Solution / Business use case
Find the answer, see the source, trust the result.
Answers from policies, documentation and past work, with citations and permissions intact.
Internal Knowledge Search
/ 01Challenge
What gets in the way today
Employees lose time hunting through intranets, shared drives and chat threads, then ask colleagues who are already busy. Experts become bottlenecks and new joiners take months to become effective.
Enterprise search returns lists of documents. People need direct answers they can verify.
/ 02AI workflow
How the work flows with AI in it
Steps marked human are decision points owned by your people.
- 01
Ingest
Approved sources are synced with structure, metadata and access permissions.
- 02
Retrieve
Questions trigger hybrid search filtered by what the user is allowed to see.
- 03
Answer
A concise answer is written from retrieved passages with citations.
- 04human
Abstain or escalate
When evidence is weak, the system says so and points to the right owner.
- 05
Improve
Feedback and unanswered questions highlight content gaps for owners to fix.
/ 03Example architecture
Signals in, governed outcomes out
A typical reference design. Your version depends on your systems, data and risk appetite.
- SharePoint, Confluence, Drive
- Policies and manuals
- Ticket and project history
- Identity and group membership
- Structured chunking
- Hybrid retrieval and re-ranking
- Cited answer generation
- Permission filtering before generation
- Abstention rules
- Faithfulness evaluation
- Query log retention policy
- Cited answers
- Source links
- Content gap reports
/ 04Benefits
What changes, and how you would measure it
Less time searching
Direct answers with sources replace browsing through folders.
Faster onboarding
New joiners self-serve on process and policy questions.
Better content
Unanswered questions and feedback show owners exactly what to fix.
Measures we would agree with you
- Answer acceptance rate
- Retrieval accuracy on a test set
- Faithfulness score
- Time to find information
- Share of questions answered with citations
We do not quote generic improvement figures. Targets are set from your measured baseline.
Limitations to plan for
- Outdated or contradictory documents produce outdated or hedged answers until content is cleaned.
- Highly confidential repositories may need separate deployments or exclusion.
/ 05Product and service match
What we would use
Product concepts
Services
- Service / buildEnterprise RAG & Knowledge AIRetrieval-augmented systems that answer from your content with citations, permissions and measured quality.
- Service / integrateData Engineering & AI PipelinesThe data foundations AI needs: reliable pipelines, clean models, governed access and lineage.
- Service / operateEvaluation, Guardrails & ObservabilityKnow how your AI systems behave: test suites, runtime guardrails, tracing and quality monitoring.
/ 07FAQ
Questions buyers ask
Can different teams see different answers?
Yes. Because retrieval respects permissions, two people may get different answers to the same question if they have access to different documents.
What happens with scanned PDFs?
They are processed with OCR during ingestion. Poor scans reduce accuracy and are flagged in the content report.
Explore AI for internal knowledge search
Bring a sample of the work: tickets, documents, requests. We will show you what is realistic and how we would measure it.