Month-End Close Automation
Close automation handles mechanics. It cannot answer the question your CFO asks: can we trust these numbers. ActionAI verifies every reconciliation and explains every variance.
70%
Faster close cycle
99.4%
Reconciliation accuracy
<4 wks
Time to deploy
01
The Problem
The Challenge
Close cycles have shortened through automation, but your team still sample-checks reconciliations because systems cannot identify which entries need review. Existing tools handle matching, but they do not show which entries you can rely on.
02
How It Works
How ActionAI Solves It
ActionAI ingests data from multiple sources, matches transactions across systems, and calculates accruals based on your policies. Each reconciliation entry includes a confidence score. High-confidence entries proceed with supporting documentation, while low-confidence entries are routed to your team with the triggering data attached. Over time, the system incorporates your close patterns so recurring exceptions are handled automatically.
03
The Outcome
Key Capabilities
Your team reviews only the entries that require judgment instead of sampling across the board. Accruals follow your policies, and variances include the data and explanation needed to understand the root cause.
Results that speak for themselves
70%
Close cycle reduction
Days removed from month-end process
99.4%
Per-entry verification
Every reconciliation item scored individually
$2M+
Per-entry verification
From reduced rework and faster close
Financial Services
In finance, every mistake has a footnote. A duplicate payment slips through because two instances of the same supplier have slightly different spellings in the vendor master, and the 10-K has to name the correction the following quarter. Reconcile a cash account against last month's bank statement, and the break carries into the year-end audit as a material weakness. Ground truth is the PO and goods receipt for AP, or the bank feed for a reconciliation. ActionAI scores every automated match and reconciliation against those controlling records, and high-confidence transactions post without a clerk opening the entry. When a match falls below threshold, ExEx (Explainable Exceptions) holds the posting and hands it to a reviewer with the failed check and source document on screen, so the reviewer opens the case knowing what to verify.
Related Use Cases
Frequently asked questions
AP and reconciliation at Emirates NBD at 1M+ daily transactions with auto-match moving from 90% to 99%+, invoice and procurement audit at RAK Ceramics at 99.8% accuracy, and month-end close acceleration at Healthy Poke (Day 9-10 to Day 3). Finance is the universal entry point for ActionAI across every vertical.
The posting holds and goes to a reviewer. The failed match and the source document behind it are surfaced together.
No. ActionAI reads from your GL, subledger, and close tools via API or data export; the books stay in your ERP.
A 1-2 hour scoping call identifies the highest-ROI process, then a free pilot delivers results in days to weeks. The enterprise AI average is 13 months; ActionAI runs at a different cadence.
SOC2 compliant with SSO and encryption, deployed in cloud or on-premises. Every decision is logged with full audit traceability from day one.