AI governance and visibility
As AI use spreads across a team, it becomes harder to see who is using what, where data is going and what it all costs. IBM's 2025 breach research links around one in five breaches to unsanctioned, or 'shadow', AI. We help you put visibility, controls and an audit trail around AI use, so it remains something you can account for.
- See every AI interaction
- Predictable, capped costs
- An audit trail you can show
What you get back is control
Not a ban and not a free-for-all, but a clear view of how AI is used, what it costs, and a record you can stand behind.
- A clear view of which AI tools and accounts are actually in use
- Budgets and limits so spend stops creeping
- A record of who used which model, when, for compliance and peace of mind
Signs AI use has outrun your visibility
Most teams pass a point where AI is everywhere and accounted for nowhere. A few tells:
- You couldn't list which AI tools your team actually uses.
- Work is being pasted into personal ChatGPT or Claude accounts.
- AI is turning up on card statements with no clear owner.
- A client or auditor asks how you handle AI, and you're not sure.
- Different teams have quietly signed up to different tools.
- No one could say what data has gone into which tool.
What bringing AI under control involves
Visibility first, then sensible limits, then a record. Each one lightweight enough for a smaller team.
Shadow AI discovery
We map the AI tools and accounts already in use across your business, including the personal ones, so you know what you're actually dealing with.
Policy and access
Agree which tools and models are approved, who can use what, and how data should be handled, then put it into practice rather than a forgotten document.
Cost and usage visibility
Per-person and per-team budgets, with reporting on usage and tokens, so AI spend is predictable instead of a surprise on the invoice.
Audit and guardrails
A log of every interaction and controls that can strip sensitive data before it reaches a provider, so you have answers when a client or auditor asks.
From sprawl to a clear record
We find what's actually in use, agree the rules in plain terms, then make the approved path the easy one.
Assess
Find the AI tools and accounts in use, where data goes and what it costs today.
Set policy
Agree approved tools, access rules, retention and budgets in plain terms.
Implement
Route approved tools through a gateway, move keys off devices, set quotas and guardrails.
Review
Use the logs and dashboards for regular reviews, adjusting budgets and tools as you go.
One gateway for all your AI
The most effective way to get a grip on AI is to route it through a single gateway that sits between your team's tools and the AI providers. Instead of scattered accounts and keys, you get one place to see, control and account for every interaction. We help you choose the right approach for your setup and get it running.
There are good tools for this, and the right one depends on your size, stack and obligations. We'll talk you through the options once we understand your setup, then help you stand it up.
- Access tied to identity, so provider keys stay off individual devices
- Every request logged with the user, model, time and token count
- Budgets and quotas per person, team or agent to keep spend in check
- Guardrails that can strip sensitive details from prompts before they leave
Common questions
A few of the things organisations tend to ask before getting started.
It's the AI tools your team uses without anyone officially approving or tracking them, usually personal accounts. The risk is that sensitive data leaves the business with no record, costs build up unseen, and you can't answer questions about how AI handled client data.
Related services
Start with a conversation
Book a free, no-obligation call. We'll discuss your business, where AI might help and where it might not, and the most sensible first step.