Role Kernel
Governance infrastructure letting AI agents safely assume 1,016 professional roles.
The Challenge
Deploying autonomous AI agents across regulated industries required more than a prompt. It required real governance, role-appropriate behavior, risk controls, and compliance enforcement across over a thousand distinct occupational contexts.
The Approach
We architected a three-layer hierarchical system: a Baseline layer of 1,016 O*NET occupations with identity and task governance, a Governance layer of industry-specific overlays (Pharma, Finance, Healthcare, Defense) with tailored risk multipliers, and a Client layer for customer-specific customization. We built an ingestion pipeline processing 412,415 O*NET records, including 56,505 aliases and 297,676 behavioral context records, with automated risk classification driving agent operating modes (STRICT, CAREFUL, NORMAL). Semantic role resolution runs on OpenAI embeddings and Pinecone, with an industry-fork architecture producing specialized child roles with adjusted risk overlays.
Key Capabilities
Tech Stack
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