Use cases · Finance

Where finance teams are betting on AI.

Six use cases taking the manual grind out of the office of the CFO while tightening control.

01

Autonomous close and reconciliation

Agents match transactions across systems, clear routine exceptions, and draft journal entries with full audit trail, so controllers review instead of keying.

30 to 50% faster monthly close

02

AP and AR automation

Invoice capture, three-way match, payment scheduling, and collections outreach run end to end, with only true exceptions reaching staff.

60 to 80% less manual invoice processing

03

Forecasting and scenario planning

Driver-based models produce rolling forecasts and let leadership stress-test scenarios in minutes rather than quarters.

20 to 40% lower forecast error

04

Spend and procurement intelligence

Agents benchmark contracts and prices, flag maverick spend, and surface renegotiation opportunities across the vendor base.

3 to 8% of addressable spend recovered

05

Continuous fraud and expense audit

Anomaly models score every expense, payment, and vendor change, moving audit from quarterly samples to complete coverage.

Audit coverage from samples to 100% of transactions

06

Board and investor reporting

Agents assemble variance narratives, KPI packs, and board pages from the actuals, ready for CFO review.

Days to hours for reporting packages

Figures are directional benchmarks from 2025 to 2026 enterprise AI deployments. We verify against your baseline before they appear in any proposal.

Let's discuss your use cases for AI.

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