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For businesses whose AI isn't paying for itself yet

Your AI should be paying
for itself by now.
We make it.

Diagnosis, rescue and delivery for teams whose AI adoption stalled. Working results in weeks — measured in your P&L.

Build
Learn
Fix

Three fixed-price ways in.

One of them fits · Prices in USD · We work worldwide

Trusted by growing businesses.

Our impact in numbers

62+
Projects on-time and on-budget
20+
Years shipping commercial projects for names you know, worldwide
100%
Of the IP owned by you
Man smiling while a robot paints in the background, symbolizing AI partnership
Fig. 1 — The partnership, working

AI didn't fail you.
The delivery did.

MIT studied hundreds of corporate AI deployments and found 95% of pilots show no measurable P&L impact. Not because the technology doesn't work — because of unclear success metrics, poor integration into real workflows, and nobody running it like a proper project. The same research found external specialists succeed at roughly three times the rate of internal builds.

Delivery is what we've done for twenty years — through ERP, cloud, mobile, and every wave where businesses bought the tool and skipped the discipline. The pattern is the same. So is the fix.

Stalled to shipped, in four moves.

01
See what you're really spending

Every licence, pilot and quiet workaround, inventoried and priced. Most clients find five figures of waste in week one.

02
Back the one that pays

One use case, chosen on return rather than hype — with the numbers that prove why.

03
Ship it like a project

Into the live workflow with an owner, a deadline and a success metric. The pilot phase ends here.

04
Prove it in your P&L

Baseline before, dashboard after, ROI in currency every month. If it doesn't pay, we tell you to stop.

AI Shop Illustration
Sound familiar?

The hidden cost of half-adoption

You're already paying for AI. Are you getting paid back?

Unused licences

Industry-wide, roughly two-thirds of paid AI seats go unused. Yours are on the bill either way.

→ How we fix it
The Reality Check prices every idle seat — keep, downgrade, or cancel, in dollars.
The stalled pilot

It demoed well. It never met a customer. It's still quietly costing money.

→ How we fix it
A Recovery Sprint takes it from demo to deployed in 3–6 weeks — or gives it an honest kill verdict.
Shadow AI

Your team already uses AI daily — their way, on their accounts, with your data.

→ How we fix it
We bring it into the open: sanctioned tools, one policy, your data back under your control.
No success metrics

Nobody agreed what 'working' meant, so nothing can ever have worked.

→ How we fix it
Every verdict ships with a baseline and one number that defines 'working' — agreed before we start.
Tool sprawl

Five subscriptions, three of them doing the same job badly.

→ How we fix it
Keep-fix-kill across the lot — the audit is usually funded by the tools you cancel.
Competitors who shipped

The gap isn't who adopted AI. It's who got it into production.

→ How we fix it
Managed delivery gets yours into production — shipped in weeks, ROI reported monthly.

Stalled vs Shipped

The difference isn't the technology. It's whether anyone ran it like a project.

Where you might be now
Stalled
Licences without usage
Paying monthly for tools nobody opens.
Pilots without production
Demos that never touched a real customer.
Spend without measurement
Nobody can say what any of it returned.
→ AI as an expense
Where we get you
Shipped
One working deployment
Wired into the actual workflow.
Adoption tracked
Real people using it, numbers to show it.
ROI reported monthly
Baseline vs now, in currency.
✓ AI as a return
Make the AI you've already paid for pay you back.

Sent here by someone? Most of our clients are. Tell us who — we'll thank them properly.

Claude specialists when we teach. Tool-agnostic when we deliver.
We pick the simplest thing that works — it's rarely the shiniest.