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Solution
AI Internal Search
Search that understands intent — across docs, tickets, emails, and data.
What this can save you
Employees lose minutes per search; AI search turns that into seconds (internal estimate).
Estimates are internal — use our ROI calculator for your specific numbers.
What This Solution Delivers
Keyword search misses synonyms, context, and the right document. Employees give up and ask someone. Centcept indexes all internal sources semantically so search understands intent and returns the right answer — not just links — with permission rules applied to every result.
View this solution as...
Timeline
3–8 weeks
Cost range
$12,000 – $40,000
Expected outcome
Employees lose minutes per search; AI search turns that into seconds — understanding intent, returning cited answers, enforcing permissions, and showing you what people cannot find.
Key risks to plan for
Keyword ceiling · Permission holes · No feedback loop
The Problem
Keyword search misses synonyms, context, and the right document. Employees give up and ask someone.
Employees
Find the right answer in seconds, not minutes of keyword guessing.
IT & knowledge teams
One search across docs, tickets, email, and data.
Security & compliance
Permission rules enforced on every result.
Leadership
Analytics on what people search for and whether they find it.
Intent-aware results
Search understands what you mean, not just the words.
Synthesized answers
Returns the answer with citations, not ten links.
Permission-safe
Every result filtered by the searcher's access.
Search analytics
See what people hunt for and what they fail to find.
How It Works
01
All internal sources are indexed semantically.
02
Search understands intent and returns the right answer, not just links.
03
Permission rules apply to every result.
04
Analytics show what people search for and what they find.
Timeline
3–8 weeks
Cost range
$12,000 – $40,000
Expected ROI
Time-to-find down, fewer repeated questions, higher knowledge use.
Outcomes You Can Expect
Examples of what this solution delivers — measured on your own numbers in discovery.
Time-to-find down
Answers in seconds.
Fewer repeated questions
People find it instead of asking.
Higher knowledge use
The index actually gets used.
What We Make Sure Goes Right
Keyword ceiling
Lexical search misses meaning. Semantic indexing fixes it.
Permission holes
Results leaking across roles is a security failure.
No feedback loop
If failed searches are invisible, the index never improves.
Architecture
Semantic indexing across docs, tickets, email, and databases
Hybrid lexical + semantic retrieval
Answer synthesis with citations
Permission filtering on every query
Search analytics with failure tracking
Integrations
ConfluenceSharePointDriveSlackDatabasesTickets
What You Get
Multi-source semantic index
Intent-aware search UI
Cited answer synthesis
Permission enforcement
Search analytics dashboard
Scope & Boundaries
What's included
- ✓ Source indexing
- ✓ Search experience build
- ✓ Answer synthesis
- ✓ Permission filtering
- ✓ Analytics
What's not included
- ✕ External customer-facing search (see AI Knowledge Management)
Who Works On It
AI engineer
Builds semantic index and retrieval.
Search UX designer
Designs the search experience.
Frequently Asked Questions
How is this different from Google-style search?
It understands meaning and returns synthesized, cited answers — not just ranked links.
Does it respect permissions?
Yes — every result is filtered by the searcher's access.
Logical Next Steps
Your Solution Lifecycle
Related Resources
Related Services
Industries
Ready to explore ai internal search?
$12,000 – $40,000 typical range · 3–8 weeks typical timeline. Book a call and we'll scope it properly.