CIO

AI that fits your stack, and your risk register.

You're expected to lead the AI conversation while holding the line on security, integration, and stability. Most vendors make that harder: a platform to rip and replace, an integration project you'll own for a year, or a request to ship your data somewhere you can't see. You don't need another system to govern. You need results that don't add to the risk register.

Bring us your constraints →

No rip-and-replace, no shadow IT

The fastest way to lose your trust is to make your architecture our problem to reshape.

01

No forced migration

We build on the systems you already run. Nothing gets torn out to make room for a platform you didn't ask for.

02

No data leaving your perimeter

Your data stays in the US, Canada, UK, or EU, never outsourced to unregulated markets to save on cost.

03

No untracked tools

What we ship is documented, owned, and visible in a client portal, not another unmanaged app your teams adopted on their own.

Security from Discovery, not bolted on at the end

Governance isn't a phase we tack on before launch. It's a constraint from the first working session.

Compliance

EU AI Act in scope from day one

Where the EU AI Act and your other obligations apply, they shape the design during Discovery, not a scramble before go-live.

Control

Human gates on agent actions

Custom agents run the routine work but stop for approval where the stakes warrant it. Nothing consequential happens without a person in the loop.

Oversight

Gated stages you sign off on

Prototype, MVP, Production, each a checkpoint you approve before it advances. You control the blast radius at every step.

We integrate with what you have and hand back documentation and access, so this never becomes the system nobody but the vendor understands. The scope of that integration depends on your environment.

Someone accountable when something drifts

Under AI Maintained we monitor what we build for a flat monthly fee, so a broken integration surfaces on our side before it hits your users. Under AI Embedded, a fractional AI leader owns it inside your team, with their development team behind them.

Either way, there's a named owner. The thing you can't have is an AI system with nobody responsible for it.

Start with the constraints, not the demo

Tell us your security, integration, and compliance requirements first. We'll show you what we'd build inside them, or tell you it's not the right time.

Bring us your constraints →