An AI implementation partner for the rollout, not the pilot
Most organisations can produce a pilot. The crossing to production is where projects die, and it is mostly operational: shadow mode against live traffic, rollout by case category rather than percentage, and deciding who owns the thing once it is running.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Shadow mode
The agent runs on every real case in parallel with your team and acts on none of it. Four weeks of this decides the deployment.
Staged rollout
By case category, starting where mistakes are cheap and reversible, so a problem closes one category rather than the whole thing.
Escalation design
What gets handed back, how fast, and what the human receives. Handoff quality decides sentiment more than the AI does.
Operating model
Named business and technical owners, the weekly metrics, and the monthly output sample. Without these, quality degrades unnoticed.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Why do pilots fail to become deployments?
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Usually the pilot ran on curated data, so accuracy collapses on the real queue and trust goes with it. Sometimes the security review was left to the end. Occasionally nobody was ever going to own it after go-live.
How long does a rollout take?
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About seven weeks from a working agent: four in shadow mode, three staging out by category. Compressing it mostly moves the risk rather than removing it.
What about the people whose work changes?
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Plan for it explicitly and tell them early. Teams that believe an agent exists to eliminate them find its failures and report them enthusiastically. Same failures, opposite outcome, depending on what people were told.
Do you stay after go-live?
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Usually for a period, then hand over. The monitoring cadence is about three hours a month per agent across two people, and it needs to belong to someone permanent.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.