Ramp AI Agents Achieve 99% Accuracy in Automating Finance Operations

Ramp, a leading financial operations platform, has introduced a suite of new AI agents designed to significantly automate and enhance finance team workflows, with early customers reporting a 99% accuracy rate in expense approvals. The development, highlighted by a tweet from Ian Macomber stating, "Let @tryramp agents automate your busy work," signals a major step towards autonomous financial management.

These specialized AI agents are built to manage entire workflows independently, applying context-aware, human-like reasoning to tasks traditionally handled manually by controllers. Their core functions include enforcing company expense policies, eliminating unauthorized spending, preventing fraud, and reviewing transactions. Unlike traditional rule-based automation, these agents can reason and act on behalf of finance teams, leading to more efficient and accurate operations.

Ramp, founded in 2019, has rapidly grown into a prominent financial technology company, offering corporate cards, expense management, bill payments, and vendor management solutions. The company recently secured a $200 million funding round, boosting its valuation to $16 billion, underscoring investor confidence in its growth trajectory and innovative use of AI. Ramp facilitates over $80 billion in annualized purchase volume across its various products.

The implementation of these AI agents aims to alleviate the significant manual burden on finance professionals, who often spend up to 70% of their time on tasks like expense review and compliance audits. By automating these processes, Ramp enables finance teams to reduce errors, strengthen policy enforcement, and dedicate more time to strategic initiatives. Richard Gobea, Finance Manager at Quora, commented on the impact, stating, "Before Ramp agents, we manually reviewed 100% of transactions. Now, Ramp agents take the first pass and flag what actually needs our attention."

Powered by Ramp Intelligence and utilizing OpenAI's reasoning models, the agents learn from company policies and user feedback, allowing them to approve low-risk expenses, alert suspicious activity, and even suggest policy edits. This move aligns with a broader industry trend where AI is transitioning from experimental tools to essential business infrastructure, driving down operational costs and reshaping how work is done in corporate environments. Ramp plans to expand its AI agent capabilities to cover procurement, reconciliation, and budgeting in the near future.