A bespoke agent is a system designed around your business.
Not a Copilot wrapper with your logo.
When AI tooling that earns its keep doesn't exist off the shelf, we build it. Senior engineering, governance built in, evaluation harness from day one.
Speak to a consultantWhere a bespoke agent earns its keep
Four sector-specific examples. Each is anonymised; each is real.
Matter-intake agents that interview clients in plain English, capture conflicts data, and route to the right partner with a structured brief.
Clinical-decision-support agents wired into PAS/EPR data with audit trails by design. The clinician is always in the loop; the agent surfaces options.
Compliance-monitoring agents that watch transaction streams and route anomalies to named reviewers — with the reasoning trail attached.
Proposal-drafting agents that pull from your past wins, current capacity, and pricing logic to draft 80% of a proposal in minutes.
How we build them
Six steps. Discovery before code. Evaluation before deployment.
Discovery interview
What work does the agent actually do? What's the human in the loop? What's the cost of a wrong answer?
Task and tool mapping
What tools does the agent need access to? What data? What guardrails?
Guardrail design
Before we write the first line of agent code. What must the agent never do? What requires human approval?
Build sprint
Two-week iteration cycles. Working agent at the end of each, even if narrow.
Evaluation harness
A test suite the agent runs against. Regression tests for every edge case we find. Quality measurable, not vibes.
Ongoing operations
Monitoring, model updates, scope expansion. We don't ship-and-leave.
What governance gets right
Bespoke agents are sold to firms where "we'll figure compliance out later" isn't a defensible answer. Three pillars.
Data residency
We design where data flows from the start. No accidental egress to model providers; no surprise data crossings.
Model selection criteria
Licence terms, training-data provenance, evaluation rigour. We choose models for sustainability, not press-release excitement.
Audit trail design
Every agent decision logged with reasoning, inputs, and outputs. Audit trail is a feature, not an afterthought.
We build on stable open-source frameworks. The specific stack — LangGraph, AutoGen, custom orchestration — is matched to your environment during scoping. See our research dossier on the current state of the agent framework market (May 2026).
The AI engineering market is moving fast. Specific framework recommendations on this page reflect our May 2026 market view. We re-evaluate every six months.