How we work
Two weeks to proven accuracy. Five to production.
In two weeks we agree the process worth starting on and build a working agent against your own history. By week five, agents are live in your own environment.
Every engagement starts ahead of zero. We arrive with the platform already built, and an opinionated view of how this work goes.
Low risk to start and easy to stop. Each phase is scoped small enough to walk away from.
Each phase is scoped to earn the next, and funded by what the last one proved.
Three phases, and each one earns the next.
Not a platform rollout. We pick a single workflow, agree what fixing it is worth, and prove it in thirty days.
Before day one. Choose one process and one or two cases that repeat. Name the expert who owns the decision today, and agree what solving it is worth. Open access to the records that decision depends on.
Scope it, then prove it.
We agree the one process worth starting on and what solving it is worth, then build a working agent on a subset of your data and replay it against cases where the answer is already known. A prototype, not production. Our ask in return is a referenceable case study.
You getA baseline, and a prototype proven against your own history.
Run it live, then put it in production.
The platform is deployed into your own environment. The agent works new cases as they arrive while your expert confirms each one, and on a go it moves into production. We measure adoption rather than deployment.
You getAgents live in your environment.
Run it, scale it, repeat it.
Agents move to a managed service level for uptime, accuracy and drift. Forward-deployed engineers keep building in rolling sprints, carrying proven patterns from one process to the next.
You getA supported, compounding estate.
What we bring
The platform, the agent, and the engineers who deploy it.
What you bring
Access to the records, an expert a few hours a week, and the environment it runs in.
How we measure it
- Right answer found, on history and live
- Time from trigger to confirmed answer
- Units saved per event
- Annual value of the outcome
- Your expert's verdict
Why your deployment knows how you work.
Five layers. The first one is people, and it is the reason the other four fit your operation rather than a generic one.
Forward-deployed engineering
Every operation runs differently. We deploy engineers directly with your team to understand your workflows and your realities, then build for how you actually work, from day one.
Clean data
The hardest part of every engagement is the same, and it is that the data is a mess. We structure your records first, because nothing above this layer works without it.
Causal linkage
First-principles models that connect what happened to why. This is the layer most vendors skip, and skipping it is why their agents recover from failures instead of preventing them.
Reason and act
Agents do the heavy lifting, against your rules and your procedures. A human stays in the loop by design.
Governance
Inside your own environment, under your identity and access controls, fully auditable, with nothing retained outside it. Part of the product, not something added at the end to survive a security review.