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AI governance & security

Decide how AI should be used before it becomes routine.

Staff are already finding ways to use AI for research, writing and everyday tasks. We help you decide which uses are appropriate, what information can be shared and where a person needs to check the result.

Discuss AI use in your organization
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AI policy, risk review and staff guidance
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AI advisory services

Give people a clear set of working rules.

Review AI tools, protect sensitive information and set clear rules for staff use, approvals and human review.

We help you review current AI use, assess proposed tools and identify the data and business processes involved. The work can cover supplier terms, account permissions, connected systems, retention settings and human review of outputs.

From that review, we can help develop an acceptable-use policy, approval process and staff guidance. AI governance should connect to your existing privacy, security and supplier-management work. The scope depends on the tools you use and the decisions they influence.

What we review

Tools, information and responsibility.

We can start with one proposed tool or review AI use across a team.

01 / Understand

Find out where AI is being used

Identify tools, users and business tasks, including services adopted outside the normal purchasing process. Note what information enters each tool and where the output is used.

02 / Protect

Review access and data handling

Examine permissions, connected data sources and vendor settings. Define which information must stay out of a tool and how confidential or personal information will be protected.

03 / Govern

Set approval and review rules

Define permitted uses, prohibited uses, ownership and human review. Consider inaccurate results, harmful instructions in source material and actions an AI-connected tool could take.

04 / Equip

Help staff use the policy

Explain the rules through examples from the team’s work. Give people a way to ask about a new tool, report a concern and check an output before relying on it.

How we begin

Bring a tool, a use case or a concern.

We focus on the decision in front of you and the risks that need to be understood.

01

Review the intended use

Discuss who will use the tool, the information involved and the consequences of an incorrect result or unintended action.

02

Set the controls

Agree on access, data handling, review and approval requirements. Document responsibilities and any reasons to limit or decline a use case.

03

Support adoption and review

Prepare staff guidance and policy updates. Set a review point for changes in the tool, its terms or how your organization uses it.

Let's talk

Which AI tools are your people using?

We can review an existing service, a proposed rollout or the rules your team needs before going further.

Discuss AI governance