Applied AI starts with data you can trust

Q: Do we need a large AI platform first?

Usually not. A bounded use case can establish the data, evaluation and operating requirements before a wider platform decision.

Q: Can this use our existing content and systems?

Yes, provided access, permissions, quality and ownership can be made explicit for the use case.

Q: How do you decide whether an AI feature is ready?

We agree representative tests, grounding and coverage expectations, failure handling and operational responsibilities before release.

We help teams define practical AI use cases, prepare the permitted data, build the right retrieval or workflow layer, and evaluate whether the system is ready to operate.

Discuss an AI use case Explore data services

A defined use case before a technology programme

We start with the user, decision or workflow—not a generic promise to make the company AI-first. The data, access, evaluation and operating model are part of the product.

Knowledge

Knowledge assistants and RAG

Retrieval over approved content with explicit access, provenance, freshness and answer evaluation.

Workflow

Applied automation

AI-assisted triage, summarisation or decision support inside a bounded, reviewable workflow.

Foundation

AI data readiness

Inventory, permissions, quality, interfaces, evaluation sets and operational controls for one use case.

What responsible delivery includes

A named user, use case and acceptable operating boundary
Permitted repositories, owners and access rules
Data completeness, freshness, provenance and deletion requirements
Retrieval or integration design appropriate to the use case
A representative evaluation set and measurable acceptance criteria
Human review, monitoring and escalation where the risk requires it

What it does not imply

A bounded AI engagement is not a promise of enterprise-wide transformation, unrestricted access to every dataset, foundation-model training or guaranteed business outcomes.

Do we need a large AI platform first?

Can this use our existing content and systems?

How do you decide whether an AI feature is ready?

Discuss an AI use case