AI Governance Toolkit
This Excel workbook contains 26 implementation actions, with accountable owners, responsible leads, priority, status, start/due day, expected evidence and dependencies. It shows how to put all the the other individual governance resources into operation.
This Executive AI Governance Dashboard is a one-page monthly/quarterly report designed to answer three questions in under a minute:
How much AI are we using? Is it under control? Is anything requiring executive attention?
The Executive AI Governance Maturity Dashboard. Use it to assess your organisation’s current AI governance maturity, identify priority gaps, establish an appropriate target state and create a practical improvement roadmap.
The AI use-Case Register; an Excel workbook that captures Use-cases with business owner, sponsor, business problem, proposed AI solution, expected benefits, KPIs, costs, ROI, lifecycle status, governance decision, risk, data sensitivity, human oversight, guardrails, vendors and review dates.
The AI Risk Assessment; records each AI risk against the relevant use case, business owner, lifecycle stage, data sensitivity and human oversight model.
The workbook is designed to link naturally to the AI Use-Case Register through the AI Use-Case ID.
The AI Risk Classification Matrix: Consisting of four governance tiers: Low, Moderate, High and Critical, with typical characteristics, example AI uses, minimum governance requirements, human oversight, review frequency and approval authority.
The AI Acceptable Use Policy Word doc, is a practical policy that you can customise and adopt. It includes 23 sections, covering: approved and prohibited uses, sensitive data, human accountability, AI agents, guardrails, hallucinations, bias, IP/copyright, third-party AI, customer communications, prompt injection, incident reporting, risk classification, training and governance responsibilities.
The AI Vendor Assessment Excel workbook, with 28 due-diligence questions covering governance, privacy, cybersecurity, model risk, agentic AI, integrations, contracts, supply chain, resilience, auditability and commercial viability. With Executive Guidance explaining how the assessment connects to the Use-Case Register, Risk Classification Matrix and AI Risk Assessment.
The AI Project Approval Checklist Excel workbook includes 30 governance approval checks covering: business case, accountability, risk, privacy, security, vendor assessment, legal/compliance, human oversight, testing, agentic AI, monitoring, incident management, change control and production readiness.
The AI Incident & Escalation Procedure Word document includes an Escalation Decision Matrix covering data exposure, autonomous-agent behaviour, cyber incidents, decision errors, bias and reliability failures. Also A one-page-style “If AI Appears Out of Control” quick response sequence.
The AI Governance RACI Matrix contains 35 governance activities covering the full AI lifecycle, with responsibilities assigned across ten key roles.
The workbook uses the standard: R = Responsible | A = Accountable | A/R = Both | C = Consulted | I = Informed.
The main Executive Dashboard provides Board-level KPIs. It is designed to be the management layer above the rest of the Governance Toolkit. Ihe individual tools manage the detail, while this dashboard gives senior executives and the Board the concise view of value, exposure, exceptions and decisions requiring attention.