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Home/Build + Implement/AI Governance

AI Governance — say "yes, and here is how."

Without an agreed, high-standard way to govern and secure solutions, even light-touch AI stalls at stakeholder level. We grade every use case before production and run two clear reviews — a security review and a compliance review — that approve AI rather than block it.

EU AI ActISO 27001 / 42001Built in, not bolted on
The grading frameworkSecurity reviewCompliance review
The grading framework

Grade on two axes, then apply the controls.

We grade each use case on agency (how autonomously it acts) against data sensitivity. The grade dictates exactly which controls apply — joining data governance to security operations, so approvals become fast and repeatable instead of bespoke and slow.

It was sharpened in highly regulated industries and fintech, and maps to the standards that matter.

Agency ↓ / Data → Low Med High
Fully autonomous Enhanced Strict Maximum
Acts with approval Standard Enhanced Strict
Drafts & suggests Light Standard Enhanced
Read-only / public Minimal Light Standard
Security review

Three checks before real data goes in.

Most AI-built apps end up exposed to the public internet through a login page. None of these checks is heavy — and together they are the difference between a prototype and something you can trust with real data.

01

Authentication review

Who can log in, how, and what each role sees. SSO via Microsoft Entra or Google Workspace does the heavy lifting when configured correctly.

02

Front-end pen test

A focused review of the public surface for common vulnerabilities. Often a half-day of work for real assurance.

03

Code review by a 2nd agent

Ideally with repo access — catches hardcoded keys, weak input validation, exposed endpoints. The same agentic tools that wrote the code can review it.

Secure by design

Models are locked down so they never train on your data, permissioned to the right people, tied into your identity and Microsoft 365, and rolled into a security operation that monitors what is used and shared. Security is part of how we build, not a final-stage checkbox.

Compliance review

A risk-based regime, phasing in through 2027.

The EU AI Act came into force on 2 August 2024 with phased application. Most SMB uses — drafting, summarising, internal tools — fall well below the "high-risk" threshold and trigger limited obligations beyond basic transparency.

February 2025

Unacceptable-risk bans & AI literacy

Bans on "unacceptable risk" systems take effect; AI literacy obligations begin.

August 2025

General-purpose AI rules

Rules for general-purpose AI models, governance and penalties take effect.

August 2026

The bulk becomes applicable

Most of the Act becomes fully applicable, including high-risk system requirements.

August 2027

Embedded systems

Final tranche covers AI embedded in regulated products.

High-risk uses carry real weight

Credit scoring, employment screening, critical infrastructure, medical decisions and biometric ID carry serious requirements and penalties up to €35m or 7% of global annual turnover. If your use is genuinely lower-risk — and most is — your burden is manageable.

ISO/IEC 42001

What ISO 27001 is to information security, 42001 is to AI: a certifiable framework resting on five pillars — transparency, accountability, human oversight, data governance and continual improvement — mapping cleanly onto the EU AI Act.

Formal certification is overkill for most SMBs. What matters: someone owns the AI inventory, decisions are documented, customer-data flows are mapped, and a human is in the loop for anything consequential.

Drift

The agent expanding its remit beyond what was intended. The EU AI Act explicitly requires drift tracking for higher-risk autonomous systems.

Auditability

Reconstruct what the agent did and why. Log every consequential action, hard guardrails, human approval on material decisions.

Our governing principle

Governance fears are the single most common reason organisations delay starting at all. The answer is not to build governance before you build anything — it is to build governance in step with what you are doing. An AI inventory once you have more than one tool live; a human-in-the-loop policy at first agentic deployment; formal frameworks when scale or sector demands.

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Make AI something your auditors say yes to.

We will grade your priority use cases, run the security and compliance reviews, and give you a repeatable framework mapped to the EU AI Act and ISO 42001.

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