Initial Problem Coverage

AgenticContract was created to solve the fundamental governance gap in AI agent systems.

The Core Problem

AI agents are increasingly autonomous but lack structured governance frameworks. Without contracts, policies, and limits, agents operate in a trust vacuum where:

1. No rules define acceptable behavior
2. No limits prevent resource exhaustion
3. No approval gates protect high-stakes actions
4. No obligations ensure compliance
5. No audit trail records violations

How AgenticContract Solves It

AgenticContract provides a complete governance stack:

• Policies — Declarative rules (allow/deny/require_approval) at global, session, and agent scope
• Risk Limits — Quantitative guardrails with real-time tracking
• Approvals — Structured human-in-the-loop workflow
• Conditions — Prerequisite checks before action execution
• Obligations — Tracked commitments with deadlines
• Violations — Severity-classified breach records