Agents do not just return outputs. They take actions. Once agents invoke tools, manage memory, and trigger downstream systems, execution integrity becomes a control requirement.
Autonomous tool calls and chained decisions create accountability gaps. When an agent acts, the record of what it did, with what inputs, and under what conditions must be reproducible and tamper-evident.
A tool-call log shows the call. It does not prove what the agent saw before the call, what context shaped the decision, or that the recorded call has not been modified after the fact.
Inputs at the decision boundary, parameters, intermediate context, the chosen action, and the resulting output. NexArt binds these into a Certified Execution Record at every agent step.
Each agent step produces its own CER. Multi-step workflows can be grouped into a Project Bundle with a single Project Hash that verifies the entire run end-to-end.
Decisions made by agents become certified decisions: AI outputs backed by Certified Execution Records that prove the conditions under which they were produced.
Customer support agents, governed approvals, automated reviews, multi-step pipelines, and any agent whose actions may later be challenged.
AI Agents Use Case · Certified Decisions · Certified Execution Records · Protocol