Case Studies

Below are selected case studies demonstrating how we help clients solve complex content and knowledge challenges.

Cloud Services: AI-Readiness - Structuring Content for AI Readiness and Scalable Multichannel Publishing

Challenge: Inconsistent structure and manual reuse across thousands of technical documents limited the client’s ability to scale, personalize, or integrate with AI systems.

Solution: A schema-driven, pattern-based content model with built-in validation, semantic alignment, and support for multichannel publishing and AI-ready outputs.

Impact:

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E-Commerce: Building a Real-Time Knowledge Graph for an eCommerce Platform

Challenge: Outdated, siloed documentation hindered system visibility and slowed support and onboarding.

Solution: A self-updating, graph-based knowledge system built on Neo4J and telemetry pipelines, unifying code, infrastructure, and transaction data into a dynamic, queryable map.

Impact:

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Healthcare: Delivering API Documentation for a Clinical Genomics Decision Support Platform

Challenge: Unstructured, developer-unfriendly API documentation slowed EHR integration and risked inconsistent implementations.

Solution: A use case-driven, role-aware documentation framework with real-world clinical workflows, structured data payloads, and an interactive documentation site.

Impact:

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Consulting and Strategy

Design AI-ready content systems and workflows for modern teams.