done&works
operating a production system

Most AI projects never leave the demo.

We build the ones that reach production — in places where you don't get to ship it and see what happens. Fixed scope, a named outcome, and a system your team can run after we're gone.

13%
reach production
45%
avg budget overrun
30yr
unchanged failure rate
4
industries behind us
AI proofs of concept 13%
All software projects 31%

Share that reaches production. Capgemini; Standish. The second number has barely moved in thirty years.

The actual problem

Thirteen of every hundred survive.

The rest get built, demoed, admired, and quietly abandoned. Not because the models were wrong — because nobody specified the outcome before the build started, and nobody could operate the result after it shipped.

AI didn't cause this and AI won't fix it. Which is why we sell a method rather than a model.

What we do that others don't

Your team stopped seeing it a long time ago.

After ten thousand repetitions a workflow becomes invisible. That isn't a criticism — it's what expertise does to everyone, and the people closest to the work are the least able to see the shape of it.

We arrive from somewhere else. Trading floors, where delay is counted in milliseconds and money. Regulated healthcare, where nothing moves without evidence. Industrial manufacturing, where the constraint is physical and nobody argues with it. And a consumer product of our own — designed, manufactured, branded, ten thousand units sold. Four industries with completely different tolerances for risk and speed, which means we have already watched four different answers to the problem that looks unique to you.

Spotting the opportunity and building it are two different skills, and almost nobody has both. Strategy people see it and can't ship. Engineers ship what they're handed and never question the target. The gap between those two is where most projects quietly die.

Ask us to find something in your operation before you've paid us anything. That's the whole pitch, and it takes about ninety minutes.

Method

Five gates. Every build clears all five.

The failure mode isn't technical, it's procedural.

01

The constraint is named

We walk your operation front to back and find what's actually limiting it, not the loudest annoyance. Sometimes the answer isn't AI — and we'll say so.

02

The outcome is specified

Which metric, what it reads today, what it should read in sixty days. If those blanks can't be filled, there's no project yet.

03

Every change is reviewed

Reviewed by an independent engine before it lands — never the one that wrote it. Whoever writes a section doesn't approve it.

04

The evidence is attached

Positive and negative paths both tested, run output included. "It works" is not a status.

05

The handoff is engineered

You get the system and an agent that teaches it — your team, your new hires, and where it fits, your customers.

Case study — our own product

Vectario

A front desk that answers the phone. It picks up a real inbound line, works out who's calling, books and reschedules against a live calendar, texts the confirmation, and hands off to a human the moment it should. Real callers, real records, every day.

We built it, we run it, and we carry the pager when it breaks at seven in the morning. That's why it's on this page instead of a client logo — almost no consultancy operates the thing it sells the ability to build, and operating it is where you learn what the demo never tells you.

Built under the constraints regulated buyers live with: each organization's credentials and data isolated with no shared fallback, personal details kept out of logs and error messages, call outcomes derived from structured data rather than guessed from a transcript, and a hard latency budget on every turn — because a caller hears two seconds of silence as a dropped call.

Handles
Inbound voice, SMS confirmations, operator dashboard, live handoff to a person
ElevenLabs
Conversational voice AI. Generates speech and manages turn-taking fast enough that the caller experiences a conversation, not a phone menu.
Twilio
The telephone and messaging layer. Carries the actual call over the public phone network and delivers the texts.
.NET on Azure
Application, background workers, and data. Service Bus queues make every retry safe to repeat.
Status
Live in production, taking calls

Engagements

Four ways to start. Every one has an end date.

No open retainers, no hourly billing. Remote by default, meetings named in the proposal, answers within a business day.

Sessions

$500 / $2,500

Ninety minutes with up to four people, or half a day with up to ten on your actual work. Credited in full toward an audit.

Constraint audit

$3,000–7,000

A written finding of where the real constraint sits, and a proposal with metric, baseline, and sixty-day target already filled in.

Build & handoff

$15,000–40,000

One system through all five gates, plus the agent that onboards your team onto it. Priced against what the manual version costs you.

Standing advisory

$3,500–10,000/mo

Scheduled architecture and specification review for teams building their own. Senior review, not incident response.

Start here

Tell us what's stuck.

A short conversation, no deck. If there isn't a real constraint worth paying to fix, we'll tell you that on the call.

Book a conversation →