Usage policy, monitoring and enforcement developed together, so the rules are enforceable and the enforcement matches what the rules say.
In most organisations AI adoption did not wait for approval. Documents are being pasted into consumer tools, and nobody can say which ones or by whom.
We write a policy in language your people can act on, then implement the monitoring and controls that make it real. The deliverable is a policy, a control set, and a review cadence.
A usage policy covering permitted tools, data classes, review requirements and accountability, written to be followed.
Visibility into which AI tools are in use, by which teams, against which data.
Technical controls that align with the policy, including access boundaries and approved tooling.
A scheduled review, because the tool landscape moves faster than annual policy cycles.
A 30-minute call, then a survey of what tools staff have already adopted on their own, what they have been feeding into them, and where that exposes risks for your organisation.
What is allowed, what is not, and who arbitrates the middle ground — settled with legal, IT and the affected teams, then set down in language that survives contact with the people it governs.
Access limits and sanctioned software configured so that stated policy and actual system behaviour agree. Returned to on a recurring basis, since what staff can reach shifts without notice.
Back-office processes handed to AI agents that are scoped, supervised and measured.
Your internal systems connected to AI tooling through servers we build and you own.
Identity, email, endpoints, backup and network infrastructure administered to a documented standard.
Bring the situation, not a specification. You leave with a written view of what we would do and in what order.
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