GROUNDED ANSWERS FROM GOVERNED KNOWLEDGE

Put enterprise knowledge to work.

Design knowledge experiences and AI assistants around sources people can trust, permissions they already hold and answers they can inspect.

THE WORK TO BE DONE

Design around the business need.

Better answers depend on the state of the knowledge behind them. We establish source ownership, retrieval boundaries and evidence handling before adding a conversational interface.

01

Knowledge readiness

Identify authoritative sources, duplicates, stale content, review responsibilities and the information needed to assess quality.

02

Retrieval and grounding

Choose retrieval patterns around source structure, permissions, freshness, citation requirements and the questions users need to answer.

03

Assistant experience

Implement an appropriate Copilot Studio or custom assistant experience in SharePoint, Teams or another agreed channel.

04

Evaluation and monitoring

Test representative questions, missing evidence, restricted sources and retrieval failures. Monitor answer usefulness alongside reliability and consumption.

A REVIEWABLE ENGAGEMENT

What the work produces.

Scope and acceptance are agreed at the start of the engagement.

Typical deliverables

  • Source catalogue and readiness assessment
  • Retrieval and identity design
  • Assistant integration and citation experience
  • Evaluation set and operating guidance

Controls to design and verify

  • Authorisation enforced at the retrieval boundary
  • No prompt-based substitution for access control
  • Defined handling of missing or conflicting sources
  • Approval gates before consequential actions

IN OPERATION

A practical employee or operator journey.

A staff member asks a policy question inside SharePoint. The service retrieves the sources that user may access, returns an answer with evidence and identifies where the source material is insufficient.

Measures to agree

  • Evidence-supported answer quality
  • Successful retrieval for priority questions
  • Restricted-content test results
  • Latency and consumption per useful interaction

Technology choices

SharePoint · Copilot Studio · Azure AI services · Azure OpenAI · Microsoft Graph · Entra ID

The selected components depend on your tenant, licensing, operating requirements and existing platform investments.

QUESTIONS BEFORE WE BUILD

Make the boundaries explicit.

Can we work with the systems we already have?

Yes. Discovery begins with your existing platforms, content and processes. We identify what can be retained, what needs to change and which integration boundaries require agreement.

What does the first release include?

A bounded business scenario, agreed users and sources, acceptance tests and a support owner. The scope is defined from evidence rather than a fixed set of generic features.

How do you establish production readiness?

By verifying the intended behavior, permissions, failure paths and operating model against agreed acceptance. A successful interface demonstration is one input to that decision.

LET’S BUILD THE NEXT CAPABILITY

Let’s define the next useful release.

Start with a business outcome. We will help define the architecture, the first release and the evidence needed to move forward.

PART OF THE CONEXIQ INTELLIGENCE LAYER

Connect the capability
to the wider system.

Reusable module scope, knowledge and tool interfaces, and tenant-bound delivery establish how this capability fits into an enterprise intelligence system.

The Intelligence Layer