Approach

Method

Five stages, each with a written output and a decision point before the next begins.

01
Scope
Objective, data sources and a written statement of what is in and out of scope.
02
Prototype
The smallest build that tests the assumption on real data, against an agreed baseline.
03
Validation
Results reproduced from source and reconciled before anything is relied upon.
04
Production and handover
Deployed in your environment, with documentation and a runbook transferred to your team.
05
Monitoring
Optional. Data-quality alerting, model drift reports and a quarterly review.

Working principles

Written scope

Objective, deliverables and acceptance criteria agreed before work starts.

Every figure we deliver can be traced to its source and its definition.

Work is documented so your team can run it without us.

Minimum data required, for the shortest period necessary.

A short call is usually enough to establish whether the work is feasible and worth scoping.