Trust & activate
Make data trustworthy enough for AI that your board will fund
AI programmes fail when data is ungoverned. We establish pipelines, quality checks, and access patterns so use cases can be packaged, reused, and operated — not reinvented for every pilot.
Service overview
Data Foundations & AI Activation focuses on the prerequisite most enterprises skip: reliable, well-owned data. We help you define sources of truth, lineage, and access controls, then package high-value AI use cases as repeatable patterns. Work connects naturally to MLOps Setup and Agent Building when you are ready to industrialise models and agents.
What we deliver
Data readiness review
Assess quality, ownership, PII risk, and gaps that block AI use cases.
Pipeline and warehouse patterns
Design ingest, transform, and serve paths that are testable and observable.
Governance and access
Role-based access, audit trails, and retention aligned to your compliance needs.
Use-case packaging
Turn proven pilots into reusable templates with clear inputs, outputs, and owners.
Evaluation harnesses
Offline and online evaluation so model changes are measured before they ship.
Activation playbooks
Operating guides for product and data teams to launch the next use case faster.
Prijzen
Foundations and first activation packages from £7,500. Broader platform programmes priced by domain count.
Starting from
£7,500
- Data readiness assessment
- Reference pipeline design
- One packaged AI use case
- Governance recommendations
- Handover and enablement
Our process
1
Assess
Inventory critical datasets, owners, and quality signals.
2
Foundations
Stand up or harden pipelines, contracts, and access controls.
3
Activate
Deliver a first production use case with evaluation and monitoring.
4
Productise
Capture patterns so the next use case reuses the same rails.
5
Transfer
Train your teams and leave a clear backlog for scale-out.
Activate trustworthy AI data
Bring your priority use case and data constraints — we will scope a foundations-first engagement.
Contact us