Cited Knowledge Search
Search policies and product documentation with a source attached to every claim.
Answers stay fast, consistent, and auditable.
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AI Solution
AI Knowledge Assistant
Support teams ask natural-language questions and receive concise answers grounded in approved internal sources.
- Research Time
- 18m to <2m
- Answers With Sources
- 100%
- Pilot Delivery
- 7 weeks
Project Details
- Client Type
- B2B support organization
- Delivery Timeline
- 7 weeks
- Stack
- Next.jsPythonOpenAIPostgreSQLVector Search
Case Study Walkthrough
Challenge
Knowledge was fragmented across policies, product guides, and resolved tickets, making consistent answers slow and difficult to verify.
Solution
- Built retrieval over approved sources with citations attached to every generated answer.
- Added role-aware access controls so users only retrieve content they are permitted to see.
- Created confidence thresholds and a review queue for questions that require human judgment.
Outcome
Reduced average answer-research time from 18 minutes to under 2 minutes while keeping every response traceable to an approved source.
Interactive Product Demo
Knowledge Assistant
3 sources verifiedWhat is our escalation process for priority support requests?
Priority requests are acknowledged within 30 minutes, assigned to the on-call specialist, and escalated to the service lead if unresolved after two hours.
Support policy §4.2On-call handbookSLA guide
Demo content only. Production answers are permission-aware and routed for review when confidence is low.
Access-Aware Retrieval
Results respect team roles and document permissions before content reaches the model.
Sensitive knowledge remains protected.
Human Review Queue
Low-confidence and high-risk questions route to a specialist for approval.
Automation accelerates work without removing accountability.