AI Agent Development
The difference between an agent that ships and a demo that impresses is the boring half: evaluation harnesses, escalation paths and knowing what the agent must never do.
The problem
Pilots fail at evaluation, not at capability
Teams prove an agent can handle a happy path, then discover they have no way to measure regression, no escalation design, and no agreed definition of an unacceptable answer.
We build the evaluation set before the agent, which means every change afterwards has a number attached and the rollback decision is never a debate.
What you actually get
Every engagement ships these. No line items you cannot point at.
Production agent
Retrieval, tools and guardrails wired into your real systems, not a sandbox with a chat box.
Evaluation harness
A scored test set written before the build, run on every change, with regression gates in deployment.
Escalation design
Clear handoff to a human with full context, and explicit refusal behaviour on anything out of scope.
Observability
Transcript review, containment and satisfaction tracked from day one, with a weekly failure readout.
Typical outcomes
0%
Median containment on support workloads
−0%
First-response time on contained conversations
0 weeks
Median build to production, with evals in place
How we run it, week by week
Scope and evals
What it handles, what it refuses, and the scored test set that defines acceptable.
Build
Retrieval and tool integration against your systems, with guardrails tested against adversarial cases.
Shadow mode
The agent drafts, humans send. We measure agreement rate before it gets the keys.
Managed evaluation
Weekly transcript review and eval runs, because model updates change behaviour without asking you.
Stack we work in
Platform-agnostic. We work in whatever you already own and tell you honestly when it is the constraint.
Questions buyers ask us
Scope refusal, retrieval grounded in your own documents, an adversarial test set in the eval harness, and a human escalation path for everything it is not confident about.