Continuity Governance for AI Agents
Because deployment is the beginning, not the end, of governance.
Autonomous systems don’t fail suddenly. They drift.
Gradually. Silently.
An agent can look like it is working while it quietly moves away from what it was asked to do, and from the people it answers to. By the time anyone notices, the damage is already done.
An agent drifts from shared state and compounds error before anything visibly breaks. Current tooling cannot see it, because the output still looks fine.
Monitoring tells you what happened. Evals tell you whether an answer was right. Neither asks whether the system producing the answers is still the same system.
Why runtime governance
Existing approaches to agent reliability act before execution or after it. Runtime governance acts during execution, on the system as it is computing.
- ·Drift accumulates across transitions. The earlier it is detected, the smaller the correction and the less there is to unwind.
- ·An agent that continues to act continues to compound its error. Post-hoc evaluation arrives after the side effects have landed.
- ·In multi-agent systems, drift in one agent propagates through shared state to every agent that depends on it.
What CHURPRIMO™ is
CHURPRIMO™ is a runtime layer positioned between action generation and action commitment. It evaluates continuity inside the running system rather than after failure: whether the agent, at each transition, remains within its declared plan, constraints and authority.
It is not AI. It is infrastructure. Model-agnostic and framework-agnostic, it requires no retraining and no modification of model weights or orchestration logic.
Continuity governance is the evaluation of whether a system has remained itself across change. Inline runtime governance is how it is done inside an operating system: in the execution path, while the system runs. CHURPRIMO™ is the running implementation of both.
What CHURPRIMO™ is not
It occupies a distinct category. It is a different mechanism, not a refinement of the tooling already in the stack.
- ✕Not a model. It generates nothing. It evaluates the system that does, and is indifferent to which model that system runs on.
- ✕Not an agent framework. It does not orchestrate. It sits inside the execution loop the orchestrator already drives.
- ✕Not monitoring. Observability surfaces what happened. This evaluates whether the system producing the events is still the system that was deployed, while it is computing.
- ✕Not guardrails. Guardrails constrain behavior. This evaluates whether the system producing the behavior is still the same system.
Where it matters most
Wherever execution persists across time and drift has room to compound before it becomes visible.
Drift in one agent propagates through shared context to every agent downstream of it. CHURPRIMO evaluates continuity at the boundary between agents, where the handoff occurs.
A drifting agent selects the correct tool for the wrong reason, and tool calls have side effects that persist. CHURPRIMO evaluates continuity before the action is committed.
Sustained autonomy extends the distance a small deviation can travel. CHURPRIMO evaluates continuity transition by transition across the full run, not only at deployment.
An agent that has drifted undetected corrupts the shared state the humans are working from. CHURPRIMO evaluates continuity at the human-agent boundary.
Patent pending · Presented at the AAAI 2026 Spring Symposium · Running daily inside Sughero Systems
See it run
It’s here if you want to have a look at it. If you are putting agents into production, we can show the runtime layer evaluating one of yours and talk through a design-partner fit.
Talk to us about a pilot