Ramp Launches AI Agents for Finance Operations, Embedding Engineers With Enterprise Teams
Ramp, a financial operations platform, launched Applied AI Solutions on June 10, a service that deploys AI agents across finance workflows including accounts payable, procurement, expense management, and financial close. The offering pairs dedicated engineers with enterprise finance teams to automate processes that have resisted traditional automation tools.
The core problem Ramp identifies is context fragmentation. Finance decisions depend on information scattered across ERPs, procurement systems, spreadsheets, email threads, and employee judgment. Vendor histories, contract terms, GL codes, and approval chains live in different places. This fragmentation explains why most enterprise AI projects in finance stall after pilots-87% of CFOs say AI will be critical to their operations, yet only 21% of active users report measurable value, according to Deloitte's most recent survey.
How Applied AI Solutions Works
Ramp's approach combines five components:
- Context Extraction: Finance teams collect and structure business context agents need-policies, approval logic, vendor history, contract terms, GL mappings, and exception patterns.
- Workflow Prioritization: Ramp identifies manual, exception-heavy processes where agents can create measurable impact quickly.
- System Integration: Agents connect to existing systems: ERPs, procurement tools, document stores, approval workflows, and internal data sources.
- Agent Design and Deployment: Engineers build and test agents that operate inside existing workflows rather than in separate interfaces.
- Human Review and Controls: Finance teams maintain approval paths, exception queues, audit trails, policy-based guardrails, and human review for high-risk decisions.
Agents adapt over time by incorporating approved human corrections, adjusting to each company's vendors, GL structure, approval logic, and compliance requirements.
Built From Ramp's Own Finance Operations
Applied AI Solutions builds on infrastructure Ramp deployed internally. Ramp's finance team operates on a finance intelligence layer that maps GL accounts to operational meaning, connects policies to their sources, and automates capital planning, variance analysis, board reporting, and financial close. This internal work previously required senior finance judgment and manual reconciliation across multiple systems.
The same foundation now extends to enterprise customers: agents connected to real finance systems, grounded in company-specific context, and governed by approval paths and audit trails.
Applied AI Solutions is available for select enterprise customers. Learn more about AI Agents & Automation or explore the AI Learning Path for Operations Managers.
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