Ramp's Applied AI Agents Automate Complex Enterprise Finance Workflows
Only 21% of finance AI pilots deliver value—Ramp embeds engineers to fix that.
Ramp, the financial operations platform, today launched Ramp Applied AI Solutions, a service that embeds dedicated engineering resources within enterprise finance teams to build and deploy AI agents for complex, context-dependent workflows. Unlike off-the-shelf tools that fail to handle fragmented data, these agents extract institutional context—vendor history, contract terms, GL codes, approval chains—from ERPs, homegrown systems, procurement tools, and even email threads. The offering targets processes that have resisted automation: token spend management, accounts payable, procurement, financial close, accounts receivable, and expense management. Deloitte's latest CFO survey highlights the gap: 87% of finance chiefs rate AI as very or extremely important, yet only 21% of active users report clear, measurable value. Ramp's agents integrate directly into existing systems, operate with human-in-the-loop controls, audit trails, and policy-based guardrails, and improve over time by incorporating approved corrections.
Applied AI Solutions builds on the AI infrastructure Ramp developed for its own finance team, which now runs with a fraction of typical headcount. That internal system powers agents handling capital planning, variance analysis, board reporting, and financial close—tasks that once required senior judgment and manual reconciliation. For enterprise customers, Ramp provides context extraction, workflow prioritization, system integration, agent design and deployment, human review controls, and continuous improvement. The approach fuses finance domain expertise with product engineering to move companies from AI pilots to production-grade agents that actually reduce manual work and exception handling. As Ori Daniel, Head of AI Solutions, notes, "In finance, every decision depends on buried layers of context. Applied AI Solutions helps enterprises capture that context and turn it into agents that can complete work safely, with the controls finance teams need."
- Only 21% of finance AI pilots deliver measurable value despite 87% of CFOs viewing AI as critical (Deloitte survey).
- Agents extract context from fragmented systems—ERPs, emails, spreadsheets—to automate exception-heavy processes.
- Ramp's own finance team uses the same infrastructure to run at scale with a fraction of expected headcount.
Why It Matters
Ramp turns stalled AI pilots into production agents that save finance teams time on complex, exception-heavy workflows.