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AI Responsibility Officer
AI is already in your business. Give someone responsibility for using it well.
We act as your AI Responsibility Officer: finding where AI is being used, helping your team put it to work, and setting clear decisions about tools, data and human review. You get the benefit of faster work without leaving adoption to chance.
One person accountable for AI in the business
When everyone can try AI, nobody necessarily owns the result. Useful experiments stay isolated. Teams buy overlapping tools. Sensitive information can end up in the wrong place. Managers are left unsure which outputs they can rely on.
We give AI adoption an owner. We work with your leadership team to decide what is worth doing, who can approve it and how it will be checked. Your people can move quickly within clear boundaries.
What the AI Responsibility Officer does
- Find the real use: speak to teams, identify the tools and workarounds already in use, and keep what is producing value.
- Set practical rules: agree which tools and uses are approved, what data may be used, and when a person must review the output.
- Make ownership clear: assign a business owner to each use case and a decision-maker for exceptions, suppliers and changes.
- Check the commercial detail: review relevant supplier and customer terms with your legal advisers, including how information is handled and what can be delivered using AI.
- Put useful work into practice: help teams improve drafting, research, document handling and routine processes, then measure time saved and quality gained.
- Keep it current: review usage, incidents, costs and new opportunities as the tools and your business change.
Human judgement stays where it matters
AI can draft a first response or summarise a document. It should not quietly become the final authority on a contract, a financial commitment, a hiring decision or a safety-critical instruction. We define where review and sign-off are needed, who does them and what evidence they need. The level of control follows the consequence of getting it wrong.
How we start
- Map: establish what people use now, what it costs and where the risks and opportunities sit.
- Decide: agree a short list of worthwhile uses, approved tools, red lines and review points.
- Deliver: work with the teams that will use AI, set up the first workflows and show them how to use the tools well.
- Own: keep the register, decisions and improvements moving as an ongoing service, for the time your business needs.
We agree the scope, responsibilities and fee with you. This can start as a focused piece of work and continue as ongoing leadership where that is useful.
How this fits with AI strategy
An AI readiness assessment identifies where to invest and what needs to change. The AI Responsibility Officer owns adoption in the business after that decision, or steps in when people are already using AI and need direction now.
Talk to us about AI ownership
Tell us what your teams are already doing and where you want AI to make a difference. We will suggest a practical first step.