AI Governance Framework Development
Build the governance infrastructure your AI systems need before your regulators require it
AI governance is not a one-time project. Without documented policies, clear accountability, and a structured process for assessing AI risks, organisations are exposed — to regulators, auditors, and their own boards. We design frameworks that are practical enough to implement and rigorous enough to hold up under scrutiny.
The problem we solve
Most organisations adopting AI have no documented policy governing its use, no clear accountability for AI decisions, and no process for assessing or monitoring AI risks. This creates regulatory exposure, operational risk, and reputational vulnerability — particularly in regulated industries where AI decisions affect customers, employees, or public services.
Without a governance framework, even well-intentioned AI deployment can result in audit findings, regulatory enquiries, or incidents that are difficult to explain to a board or regulator.
How it works
Step 1: Current state assessment
We begin with stakeholder interviews and a review of existing policies, AI tools in use, and current governance practices. This establishes where you are and identifies the most critical gaps to address first.
Step 2: Framework design
We design a complete AI governance framework tailored to your industry, regulatory context, and organisational structure. This covers acceptable use policies, risk appetite statements, role definitions, escalation procedures, controls design, and model change management processes.
Step 3: Implementation roadmap
We produce a phased implementation plan that sequences governance activities by priority, assigns ownership, and sets realistic timelines. We don’t hand you a document and disappear — we walk through the framework with your key stakeholders.
Step 4: Handover and monitoring
Your team receives a complete documentation package. Clients who want ongoing assurance can move directly into our Compliance Monitoring service to maintain governance as their AI systems evolve.
Who this is for
Mid-market companies building or scaling AI capabilities
Regulated organisations that need governance infrastructure before audit or regulatory review
Boards and leadership teams that need defensible evidence of responsible AI governance
Organisations that have completed an AI risk assessment and need to act on the findings
Frequenly asked questions
How long does framework development take?
Typically 4–8 weeks for a mid-market organisation, depending on the number of AI systems, organisational complexity, and the regulatory frameworks that apply.
Do we need to pause AI development while governance is being built?
No. We design governance to run in parallel with active development — the framework integrates into your existing processes rather than stopping them.
Is this only relevant if we are subject to the EU AI Act?
No. Even for organisations outside EU jurisdiction, a governance framework protects against operational risk, audit findings, and reputational exposure. The NIST AI RMF and ISO 42001 are relevant globally.
What does the deliverable actually look like?
A complete documentation package: AI governance policy, role definitions, controls library, risk appetite statement, escalation and incident response procedures, and a phased implementation plan. Delivered as a structured Word/PDF package, with a stakeholder workshop to walk through it.
Can you update an existing framework we already have?
Yes. If you have existing policies or governance documents, we will review them against current regulatory requirements and produce targeted updates rather than rebuilding from scratch.
Ready to build your AI governance framework?
Most organisations wait until a regulatory event forces the issue. The ones that get ahead build governance before that moment arrives. Book a discovery call and we will scope a framework that fits your organisation, your sector, and your timeline.
