations and oversight responsibilities.
Governance roadmap & assurance
Prioritise actions to embed governance in existing committees, risk processes, training and management reporting.
A board-level view
Govern the risk.
Enable the opportunity.
The right response is neither blanket enthusiasm nor blanket restriction. It is informed oversight, proportionate to the organisation's strategy, exposure and capacity.
Our approach draws on commercial leadership, technology development and lived boardroom experience, rather than treating AI governance as a standalone technical checklist.
One question to start withCan the board explain where AI matters most—and how it knows the controls are working?Making governance visible, accountable and actionable.
AI governance advisory
Bring structure to the AI conversation.
Discuss a board briefing, a SAGE-led governance review or a practical next-step roadmap.