Services · Make ownership and oversight clear

Practical AI governance

Give teams practical guidance for AI decisions, with clear ownership, review routes, human oversight and escalation alongside your existing specialist functions.

Practical AI governance establishes who can approve AI use, which information and actions are permitted, and when people must review or intervene. Authentia helps teams define workable guidance, decision rights, oversight and escalation. We coordinate the questions with your legal, privacy, security and technical owners, who retain their specialist responsibilities.

Give people a clear way to make AI decisions

As more teams consider AI, they need a shared understanding of what can be used, who can approve it, and what requires closer review. Sponsors need to know which decisions are being made across the organisation and where responsibilities remain unresolved.

Practical governance connects the organisation's principles with the workflows people use. Authentia helps leaders and relevant functions translate those principles into clear guidance, ownership, review routes, and decision records. The work is shaped around the AI uses your organisation is considering or already managing.

Start with actual use cases and owners

We help establish a useful view of proposed and current AI uses: their purpose, intended users, information sources, outputs, actions, and business owners. Understanding the workflow makes it easier for the appropriate specialists to assess the questions that matter.

The review also identifies the people affected by an AI-supported decision and the consequences of a mistake. We help teams agree which proposals need which reviews, what evidence those reviews require, and who can authorise the next step. The review route should fit the intended use and your existing policies.

Translate principles into everyday guidance

Teams need guidance they can apply to a real task. Which tools and information sources have been approved? What should a person check before using an output? When should work be referred to a specialist, and what should happen when an answer is uncertain or inappropriate?

We can help develop working guidance and decision tools with your operational and specialist owners. This can include acceptable-use guidance, role responsibilities, human review points, and escalation arrangements. It should connect with existing procurement, information management, security, privacy, and incident processes.

Make decisions and reviews traceable

A decision record should explain the intended use, the evidence considered, the conditions of approval, and the person responsible for the next review. Assumptions and unresolved questions should remain visible to the people who will rely on the decision.

We help define review points when an AI use changes: a different model or provider, a new information source, broader access, or a more consequential action. The organisation can then decide which changes require fresh evaluation and which can follow an established route. Your responsible teams manage the controls and the evidence they produce.

What the engagement can produce

  • An initial AI-use inventory and practical priorities for further review.
  • A decision-rights map covering proposal ownership, review, approval, and escalation.
  • Acceptable-use guidance linked to defined roles and workflows.
  • Review questions for tools and providers, including information use, oversight, operating responsibilities, and ability to change direction.
  • Human-review and issue-escalation arrangements that connect with existing procedures.
  • Decision-record templates and an agreed cadence for revisiting assumptions and conditions.

Work alongside the functions that own the decisions

Authentia brings structure, facilitation, and business context to this work. Your legal and privacy advisers determine applicable obligations and interpretations. Security and technical owners assess their requirements and implement controls. Business sponsors and governance owners retain approval and accountability for the organisation's AI use.

We help those perspectives meet in a practical process that programme teams can follow. The scope can focus on one initiative or a shared approach across related uses. Our implementation and pilot advisory can support the decisions a particular project needs, while change management helps prepare the people who will apply the guidance in daily work.

Tools for your team

Use a starter kit to frame the next discussion, or explore a fuller working pack.

  • AI Governance Starter Kit — Free. Describe an AI use, clarify information and action boundaries, and prepare a review plan with evidence and accountable owners.
  • Practical AI Governance Pack — Paid. Build connected AI-use records, role-specific guidance, review responsibilities, supplier questions, oversight arrangements and change decisions.

A useful next conversation

Tell us what you are trying to improve, what you have already tried, and where a decision is getting stuck.