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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, creating a slow, inconsistent onboarding bottleneck.

What we built

An agent that reads the documents, runs 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