AI Governance & Policy
Build the policies, processes, and oversight structures that let your organisation deploy AI confidently and responsibly.
AI without governance is a liability. As organisations scale their use of AI — from internal productivity tools to customer-facing systems — the risks multiply: data misuse, biased outputs, regulatory non-compliance, reputational damage. Governance is how you manage those risks without killing innovation. We help organisations build practical AI governance frameworks that actually get adopted. That means clear acceptable use policies that staff can understand, risk classification schemes that guide decision-making, approval workflows that do not bottleneck delivery, and monitoring structures that keep leadership informed. This is not about creating bureaucracy. Good governance accelerates AI adoption by giving teams confidence to move forward, giving leadership visibility into what is being deployed, and giving regulators evidence that you are acting responsibly. We tailor every framework to your organisation's size, sector, risk appetite, and regulatory environment.
Use Cases
What this looks like in practice
AI Acceptable Use Policy
Define clear rules for how employees can and cannot use AI tools — covering data handling, content generation, decision-making, and third-party tools like ChatGPT.
AI Ethics Framework
Establish principles and practical guidelines for ethical AI use, covering fairness, transparency, accountability, and human oversight.
Risk Classification & Tiering
Build a risk classification system that categorises AI use cases by impact level, triggering appropriate levels of review, testing, and oversight.
Governance Board Setup
Design and establish an AI governance committee with clear terms of reference, membership, meeting cadence, and escalation procedures.
Vendor & Third-Party AI Policy
Create policies governing the procurement and use of third-party AI tools and services, including data sharing agreements and due diligence requirements.
AI Register & Inventory
Implement a central register of all AI systems in use across the organisation, with details on purpose, data inputs, risk level, and responsible owner.
Technology
Tools we work with
How It Works
Our approach
Current State Review
Audit existing policies, AI usage, and governance structures to understand the starting point
Risk & Regulatory Mapping
Identify applicable regulations, industry standards, and risk areas specific to your sector
Framework Design
Draft policies, classification schemes, approval workflows, and oversight structures
Stakeholder Alignment
Review with legal, compliance, IT, and business leadership to ensure buy-in and practicality
Rollout & Embedding
Finalise documentation, deliver training materials, and support initial adoption
Starting from
£15K
Timeline
2-4 weeks
Ready to get started?
Book a free strategy call and we'll assess whether this service is the right fit for your business.