Agentic AI governance for regulated enterprises.

Agentic AI governance is the set of controls that keep autonomous AI workflows safe, auditable, and compliant — covering identity and access, audit trails and lineage, pre-deployment evaluation, real-time safety guardrails, observability, and lifecycle management. Incede.ai builds these in from day one using IBM watsonx.governance.

watsonx Orchestrate helps enterprises build, orchestrate, and manage AI agents and workflows. watsonx.governance helps provide visibility, oversight, risk management, controls, and audit readiness across AI systems. Incede.ai helps customers design implementations where agentic workflows, governance controls, auditability, and production support work together.

Agents operate within defined identity and access boundaries and never act with more authority than the human invoking them. Real-time safety guardrails are designed to mitigate prompt injection, unauthorized data access, and cascading failures, implemented through policy-based controls at the workflow level.

Every agent decision, tool call, and outcome is logged with full lineage, producing an audit trail your auditors and risk committee will recognize. Delivery controls align to SOC 2, HIPAA, and FINRA customer control requirements.

PII can be kept within your tenant and VPC through architecture design. We apply redaction before any fallback model call, retain full lineage on every prompt and response, and align controls to SOC 2, HIPAA, and FINRA expectations — without introducing a second governance regime.

Yes. We use a staging environment to rigorously evaluate agents before production — journey completion, answer relevancy, tool-call accuracy, security, cost, and latency — so issues are caught before customers see them.