Enterprise

You don't need another transformation program. You need one system that ships.

Every enterprise AI vendor sells the same three-year program: a steering committee, a platform license, and a rip-and-replace roadmap that ages faster than it delivers. The integration work, the part that actually decides whether any of it works, gets scheduled for phase four.

We start at phase four.

Scope a first system →

It's rarely the model

It's almost always everything around the model.

01

Integration friction

Systems that don't talk to each other, and an integration backlog that turns a six-week build into a six-quarter negotiation.

02

Governance bolted on last

Security and compliance reviewed at the end, when changing anything costs the most, and the EU AI Act is now part of that review.

03

Change fatigue

Teams that have survived three failed rollouts and won't trust a fourth until they see something that actually works.

04

Scale funded before proof

Programs paid to run across every site before a single site has shown the thing works at all.

Done-for-you, with your security team in the room

Not a finished system handed to governance for sign-off. Your security and compliance people are in Discovery from day one.

Prove

One system, one gate at a time

Seven gated stages, each earning the next. You never fund scale that a prototype hasn't already justified.

Integrate

Wired into the stack you have

We build across your existing systems, ERP, CRM, data warehouse, the internal tools nobody documented, instead of asking you to replace them.

Govern

Security and the EU AI Act, from day one

Data stays in the US, Canada, UK, or EU, never outsourced to unregulated markets. Governance is designed in at Discovery, not added before launch.

Scale what worked, retire what didn't

Once a system proves itself at one site or in one function, the same team scales it, and kills the parts that looked good in the proposal but didn't hold up in production.

For the ongoing work, a fractional AI leader can embed in your organization, with their development team behind them, so the roadmap has an owner who reports to you.

Most enterprise AI budgets get spent proving a vendor wrong. Our model is structured so the funding stops the moment a stage fails to earn the next one.

Start with one system, not a program

Bring us the integration everyone's been avoiding. You'll get a price, a timeline, and a straight answer on whether it's the right place to start.

Scope a first system →