Interview: Nominal CMO on Why Finance AI Agents Need to Execute, Not Just Explain

ERP Today Live Interview

Key Takeaways

Nominal is positioning agentic AI for ERP finance as a way to move beyond chatbots and help teams execute accounting workflows, reconciliation, and intercompany tasks with human oversight.

Stephanie Montelius said Nominal’s agents follow customer standard operating procedures and are designed to work alongside finance teams rather than operate without human review.

The interview highlights manufacturing, multi-entity organizations, high transaction volumes, and ERP-agnostic integrations as key areas where finance AI agents can reduce manual work and consolidate fragmented processes.

At this year’s Sage Future in San Francisco, the AI conversation kept returning to the same question: How do businesses move from experimenting with AI to trusting it with real operational work?

For Stephanie Montelius, CMO of Nominal, an agentic AI platform for ERP and finance teams, the answer starts with a distinction that matters for ERP teams. Chatbots can explain, summarize, and provide context, but they do not necessarily take work off the user’s plate. Nominal is betting on a different model—agentic performance management that sits alongside the ERP system, follows standard operating procedures, and helps execute finance and accounting tasks with human oversight.

In this ERP Today interview, Montelius discusses why finance teams are looking for agents inside their ERP ecosystems; where trust and determinism fit into AI adoption; and why high-volume, multi-entity businesses are emerging as a strong use case. She also explains how Nominal approaches intercompany transactions, reconciliation, ERP-agnostic integrations, and the balance between automation and accountability as AI tools move deeper into enterprise operations.