Security and governance are enforced by design in Appian. AI agents operate under the same enterprise controls that govern applications, processes, and data, including role-based access control, environment isolation, lifecycle management, and execution logging.

Every agent action is traceable and auditable, with full visibility into inputs, outputs, and process context. Governance is proactive rather than reactive (embedded into how agents are designed, deployed, and executed) supporting regulatory, legal, and internal compliance requirements.

Appian supports both human-in-the-loop and human-on-the-loop oversight models. AI agents can request approvals, route decisions for validation, or escalate exceptions based on defined rules and risk thresholds.

Humans remain accountable by design, with clear authority over when agent decisions are accepted, overridden, or reviewed – ensuring AI augments human judgment rather than replacing it.

AI agents follow Appian’s standard enterprise application lifecycle – moving from development to testing to production with appropriate controls. Built-in testing, monitoring, and troubleshooting tools support continuous improvement as agents scale across processes.

Because agents operate inside measurable workflows, organizations can directly track impact on cycle time, throughput, cost reduction, and decision quality – turning AI from experimentation into sustained operational value.