Document AI & Knowledge Systems
AI Knowledge Base & Enterprise Search
A single, permission-aware search experience across your drives, wikis, tickets and documents, where staff ask questions in plain language and find the right information quickly.
Overview
Why it matters
for your business.
Company knowledge is scattered across Google Drive, SharePoint, Confluence, email threads and old ticket systems. People ask colleagues instead of searching, and new joiners struggle for weeks. We build an AI knowledge base that connects these sources, indexes them meaningfully and lets staff search by intent, not just exact keywords.
Permissions matter more than features here. Results respect existing access rights, so a sales executive never sees HR files they could not otherwise open. We set up connectors that sync automatically, flag outdated or duplicate content for owners, and add answer summaries with links to source documents. Usage analytics show what people search for and fail to find.
What's included
- Connectors for drives, wikis and ticket systems
- Semantic search index with automatic syncing
- Permission-aware results matching source access rights
- Search interface with AI answer summaries
- Content freshness and duplication reports
- Search analytics showing gaps and popular queries
Outcomes
What changes
for your business.
Ideal for
- Growing companies with scattered documentation
- Consultancies reusing past proposals and research
- Enterprises with many internal portals
Less time hunting
Staff find policies, past proposals and procedures quickly instead of asking around or recreating work.
Faster onboarding
New joiners answer their own questions from existing knowledge rather than relying on busy colleagues.
Healthier documentation
Reports on stale and missing content help owners keep the knowledge base accurate.
How we deliver
A clear, accountable
process.
Every engagement follows the same disciplined approach, adapted to the size and urgency of your project.
- 01
Identify
We find the use cases and processes where AI or automation clearly pays off, and estimate the impact.
- 02
Prototype
A proof of concept on your own data shows what works before you commit to a full build.
- 03
Deploy
We integrate with your systems, add guardrails and human review, and train your team.
- 04
Monitor & improve
Accuracy, cost and usage are tracked, and the solution is tuned as your data and needs change.
Ways to work with us
- Fixed-price projectsDefined scope, milestones and deliverables.
- Implementation & integrationOne-time technology deployment and integration.
- Time & materialFlexible delivery based on actual effort and resources.
- Monthly managed servicesRecurring application, IT, marketing or infrastructure support.
FAQ
Common
questions.
Something else on your mind? Ask us directly.
How is this different from a RAG chatbot?
Enterprise search is primarily about finding the right documents across many sources, with permissions and freshness managed centrally. AI summaries are an addition. A RAG application focuses on generating answers for a specific use case. Many organisations start with search, then build RAG assistants on the same index.
Will staff see documents they are not allowed to access?
They should not. We sync access controls from each source system and filter results per user at query time. We test permissions with sample accounts across departments before launch and recommend periodic audits as part of ongoing maintenance.
Let's talk about AI Knowledge Base & Enterprise Search.
Tell us what you need and get a clear plan and proposal, free and with no obligation.