AI guidance & governance

Explore AI with confidence.

Make AI useful for your business, with clear rules about information, approvals and accountability. We help your people understand what they can do, where to be careful, and when to ask for help.

Discuss a priority or use case Explore the three options

Clear boundariesKnow which tools, uses and data are appropriate.

Practical safeguardsConnect policies with access and approval workflows.

Human oversightKeep responsibility for consequential decisions clear.

Three ways to engage

Start where
your business is.

Establish the baseline, put policy into operation, or test a specific use case in a controlled environment.

Governance baseline

Clarify ownership and priorities.

A clear picture of the AI tools your team uses and why
Which uses need more care, and who can approve them
Questions to ask before choosing an AI provider
Practical rules for your team to follow
A prioritized plan for the next 90 days

A clear starting pointUnderstand the decisions to make and the work to prioritize.

Policy implementation

Make the rules part of everyday work.

Rules for who can access tools and information
Clear steps for getting approval
Checks and a plan for when something goes wrong
Training suited to each person’s responsibilities
Named people responsible for the work

Rules your team can useTranslate expectations into everyday workflows and responsibilities.

Controlled AI pilot

Test usefulness and safeguards before scaling.

Defined use case, agreed criteria and a controlled environment
Evaluation of practical usefulness
Tests of data boundaries, approval workflows and human oversight
Documented results and limitations
Recommendation on whether and how to proceed

A more informed decisionUse the findings to decide whether and how the application should move forward.

Governance in everyday work

Useful AI starts
with clear decisions.

Your team should know what is allowed, what needs review and when a person must make the call.

Which tools and use cases are approved?
What information may those tools access?
Which actions require human approval?
Who reviews results and responds when something goes wrong?

Experience informing the approach

Grounded in
practical implementation.

Drawing on experience across technology leadership, security and responsible AI adoption.

Responsible AI programs

Established policies, procedures, approved-use boundaries and AI-use monitoring for small businesses.

Private AI environments

Designed and guided a private AI pilot for a consulting firm handling confidential data, without a public model endpoint.

AI connected to business systems

Developed safeguards for limited access, data separation, approved actions, monitoring, human approval and emergency shutdown.

A concise overview

Take the conversation to your team.

Our one-page guide brings together the three engagement options.

Download the overview

Common questions

Practical answers
about AI governance.

Do we need to stop using AI while we develop governance?

The starting point is understanding your current uses, data and risks. That lets us identify which activities need immediate attention and where useful work can continue within defined boundaries.

Can we start with one use case?

Yes. A controlled pilot evaluates a defined use case for practical usefulness and tests its safeguards against agreed criteria. We document the results and limitations, then recommend whether and how to proceed.

Is an AI policy enough?

A policy sets expectations. Implementation connects those expectations with access controls, approvals, training, monitoring and accountable owners.

Does using the NIST framework mean we are certified?

No. Our approach is informed by the framework; that does not constitute a certification. We define the governance work around your business and its actual requirements.

Identify your first governance priority or a use case to test.

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