Use case

GenAI assistants for knowledge workflows

Build assistants that help teams find, summarise, and draft content with appropriate guardrails, review flows, and policy alignment.

Example measures Time saved • Quality controls
Typical outputs Copilot + guardrails
Core services GenAI • Advisory
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Overview

This use case applies GenAI to improve productivity in knowledge-heavy work: search, summarisation, drafting, and structured extraction. Delivery focuses on accuracy, policy alignment, and operational controls.

Common scenarios

  • Internal knowledge search and Q&A
  • Document drafting with review workflows
  • Summaries and structured extraction

Controls that matter

  • Access control and data boundary enforcement
  • Human review steps for high-impact outputs
  • Evaluation and monitoring for quality

Diagram

User request flows through retrieval and guardrails to a reviewed output.

User Question / task Context provided Retrieval Approved sources Access enforced Output Draft / summary With review step Guardrails & evaluation

Example measures

  • Time saved per task (drafting, search)
  • Quality scores from evaluation set
  • Adoption and usage across teams

Illustrative measures, tailored per organisation.

Typical deliverables

  • Use case definition and evaluation plan
  • Copilot implementation with guardrails
  • Monitoring and governance approach

Want a practical copilot?

We can help you select a strong workflow and deliver safely with controls and monitoring.

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