Data & AI
We turn scattered operational data into decisions you can audit: pipelines, models and the governance to keep them honest.
Data & AI services
Data platforms
Lakehouse and streaming foundations with lineage, quality checks and access control built in.
Applied AI
Forecasting, document intelligence and assistants, evaluated against agreed tests before launch.
Model governance
Model risk frameworks, documentation and monitoring your second line can read.
Three ways to engage Data & AI
- 4 weeksAI use-case assessmentA ranked shortlist of use cases with value, feasibility, data readiness and risk for each.
- 10–12 weeksModel to productionOne model built, evaluated, documented and monitored in production, not left in a notebook.
- OngoingData platform teamEngineers who run your data platform and onboard new sources every sprint.
Data & AI in practice
What clients ask about Data & AI
How do you handle model risk?
Each model ships with a decision statement, data sheet, evaluation plan and override policy, reviewed monthly with the business owner.
Do you use generative AI?
Where it fits. Assistants and document processing are evaluated on accuracy, cost and failure modes before any rollout.
Where does our data stay?
In your cloud tenancy and region. We do not move client data into our own environments.
Pick the AI use case worth building first.
A four-week assessment ranks your options by value, readiness and risk.
Request an AI assessmenthello@speey.com