Maxima raises $41M Series A to automate the month-end close with AI agents across ERPs

Summary

Maxima, an enterprise accounting automation platform, raised $41 million in a Series A round. The company has been operating for roughly five to six quarters and counts Scale AI, Rippling, and SpotOn among its customers.

Maxima operates as a layer on top of any ERP rather than replacing it. Founder Yogi Goell compares replacing an ERP to brain surgery. Instead, Maxima's agents automate the work of pulling data from upstream systems, running it through the close process, and flagging anomalies before they become material errors.

Goell spent 20 years as an auditor and accountant and frames the commercial problem as a talent shortage rather than labor replacement. There aren't enough accountants available to handle the volume of work that exists. Last year saw the highest number of material misstatements by US companies on record, with some triggering stock drops of up to 40%.

Where AI works well today

Goell describes two areas where current models perform reliably. First, rule-following at scale: Maxima constrains its agents to a deterministic toolset, so the same calculation always produces the same auditable answer, which is critical when Deloitte or EY comes in to review the work. Second, anomaly detection across large transaction volumes catches patterns like a legal bill jumping from $50,000 to $500,000 because someone added an extra zero.

Humans stay in the loop for judgment calls that fall outside defined rules. Goell doesn't specify exactly where that boundary sits today but implies it will narrow as models improve.

The positioning is deliberately conservative relative to the broader AI-labor-replacement narrative. Maxima is selling error reduction and efficiency to finance teams, not headcount cuts to the CFO.