Who it's for
This service is designed for organizations that want useful AI adoption without issuing a policy nobody can apply. It works for teams already using AI informally and for leaders preparing a controlled rollout.
- Owners who need to know where staff already use AI and which use cases create real value
- Managers introducing Copilot, ChatGPT, Gemini or purpose-built agents across a team
- Organizations handling customer, employee, financial or commercially sensitive information
What we do
Governance should make good work easier. We inventory current and proposed uses, classify them by impact and define proportionate controls. A drafting assistant needs different oversight from an agent that updates records or influences a customer decision.
Training uses examples from your business. Staff learn how to frame a task, protect information, check evidence, recognize weak output and escalate the cases AI should not decide. Managers learn how to select use cases, measure value and maintain accountability when an agent performs part of the work.
How we work
- Discover use and risk — We interview key roles, inventory tools and use cases, and identify data or decisions that need stronger control.
- Set practical rules — We define approved tools, prohibited data, review expectations, ownership and incident handling.
- Build the checks — We create representative tests and quality thresholds for important assistants or agents.
- Train by role — We run focused sessions using real work, then leave reusable exercises, examples and manager guidance.
What you get
- AI use-case register — What is in use, the business owner, data involved, value expected and risk level
- Acceptable-use standard — Plain-language rules staff can follow, with approval and escalation paths
- Evaluation plan — Test cases, quality measures and release criteria for important AI workflows
- Role-based workshops — Practical training for staff, managers and technical owners
- Adoption roadmap — Prioritized next steps based on value, readiness and risk rather than tool hype
Governance that scales with the risk
We do not apply the same ceremony to every prompt. Low-risk research and drafting can use lightweight guidance. Systems that touch customer records, contractual commitments, payments, employment or access require stronger evidence, permissions and human approval. That keeps controls credible and directs effort to the places where mistakes matter.
For a working implementation, governance connects directly to AI automation, AI agents and AI knowledge systems. The rules, training and evaluation set travel with the system from pilot into operation.