Service 01

AI Automation

We map the processes your team runs by hand every day, then automate the decision points with models that are measured, monitored and reversible.

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Overview

What this actually involves

Automation fails when it is bolted onto a process nobody has written down. We start with a two-week process trace: every step, every exception, every handoff, timed and costed. Only then do we decide what a model should own, what stays with a person, and what should simply be deleted.

The systems we build are event-driven and observable. Every automated decision writes a record — inputs, model version, confidence, outcome — so your operations team can audit the work and your engineers can improve it without guessing.

Process

How we deliver it

01Process traceTwo weeks inside the work: every step, exception and handoff, timed and costed. The output is a map — automate, keep human, delete.Process map, business case, delivery plan

02Architecture & evaluation designSystem design, tool contracts and the evaluation set built from your historical cases. The release bar is agreed before code is written.Architecture note, golden set, success criteria

03Vertical slice buildOne complete workflow at a time, in production, used by real people. Weekly demo, fortnightly release.Working software in production

04Evaluation & hardeningAdversarial testing, confidence calibration, escalation tuning and load behaviour under real volume.Evaluation report, tuned thresholds

05DeploymentInfrastructure as code, progressive rollout, rehearsed rollback and cost attribution per feature and tenant.Reproducible environments, runbooks

06Operate & improveOn-call, drift monitoring and a monthly cycle that feeds production traces back into the evaluation set.Monthly operations review

Benefits

What you get out of it

Fewer touches per caseIntake, triage, routing and follow-up run without a human queue in front of them.

Exceptions handled deliberatelyConfidence thresholds route edge cases to people instead of failing silently.

Auditable by designEvery decision is logged with its inputs and model version for review.

Cost visible from day onePer-run cost and latency are dashboarded alongside accuracy.

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