Autonomous Revenue Engine
Governed autonomous revenue operations.
AI-native revenue system for commercial research, offer construction, governed execution and end-to-end revenue workflows.
Problem Addressed
Revenue teams lose time across fragmented research, qualification, offer creation, follow-up and execution while leaders struggle to preserve control and evidence.
Target Buyer Roles
Key Use Cases
- Autonomous commercial research and account qualification
- Policy-governed proposal generation with pricing and margin floors
- Durable multi-touch buyer journey orchestration
- Deterministic qualification scoring under MEDDPICC dimensions
Verified Capabilities (Evidence-Backed)
- Bilingual operator console (ES/EN) with role-based access
- PostgreSQL 16 persistence with strict tenant Row Level Security (RLS)
- Deterministic policy enforcement: margin floors, discount authority, consent checks
- Dual OIDC authenticated session continuity (FP-15)
- Governed buyer evidence ledger with cryptographic digests
- Zero autonomous revenue recognition before independent PSP settlement (Issue #75 lock)
Real Limitations & Boundaries
- Autonomous outbound communication strictly gated by human approval boundaries
- Production PSP settlement integration pending independent verification (Issue #75 open)
- Real customer revenue attribution is 0% in current verifiable baseline
- Requires buyer-hosted or managed PostgreSQL 16 substrate with RLS
The October 9 Customer Zero code review identified synthetic pipeline stages and inadequate proof of live sending, approval and payment events. No real autonomous sales, provider receipts or realized revenue are verified.