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Our specialism

Agents that do the legwork. People who make the call.

We design agentic AI for environments where being wrong is expensive — so every run is scoped, evidenced and reversible. Built on two decades of production software pedigree.

How an agentic workflow is wired

An agent plans and does the repetitive work; tools give it ground truth; a person owns the decision that matters. Every step is logged.

Trigger
New client fileorScheduled runorUser request
Agent
PlanRead & classifyRun checksDraft recommendation
Tools
AML / KYC APICredit databaseMatch engineDocument store
Guardrails
Policy checksConfidence thresholdEscalation rules
Human
Analyst reviews & approves
Output
Decision+Full audit log+Metrics

Four principles we never bend

01

Human-in-the-loop

Consequential decisions always route to a person, with the agent's reasoning and evidence attached. Agents assist; they don't get the final word.

02

Bounded autonomy

Each agent owns a defined task and escalates anything outside it. No open-ended authority, no surprises.

03

Auditable by design

Every action, tool call and rationale is logged — so a decision can be explained and defended months later.

04

Continuously evaluated

Quality is measured against real, labelled cases — not assumed. We catch regressions before they reach production.

Worked example · Compliance operations

Re-engineering AML/KYC onboarding review

The problem

Analysts spent hours per case manually gathering documents, running checks and writing up a recommendation — a slow, inconsistent bottleneck at onboarding.

What we built

An agent that reads the documents, runs the AML/KYC and credit checks, and drafts a recommendation with full evidence — ready for an analyst to approve or override.

The result

Analysts now review and decide instead of assembling. Faster onboarding, consistent checks, and a complete audit trail on every case.

71%
less time per review
100%
decisions audited
throughput per analyst

Is agentic AI right for you? We'll tell you straight.

A good fit when…

  • The work is multi-step but rule-bound, and humans are the bottleneck.
  • Decisions need an audit trail and clear accountability.
  • There's reference data or tools an agent can check against.
  • Volume is high enough that consistency and speed pay off.

Not yet, when…

  • The process isn't understood or documented well enough to scope.
  • A simpler automation or a better-designed form would do the job.
  • The cost of a rare error is catastrophic and unmonitorable.
  • There's no appetite to keep a human meaningfully in the loop.

Have a process that’s crying out for this?

We’ll help you decide if agentic AI is the answer — honestly.

Start a project