Services
Threepractices.Oneengagementmodel.
Senior staff, fixed scope, plain English. We bring two to five people, not a 20-person bench.
01
AI strategy
A 6–12 week engagement to identify where AI creates measurable value, where it doesn't, and how to sequence the work.
- —Portfolio review of existing AI pilots, with kill / keep / accelerate recommendations.
- —Operating-model design: build vs. buy, in-house vs. partnered, governance and risk.
- —A 24-month roadmap, costed and sequenced against your data readiness.
02
Legacy application modernisation
We rebuild applications stuck on aging stacks, using AI tooling to accelerate refactor, test, and migration work.
- —Codebase assessment and target-architecture proposal — not a rewrite-everything pitch.
- —AI-assisted refactor: test generation, type inference, deprecated-API replacement.
- —Co-build with your team; we leave when your team can ship without us.
03
Data pipeline modernisation
We replatform brittle ETL onto modern warehouses with AI-assisted transformation and governance from day one.
- —Audit of existing pipelines, lineage, and data contracts.
- —Migration to a modern stack (Snowflake / BigQuery / Databricks) with dbt + AI-generated tests.
- —A governance baseline that survives leadership turnover — documented, owned, and enforced.