Enterprise Knowledge Platform
An AI-powered knowledge management system that transforms how large organizations capture, discover, and apply institutional knowledge.
Context
Critical knowledge was scattered across hundreds of repositories, shared drives, and communication channels. Employees spent hours searching for information that already existed somewhere in the organization. Institutional knowledge was being lost as experienced team members moved on.
Approach
How we solved it.
01
Strategy
Mapped knowledge flows across the organization to understand how information is created, shared, and consumed. Identified high-value knowledge domains and access patterns.
02
Design
Designed an experience centered on discovery rather than search. Built intelligent surfaces that proactively recommend relevant knowledge based on context and role.
03
Build
Developed NLP models for document understanding, topic extraction, and semantic similarity. Built knowledge graph infrastructure connecting people, projects, and expertise.
04
Scale
Deployed incrementally by department. Implemented continuous learning loops that improve recommendation quality with usage.
Solution
Semantic search and discovery engine
Knowledge graph infrastructure
Contextual recommendation system
Automated document classification and tagging
Impact
Measurable outcomes.
500K+/day
Documents Processed
91%
Search Accuracy
-67%
Time to Knowledge
89%
Adoption Rate
Capabilities Used
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