Services · AI Governance & Responsible AI

AI Governance & Responsible AI

Adopt AI with clear accountability and controls the board understands.

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Why it matters

AI tools are being adopted across financial services, often faster than governance can keep up. Boards need to know where AI is used, what risks it introduces and who is accountable. We help leaders put proportionate governance in place so AI supports the business without creating unmanaged exposure.

Questions this engagement answers

  1. 01Where is AI being used across the organisation, including by staff informally?
  2. 02What data are we sharing with AI tools and providers?
  3. 03Who is accountable when an AI-supported decision goes wrong?
  4. 04How does AI risk fit within our existing risk framework?

What the engagement can include

AI inventory

Identify where AI is used, by whom and with what data.

Governance framework

Policies, roles, approval routes and risk assessment proportionate to your use of AI.

Security & data risk

Assess data leakage, supplier, model and security risks introduced by AI tools.

Board briefing

Help directors understand AI risk and set appropriate oversight.

How we work

  1. 1

    Discover

    Understand current and planned AI use, including informal use by staff.

  2. 2

    Assess

    Identify the risks that matter for your data, customers and regulation.

  3. 3

    Govern

    Put proportionate policies, roles and controls in place.

  4. 4

    Oversee

    Build reporting so the board can monitor AI risk over time.

What you receive

  • AI usage inventory and risk overview
  • AI governance policy and accountability model
  • Risk assessment approach for new AI uses
  • Board briefing and reporting recommendations

Illustrative scenario

Helpful tools, unknown data flows

Staff across several teams start using public AI tools to summarise documents and draft correspondence. Nobody has assessed what client data is being entered or where it is stored. A short discovery exercise, a clear usage policy and approved alternatives reduce the risk quickly without stopping useful work.

Buck's view

“AI governance does not need to start from scratch. Most organisations can extend existing risk, data and supplier controls, provided someone is clearly accountable for doing it.”

Professor Buck Rogers, Poro Advisory

Related services

Discuss AI governance with Buck.

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