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Purpose-built agents inside your stack, not another chatbot.

Agents that actually do work: internal tooling, customer-facing automation, clinical workflows. Built with guardrails, evaluated, monitored.

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Service
Infrastructure
6-8 wk
To first agent in production
Every action
Audit-logged with provenance
Day 1
Eval framework wired
Kill switch
On every agent, on every flow
Overview

Why this engagement exists.

The wave of "AI agent" demos hides a gap: most never make it past the demo. Production agents need guardrails, evals, audit logs, fallbacks, and kill switches, not just a clever prompt. We build agents the way you'd build any production system: scoped, instrumented, evaluated, and monitored.

What you get

Deliverables, not promises.

Every engagement ships these artefacts. Nothing here is fluff. Each item is something your team will hold in their hands at the end.

Agent architecture + scope

What the agent does, what it must not do, where it sits in the workflow.

Tool integrations

Wiring into your APIs, databases, queues, and external systems with proper auth.

Guardrails + safety policy

Input/output filters, content policy, sandbox boundaries, human approval gates.

Eval suite

Precision, recall, drift detection: offline regression + live shadow evaluation.

Observability + audit

Every action logged with full provenance. Dashboards for usage, cost, accuracy.

Deployment + handover

Shadow-mode validation, staged rollout, runbook, on-call handover.

How we work

The process, step by step.

No mystery, no consultant theatre. This is how the work actually flows from kickoff to handover.

  1. Step 1

    Map the workflow

    What does success look like? What do humans currently do? Where is the agent slotting in?

  2. Step 2

    Architecture choices

    Which model, which tools, which boundaries. Cost and latency budgets defined upfront.

  3. Step 3

    Build + eval

    Implementation alongside the eval suite. The agent must score above bar before it ships.

  4. Step 4

    Shadow mode

    Runs in production traffic without acting. Compare to the baseline. Tune the prompt + tools.

  5. Step 5

    Roll out with kill switch

    Staged rollout, monitoring, on-call rotation. Kill switch from day one.

Our clinical agents include ambient scribes (note generation from real conversations), document processors (PHI-aware extraction), and workflow agents inside EHR systems. All ship with eval suites and human-in-the-loop approval gates.

Document Intelligence case study
FAQ

The questions that actually come up.

Internal workflow agents (ticket triage, code review, doc generation), customer-facing assistants, document processors (PHI-aware extraction), and clinical scribes / note generators.

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A 30-minute call. We map your situation against the engagement, give you a real estimate, and tell you honestly whether we are the right team for this.

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