Multi-Agent Revenue Operations Workflow System DesignMulti-Agent Revenue Operations Workflow System Design
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AI Revenue Ops Mesh: Multi-Agent System Design A system design for a multi-agent revenue operations workflow, built by UI Trax.
The problem: when several AI agents handle research, sales and support, leads get lost in the handoffs. Duplicate messages, unverified bookings, and risky actions with no human check.
The design: • One shared customer record, deduplicated with idempotency keys • An orchestrator that assigns one owner at a time, with step and budget limits • Four specialist agents: Research, Qualify, Sales and Support • A tool layer for CRM, calendar, WhatsApp API, payments, email and docs • Guardrails: policy engine, human approval gate and audit log • A supervisor for loops, tool errors and customer replies • An eval gate, so no update ships if it breaks a case that used to pass
Deliverable: architecture, workflow logic and a 64-second animated explainer. Report figures in the video are example data.
Amna's avatar
Excellent work! The focus on reliable handoffs, human approval gates, and evaluation checks makes this architecture especially strong. I love how it balances AI automation with accountability and control. A well-thought-out system design! 👏
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