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Trust & activate

Data Foundations & AI Activation

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.

Data centre corridor with fibre lighting representing trusted data foundations

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.

Pricing

Starting from

£7,500

Foundations and first activation packages from £7,500. Broader platform programmes priced by domain count.

Contact us

What's included

  • 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.