Process

How an AI project runs

Seven stages, one accountable team. The riskiest assumption gets tested first, and you see working software at every milestone.

From brief to production

01 — 07

Understand the business problem and the outcome you need.

Choose the AI architecture, integrations and technical approach.

Validate the critical workflow before building around it.

Develop the product in milestones you can review.

Test quality, performance, reliability and edge cases.

Deploy the production system and monitor it.

Optimise using real usage and feedback.

Accountability

You

Discovery

Architecture

Development

Testing

Deployment

Support

Same team, every stage. No hand-offs between agencies, freelancers or account managers.

Start here

Send a short brief. We'll reply personally with questions or a suggested next step — usually a technical discovery call.