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Software Services · Technology, AI & Digital Transformation

AI Governance

Set clear rules for how AI is used in your organisation, and be able to show they are followed

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What it is

AI Governance

We help boards and management teams put governance around AI. Our work covers an inventory of AI use, risk assessment, policy and approval processes, model validation, and reporting, drawing on recognised frameworks such as the NIST AI Risk Management Framework. The aim is to enable useful AI projects while managing accuracy, bias, privacy, intellectual property, and regulatory risk.

Typical duration
4 to 8 weeks for a first governance framework

The business problem

Why clients need this

AI tools are spreading across the business faster than policies can keep up. Leaders are asked by customers, insurers, and regulators how AI is controlled, and often do not have a ready answer.

  1. 01

    There is no complete list of where AI is being used, including tools adopted by individual teams.

  2. 02

    Accuracy, bias, and data privacy are not checked in a consistent way before AI is used in decisions.

  3. 03

    Responsibility for AI risk is unclear, and boards receive little information about it.

Our approach

How we deliver it

  1. 1

    AI Inventory & Risk Triage

    Listing current and planned AI uses and sorting them by risk, so effort goes where it matters most.

  2. 2

    Policy & Roles

    Drafting practical policies, approval steps, and clear ownership, matched to your size and sector.

  3. 3

    Validation & Controls

    Testing selected models for accuracy, bias, and robustness, and defining controls for data, access, and human review.

  4. 4

    Reporting & Review

    Setting up regular reporting to management and the board, and a schedule for reviewing controls.

Data & AI

How technology strengthens this service

A central register records each AI use, its owner, data sources, test results, and review dates, so questions from customers or auditors can be answered quickly and consistently.

How we use AI across our work

Typical deliverables

What you receive

  • AI inventory and risk classification
  • AI policy, approval process, and roles
  • Validation results for priority models
  • Board reporting template and review schedule

Outcomes

What changes for you

  • A clear, documented position on how AI is managed
  • Faster, safer approval of useful AI projects
  • Better answers for customers, insurers, and regulators

Who it is for

  • Boards and executive teams
  • Risk, legal, and compliance leaders
  • Technology and data leaders
  • Regulated and asset-heavy businesses

FAQs

Common questions

Is this legal advice?+

No. We provide governance and risk consulting. Your legal counsel should advise on laws and regulations that apply to your business.

Which frameworks do you use?+

We draw on recognised frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001, and adapt them to your needs.

Will governance slow down our AI projects?+

Done well, it speeds them up. Clear rules and a simple approval path remove uncertainty for the teams building and using AI.

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