Solutions · Enterprise
Your people are already using AI. Governance has to catch up.
In larger organisations the question isn't whether to adopt AI, it's how to do it without inconsistency, shadow tools and compliance exposure. That takes a governed source of truth, a policy people follow, and capability built team by team.
The pattern
What AI adoption looks like at scale, unmanaged.
Shadow AI everywhere
Staff are already pasting company information into public tools, with no policy on what's allowed and no consistency in what comes back.
Every division a different answer
Policies, precedents and standards exist, in six systems and four formats. Which version is current depends on who you ask.
Change fatigue is real
Teams have been through transformation before. Rolling out AI without bringing people along produces quiet resistance, not productivity.
The move
Govern the knowledge, then scale the capability.
We work department by department: a governed repository as the single reference point, an AI policy with teeth, and workshops that bring leaders and teams through the change, including in regulated sectors.
Where we start
- Discovery across divisions: systems, standards, exposure
- A governed source of truth with ownership and review rhythms
- An AI policy built around your regulatory obligations
- Leadership sessions on trust and change
- Capability workshops rolled out team by team
What changes
- AI use that's sanctioned, consistent and auditable
- One current version of every policy and standard
- Output that carries the organisation's voice and rules
- Adoption with buy-in, not quiet workarounds
- Capability that stays vendor-neutral: Claude, Copilot, ChatGPT or otherwise
Regulated sector? Our workshops include sessions designed around financial services, legal, health and education obligations.
Next step
Start with one division.
Prove the model where the pain is loudest, then scale what works. The discovery call is free; the audit starts at $499.