Govern inference at the point of generation.
Every LLM agent platform generates candidate actions and commits them. None of them interposes a semantic admissibility gate between generation steps. This patent does.
Every AI platform has this gap
Salesforce Agentforce. Microsoft Copilot Studio. OpenAI's operator APIs. Every major platform deploying autonomous AI agents generates candidate actions through probabilistic inference and commits them — with governance applied after generation, not during it.
Post-generation guardrails, output filters, and safety wrappers operate on completed outputs. They cannot prevent invalid semantic transitions from occurring at the moment inference is committed. They cannot enforce policy compliance, lineage continuity, or semantic admissibility at each inference step. They cannot gate execution at the structural level where decisions are made.
Inference-time execution control places a semantic admissibility gate inside the inference loop itself. Each candidate transition is evaluated against the agent's persistent semantic state — policy constraints, lineage continuity, entropy bounds, and trust-slope validation — before any commitment occurs. Invalid transitions are structurally prevented, not retrospectively detected.
EU AI Act: August 2026
The EU AI Act's conformity requirements for high-risk autonomous AI systems take full effect in August 2026. Article 9 requires risk management systems. Article 10 requires data governance. Article 11 requires technical documentation. Article 14 requires human oversight mechanisms. Article 15 requires accuracy and robustness guarantees.
Every one of these requirements demands governance at the inference layer — not wrappers applied after generation. Inference-time execution control provides the structural mechanism: pre-commit admissibility evaluation, deterministic lineage recording, governed state transitions, and auditable decision provenance at every inference step.
Platforms that cannot demonstrate governed inference will face conformity challenges. This architecture provides the governance layer they need.
The most immediately licensable primitive in the portfolio. Every commercial AI platform deploying autonomous agents has structural exposure this architecture closes.
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