Our agents are trusted by

From Assistance to Execution

Automation assists. Agents execute.

Most systems stop at tasks and checklists. Nominal’s agents run the full accounting workflow — end to end.

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Growth without headcount creep

More entities and volume, handled by agents. The team focuses on insight, not upkeep.

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Always-on accounting work

Reconciliation, variance detection, and review-ready outputs — maintained continuously, not rushed at close.

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Control stays human

Agents do the work. People guide, review, and decide.

Meet the Agents

You can depend on a network of autonomous agents to run your accounting operations across systems, entities, and time. They don’t wait for instructions. They don’t wait for close. They just work.

Reconcile

Analyze

Trigger

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Anomalies detected in real time

Transaction Patrol Agents

Our agents continuously monitor transactions and account activity to detect anomalies, inconsistencies, and risks, so issues are caught early, not during close.

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Instant insights into variance

Flux Analysis Agents

Automatically analyze variance and get clear explanations of what changed, why it changed, and what matters.

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Automated reconciliation

Bank Reconciliation Agents

Continuously reconcile bank activity, surface exceptions, and maintain audit-ready records without manual intervention.

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Effortless reconciliation

Transaction Matching Agents

Automatically match transactions across ledgers, entities, and systems (including intercompany) without changing how teams record data.

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Real-time responses

Trigger Agents

Activate next steps automatically across systems and workflows when thresholds are crossed, data shifts, or anomalies appear.

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Agentic Performance Management

A New Operating Model for Accounting

We changed how accounting work gets done. Instead of teams maintaining reconciliations, consolidations, and analysis by hand, autonomous agents execute the work continuously, across every entity.

How accounting becomes autonomous

Autonomy requires three things working together: a transaction-level data foundation, clear human direction, and agents that execute the work and improve every cycle.

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The gap ERP was never meant to fill

As reconciliation, consolidation, transaction matching, and close complexity grow, more work falls outside the ERP.

Spreadsheets, manual coordination, and human effort fill the gap — until they can’t. Headcount can’t scale fast enough, and process breaks under pressure.

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What makes Agentic Finance possible

It takes three pieces working together: a transaction-level general ledger for precise data, intelligent task management for human direction, and autonomous agents that carry out work and improve with every cycle.

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Finance has outgrown the ERP

Modern finance operations have become more complex than traditional ERP systems can support. As consolidation, reconciliation, close management, and transaction matching grow, the gap widens.

AI is now mature enough to take on this work, and companies can no longer scale headcount at the pace of revenue.

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APM vs. Other Categories

How APM Fills the Gaps

CategoryPurposeExampleCapabilities
ERPSystem of record, master databaseNetSuite, SAPDoesn't automate manual processes outside core transactions
EPMPlanning, budgeting, FP&AAnaplan, AdaptiveDoesn't handle operational accounting work
Close ManagementTask tracking for period closeFloqast, BlacklineJust task lists - no automation of the actual work
APMAutonomous execution of manual finance workAI agents that DO the work, not just track or assist

Move from doing the work to running the business.