Consulting for Human-Centered Knowledge Systems#
Designing tools, workflows, and frameworks that make information usable—for people and for machines.
We help organizations structure their content, knowledge, and processes to work seamlessly in AI-powered environments. Whether you’re building internal documentation systems, training knowledge graphs, or refining your publishing workflows, we bring 25+ years of cross-disciplinary experience to make your systems more intelligent, usable, and sustainable.
Who We Help#
- Knowledge teams at growing startups or mature enterprises
- Documentation leaders integrating AI or structured authoring
- Product teams needing schema-driven workflows
- Public agencies and nonprofits modernizing legacy content systems
- Publishers and educators preparing content for intelligent delivery
If your organization works with large volumes of information—and you want to make it discoverable, reusable, and future-proof—we can help.
Let’s Talk#
Need help designing a smarter, more sustainable way to work with information?
Get in touch →
Consulting Services We offer specialized consulting to help your organization design intelligent, human-centered systems for content and knowledge. Each engagement is custom scoped, but our work typically falls into one or more of the following service categories.
1. Knowledge System Architecture Build content systems that scale with structure and meaning.
Modular content reuse AI/LLM integration (RAG pipelines, summarization, personalized delivery) Structured content lifecycles Deliverables may include:
Schema definitions (YAML, JSON-LD) Taxonomy design Authoring environment architecture 2. AI-Ready Documentation Workflows Make your documentation future-proof.
...
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.
...