Insights on organizational context and enterprise AI
How behavioral signals, knowledge management, and people context are reshaping the enterprise AI stack.
Agent Orchestration for AI Engineers: Harnesses, Context, and the Layer Most Teams barely thought of
What is a harness? What is context? And what is the layer that most agent orchestration stacks have not built yet? A technical breakdown of the model-harness-context taxonomy and the org-level fourth layer enterprise agents actually need.
Read more Platform PartnershipA Large Behavior Model for AI Governance and Agent Orchestration Platforms
For enterprise AI platform builders, AI governance platforms, and agent orchestration vendors. Six customer pains your content-level stack cannot solve, and how embedding BehaviorGraph, a Large Behavior Model trained on over a billion governed behavioral signals from real-world enterprise deployments, closes each one through REST, MCP, or RAG.
Read more TechnicalYour AI Agents Route to the Wrong Person. Here's the Missing Layer.
You built the RAG pipeline. You wired the knowledge graph. Retrieval scores look solid. But the agent still routes the invoice approval to someone who left the team three months ago. The problem is not retrieval. It is context.
Read more Market LandscapeThe Layer Every Enterprise AI Platform Is Missing
Enterprise search, foundation models, productivity AI, and HR analytics are all racing to own the enterprise stack and all hitting the same wall. The missing layer is not a feature any of them will ship. It is a category of its own.
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