Map
We map the work with the people who do it.
We follow one live workflow through its systems, exceptions and controls. The first specification comes from the work itself, not a workshop or sample process.
One workflow. All the way to production.
Esya puts senior AI engineers inside your business. We call it forward deployed engineering, which means exactly that: we work in your office and your repo, not from an agency across town. We pick one workflow that matters, build AI into it against your real systems, and stay until it runs in production.
AI put into production under controls. Engineering partner from seed to a US$35m valuation by 2022.
Most AI projects die as demos.
The pattern is familiar. A pilot gets built by people who never sat with the team that does the work. It looks right in a demo against sample data, then meets the real systems, the real exceptions and the real regulator, and quietly stops. The gap is not the model. The gap is the distance between the people building and the work itself.
We close that distance by removing it. Our engineer joins your team, watches how the work actually moves, and builds where the work happens.
The engagement, in four steps.
The same room, four moments. The person on your first call owns what ships. We map one real workflow with your team, build it in your repo, prove it in production and leave it in your hands.
Build
We build in your repo, against your real systems.
We turn one workflow into working software beside the people who run it. We keep what works and integrate only what the workflow needs.
Ship
We ship the system with the proof.
The deployment includes its evals, controls and runbook. Your operators can see what ran, what passed and what needs attention.
Run
Your team runs it. We leave.
Your repo, your IP and your operating record were yours from day one. The working system and the capability to run it stay with your team.
One workflow at a time, in any sector.
The claim is deliberately narrow. Not a transformation programme: one workflow, taken all the way. Recent shapes of that work: payments reconciliation in finance operations, lease abstraction for property teams, patient scheduling in clinics, claims triage for insurers, matter intake inside law firms. Any SME to enterprise; the sector matters less than the workflow.
What you keep.
- Your repo and your IP. Everything is written in your repositories, under your ownership, from day one.
- Evals and a runbook. Every deployment lands with the test harness that proves it and the guide to operate it.
- Your regulatory surface, respected. Your cloud, your data boundary, your model agreements. We do not ask you to migrate anything.
- A team that learned by watching. Your people work beside ours the whole way, so the capability stays when we leave.
Bring us the workflow that hurts.
One call. The person you speak to is the person who would build it. We’ll come back with a build plan, not a proposal.