Open-Source Framework Accordo Shows How AI Agents Handle Discount Approval Limits

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Accordo, an open-source framework for building custom CRMs with coding agents, demonstrates how approval rules can be enforced when an AI agent requests a discount beyond an automatic threshold. In a runnable example, a synthetic customer requests 30 Enterprise Plan seats with a 25% discount, which exceeds the policy's 10% auto-approval ceiling and triggers a human-review requirement. When the simulated agent attempts to approve the request itself, it receives an HTTP 403 error with a HUMAN_APPROVAL_REQUIRED response, and no business audit entry is recorded. Only after a simulated user manually approves does the quote advance to an approved state, generating a complete audit trail and trace. The developers are seeking three teams with real quoting or approval workflows to participate in a bounded pilot using synthetic data.

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