From 10 Days to 2 Days: How AI Accelerates the Financial Close

Where the 10 days actually go

When we audit a slow close, the time usually breaks down like this: day 1–2 on ledger cutoff and accruals, day 3–5 on intercompany and subsidiaries, day 6–7 on bank reconciliation and fixed asset adjustments, day 8–9 on consolidation and analytics, day 10 on review and publish. Roughly 70% of those days are data wrangling; only 30% is actual accounting judgment.

What AI agents handle inside the close

• Auto-posting recurring journals for accruals, deferrals, payroll, and lease adjustments — with full audit trail.
• Bank statement reconciliation using pattern + amount matching, escalating only true exceptions.
• Intercompany mirror-entry checks and automatic correction proposals.
• Variance analysis at GL account and cost center level, with AI-generated narrative explanations.
• Subsidiary roll-up orchestration: agents ping each entity's controller when their package is due and escalate if stale.

Where humans stay in the loop

We never fully remove humans from close. Judgment on provisions, reserves, impairments, and anything above a materiality threshold stays with the Controller. What changes is the volume of judgment work: instead of reviewing 2,000 journal entries, they review the 30 flagged as unusual.

Typical timeline of outcomes

1. Month 1 post go-live: 20–30% time reduction from automated reconciliation alone.
2. Month 3: 50–60% reduction as accrual automation and intercompany orchestration mature.
3. Month 6: steady-state 70–80% reduction, with the team confident enough to compress the calendar.

The case study we've seen most often: from 12 days to 2.5 days in a single cycle, after 6 weeks of deployment. That's not a marketing number — it's what happens when the 70% of data-wrangling work gets moved to agents.