Answers miss business context
Products, entities, events and policies connect across systems, but retrieval treats them as isolated documents.
The evidence-linked enterprise AI pilot
One business question.
A clear test of value.
Find out whether connected business context improves a real AI workflow. Start with a bounded pilot, agreed evaluation criteria and a decision you can act on.
For data and AI leaders, enterprise architects and implementation partners. Scope, timing and fees are agreed before work begins.
Is this your situation?
Your AI can find information.
Can your team verify the answer?
A useful starting point when answers need relationships, shared definitions or evidence across multiple sources.
Sources are hard to investigate
Reviewers need to trace statements to documents and understand the relationships behind an answer.
Your next architecture decision needs evidence
Compare a semantic approach with the current workflow or simpler retrieval before investing in a wider rollout.
The pilot deliverables
Something to inspect.
Something to decide.
- 01
Scope & baseline
A workflow, question set, source inventory, baseline and acceptance criteria.
- 02
Connected prototype
A bounded model and implementation with source provenance and relevant retrieval paths.
- 03
Evaluation report
Results on the agreed question set, failure cases and practical tradeoffs.
- 04
Go-forward decision
A recommendation to expand, revise or stop, plus architecture and ownership considerations.
A pilot is an evaluation, not a guarantee of production readiness or improved accuracy. A simpler approach may be the right outcome.
What we need from you
One owner.
One useful workflow.
A business sponsor, a subject-matter reviewer, representative sources and a technical contact. Begin discovery with a system overview rather than confidential data.
What will we measure?
Agree answer correctness, source support and retrieval relevance as appropriate. Include latency, operating cost and permission behaviour where relevant. Document the baseline, test set and limitations.
What is outside the pilot?
Enterprise-wide migration, unrestricted source integration, production service levels and regulatory certification are outside the default scope. Any additional requirement needs an explicit agreement.
How long does it take and what does it cost?
Timing and fees depend on source access, question complexity and integration requirements. Scoping produces a written proposal with deliverables, assumptions and acceptance criteria.
What happens afterwards?
Decide whether to implement in production, refine the approach or stop. A production engagement separately addresses deployment, security review, monitoring, maintenance and handover.
Start with a real question
What should your AI
know about your business?
Bring one workflow. We’ll discuss the evidence, scope and a practical first engagement.