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Use case · AI for Internal Knowledge Assistants
Internal AI assistants: stop hunting through SharePoint for things you've already written.
The problem
Most companies have written down everything someone needs to know, somewhere — in policies, wikis, decks, old emails, past project files. The problem is finding it. Slack searches return chaos. SharePoint returns 47 results, none of them useful.
The solution
We build internal assistants that index your real knowledge sources and answer questions in plain English with citations. Trained carefully on what's current and authoritative; configured to say "I don't know" rather than make things up.
The platform connects to approved knowledge sources such as SharePoint, Microsoft 365, Confluence, document repositories, policies and internal documentation. Rather than generating answers without evidence, the system retrieves relevant information, validates the source and presents an answer with citations.
When reliable information is unavailable, the assistant clearly indicates uncertainty rather than inventing an answer — trusted answers, not educated guesses.
Workflow
From Question to Trusted Answer
How an employee question flows through the platform — from unified search through source validation to a cited, confidence-scored answer.
Employee question
Asked in plain English from the workspace, Teams or intranet
Knowledge search
SharePoint, Confluence, Microsoft 365 and document stores searched together
Source validation
Permissions, recency and authoritativeness checked before use
AI analysis
Relevant passages reasoned over with confidence scoring
Answer generation
Plain-English response drafted, grounded in retrieved evidence
Citation attachment
Every claim linked back to the document, page and version
Trusted response
Cited answer delivered — or a clear "I don't know" if evidence is thin
Typical platform capabilities
What a production-grade internal knowledge assistant looks like once it is connected to your real sources and running across the organisation.
Citation-based answers
Every answer is linked back to its source material so it can be checked.
SharePoint integration
Connects to approved organisational knowledge already living in Microsoft 365.
Document intelligence
Analyses policies, procedures and long-form documentation, not just FAQs.
Permission-aware access
Respects existing user permissions and security controls — users only see what they should.
Knowledge governance
Prioritises trusted, current and authoritative content; downgrades stale material.
Before vs after
Traditional knowledge search
AI knowledge assistant
Stop searching. Start finding.
Same question. A very different path from "I need to know this" to "I have the answer."
Hunt, ask, repeat
- Question
- ↓ Search SharePoint
- ↓ Search Teams
- ↓ Search email
- ↓ Ask a colleague
- ↓ Still unsure
Ask once, decide
- Question
- ↓ Unified knowledge search
- ↓ Source validation
- ↓ Cited answer
- ↓ Decision made
The outcome
New joiners get up to speed faster. Senior people stop being asked the same five questions every week. Decisions get made on what's actually written down rather than on whoever shouted loudest in the meeting.
Faster onboarding
New employees become productive more quickly, without waiting on a buddy.
Reduced interruptions
Subject matter experts answer fewer repetitive questions and reclaim deep-work time.
Better decision-making
Teams rely on documented knowledge rather than assumptions or hallway opinions.
Improved knowledge accessibility
Information becomes easier to find and use — in the flow of work, not after it.
Production AI
Trusted Answers, Not Educated Guesses
Many AI assistants can generate convincing answers. The challenge is ensuring those answers are based on trusted organisational knowledge and supported by evidence.
We build knowledge assistants that prioritise authoritative sources, provide citations and respect existing security and governance requirements — then deploy, host and support them in production.
SharePoint Integration
Microsoft 365
Permission-Aware Access
Citations
Monitoring
Managed Support
Architecture
Typical deployment environment
A layered architecture — from your existing knowledge sources through indexing and retrieval into a monitored, governed employee workspace.
Knowledge sources
SharePoint, Confluence, Teams, policies, handbooks and project documentation.
Document processing layer
Indexing, chunking and content preparation with permission metadata preserved.
AI knowledge engine
Retrieval, ranking and grounded answer generation with confidence scoring.
Knowledge workspace
Employee search and question interface, embedded into Teams, intranet or web.
Monitoring & governance
Usage monitoring, feedback capture and content management workflows.
Security & access
Single sign-on, role-based access and audit logs aligned to existing controls.
Commonly used in
Where this typically lands
Internal knowledge assistants solve a cross-industry problem — anywhere people spend time hunting for information someone has already written down.
Professional services
Consultants and delivery teams reusing prior work and methodology.
Education & learning
Policies, course material and learner support across institutions.
Telecommunications
Product, network and process documentation for large operational teams.
Charitable trusts
Programme guidance, safeguarding and grant processes across distributed teams.
Medical device manufacturing
Regulated procedures, quality documentation and engineering knowledge.
Technology organisations
Engineering runbooks, internal APIs and product knowledge across squads.
Related service
This use case is delivered through our custom ai development work. See also our full services list and other use cases.
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