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Leaftrail
Leaftrail

Case study

Knowledge platform with intelligent search

Helping teams find and use information faster through AI-assisted search and contextual knowledge.

Client
Confidential
Type
AI Knowledge Platform
Capabilities
AI & AutomationSoftware EngineeringCloud & Architecture

01

The challenge

Important knowledge lived in policies, manuals, past projects and shared drives. Finding the right answer often meant asking the right person.

Keyword search returned documents, not answers — and gave no sense of which source to trust.

02

Our approach

We treated this as an information problem first. We worked out which sources were authoritative, how they changed and who should see what.

We then built a retrieval-augmented system that answers questions with citations, respects permissions and makes it easy to check the source.

03

What we built

  • Document ingestion with permissions preserved
  • Hybrid search combining keywords and meaning
  • Answers grounded in cited sources
  • Feedback loops to improve quality over time
  • Evaluation and monitoring for answer quality

04

What it makes possible

  • People find what they need without knowing where it lives.
  • Answers point back to the source, so they can be verified.
  • The knowledge base improves as it is used.

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