Primary Problem Coverage

Ungoverned Agents

AI agents operating without policy constraints can take unauthorized actions, access restricted resources, and exceed their intended scope. AgenticContract provides policy-based governance that enforces boundaries on agent behavior.

No Policy Enforcement

Without a policy engine, there is no programmatic way to define, check, or enforce rules about what agents can and cannot do. AgenticContract's policy system supports allow/deny/require_approval/audit_only actions with global, session, and agent-level scoping.

Risk Blindness

Agents making decisions without awareness of risk thresholds can cause cascading failures. AgenticContract's risk limit system tracks rate limits, budget caps, thresholds, and count-based limits with real-time usage monitoring.

Approval Bottlenecks

High-stakes agent actions need human oversight, but ad-hoc approval processes are fragile. AgenticContract provides a structured approval workflow: rules define when approval is needed, requests capture pending actions, and decisions record outcomes.

Obligation Drift

Agents assigned obligations (reporting requirements, compliance tasks) can silently miss deadlines. AgenticContract tracks obligations with deadlines, monitors overdue status, and records fulfillment.

Violation Amnesia

Without a violation record, patterns of policy breaches go undetected. AgenticContract logs every violation with severity levels (info/warning/critical/fatal), enabling trend analysis and escalation.