Your Finance Agent's Bottleneck Is You
Conference Context
- Date/time: 2026-07-01 · 2:25pm-2:45pm
- Track/room: AI in Finance · Track 3
- Speaker(s): Ramana Siddanth Emani
- Session type/status: session · confirmed
- Track: AI in Finance
- Room: Track 3
- Session type: session
- Status: confirmed
Session Description
Most "AI for Finance" demos look great and almost none survive past pilot. If you've pushed an agent past one workflow, one tenant, or one Workday schema, you know the bottleneck isn't the model - it's the engineer behind the agent, who can't iterate fast enough to keep up with real AP data, real RBAC, and real query volume. What if you built your dev loop with the same primitives you're shipping to the finance team? In this talk, I'll show the subagent + skills + MCP stack - a production multi-agent system over AP, PO, vendor, and multi ERP systems, a LangGraph pattern that survives production, and the three failure modes that kill finance pilots before they ship.
Media Evidence
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Evidence Graph
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Agent Reading Notes
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People
Notes
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Synthesis
Synthesized Breakdown
Your Finance Agent's Bottleneck Is You ## Conference Context - Date/time: 2026-07-01 · 2:25pm-2:45pm - Track/room: AI in Finance · Track 3 - Speaker(s): Ramana Siddanth Emani - Session type/status: session · confirmed - Track: AI in Finance - Room: Track 3 - Session type: session - Status: confirmed ## Session Description Most "AI for Finance" demos look great and almost none survive past pilot. If you've pushed an agent past one workflow, one tenant, or one Workday schema, you know the bottleneck isn't the model - it's the engineer behind the agent, who can't iterate fast enough to keep up with real AP data, real RBAC, and real query volume. What if you built your dev loop with the same primitives you're shipping to the finance team? In this talk, I'll show the subagent + skills + MCP stack - a production multi-agent system over AP, PO, vendor, and multi ERP systems, a LangGraph pattern that survives production, and the three failure modes that kill finance pilots before they ship.
Speaker And Company Context
- Ramana Siddanth Emani — Data Scientist at Auditoria AI.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
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