Solution
AI Knowledge Management
Let employees ask questions in plain language and get accurate, cited answers drawn from your policies, manuals and documentation, respecting who is allowed to see what.
The problem
The answer exists somewhere, but where?
Organisations accumulate vast amounts of knowledge in intranets, shared drives, wikis and tickets. Finding the right, current answer often means searching several places or asking a colleague, interrupting their work too.
New employees take longer to become productive, and inconsistent answers create risk, particularly for policies and procedures.
Causes and impact
Why it happens and what it costs
Content sprawl
Knowledge lives in many repositories with overlapping versions.
Keyword-only search
Search fails when users do not know the exact terms.
No content ownership
Outdated documents remain discoverable alongside current ones.
Operational impact
- Time lost searching for information
- Repeated questions to experts
- Inconsistent or outdated answers
- Slower onboarding of new staff
The solution
A trustworthy assistant on top of your knowledge
Using retrieval-augmented generation, the assistant searches your approved sources for relevant passages and composes an answer that cites them. Access controls are applied at retrieval time, so users only receive answers from content they are permitted to see.
Content owners get reports on unanswered questions and frequently cited documents, turning the assistant into a tool for improving the knowledge base itself.
Main features
Key features
Natural-language Q&A
Ask questions conversationally and get direct answers.
Source citations
Every answer links to the passages it is based on.
Permission-aware retrieval
Respects document access rights per user.
Automatic syncing
Indexes stay current as documents change.
Content governance
Owners, review dates and source prioritisation.
Usage insights
Popular questions, gaps and feedback ratings.
High-level workflow
How it works
Illustrative example: HR policy assistant
Employees ask about leave entitlements or travel policy in a chat tool. The assistant answers from the current HR handbook, cites the relevant section and routes unusual cases to the HR team.
- 1
Connect sources
Approved repositories connected and indexed.
- 2
User asks
Question received in chat, intranet or collaboration tool.
- 3
Retrieve
Relevant, permitted passages found and ranked.
- 4
Answer with citations
Grounded response generated and linked to sources.
- 5
Improve
Feedback and gaps reported to content owners.
Integration requirements
Systems typically involved
- Intranet and wiki platforms
- File storage and document management
- Ticketing and knowledge bases
- Collaboration and chat tools
- Identity provider for permissions
Implementation considerations
Source selection
Start with authoritative, well-maintained content.
Permissions mapping
Ensure access rules are preserved in the index.
Answer boundaries
Define how the assistant responds when sources are silent.
Evaluation
Test answer quality against a set of real questions.
Potential benefits
What this solution is designed to improve
Actual results depend on your starting point, data and adoption; we agree how to measure them during discovery.
Faster answers
Employees find information in seconds rather than minutes.
Fewer interruptions
Experts receive fewer repeated questions.
Consistent guidance
Answers come from the same approved sources.
Better content
Gap reports guide improvements to documentation.
Explore more
Related solutions and services
Enterprise Search
One secure search experience across documents, tickets, wikis and business systems.
Learn more about Enterprise SearchGenerative AI Development
Language-model features that draft, summarise and extract information, grounded in your own content.
Learn more about Generative AI DevelopmentAI Chatbot Development
Conversational assistants for customers and employees that answer accurately and escalate gracefully.
Learn more about AI Chatbot DevelopmentProfessional Services
Client portals, knowledge tools and workflow automation for consulting, legal and advisory firms.
Learn more about Professional ServicesFAQs
Frequently asked questions
Answers to the questions we hear most often. If yours is not covered here, our team is happy to talk it through.
RAG is a technique in which an AI model first retrieves relevant passages from your documents and then generates an answer based on them, rather than relying on its general training.
Yes. Permissions are applied when retrieving content, so answers are drawn only from documents the user is allowed to access.
Make your organisation’s knowledge easy to use
Tell us where your knowledge lives and who needs it, and we will propose a pilot.
