AI-Augmented Financial Close.
G&A reduction via AI agents for journal entries, reconciliations, flux analysis, and audit prep.
Typical mid-market ranges, not guarantees, your single target metric is agreed in week 1.
Books close in 10 to 15 days. The CFO wants 5 to 7.
Without AI, that's a headcount problem the sponsor doesn't want to solve. The close team spends 60-70% of its time on mechanical work (journal entries, reconciliations, flux analysis, audit prep) that AI agents do reliably and faster, leaving the human team to focus on judgment-heavy work the close actually requires.
Six things, in order.
- Process redesign of the close calendar, with explicit decision rights and handoff artifacts.
- AI agents for journal entry preparation and review across high-volume accounts.
- AI agents for account reconciliation with auto-match thresholds and exception routing.
- AI agents for flux analysis and variance commentary: first-draft narratives the controller edits, not writes.
- AI-supported audit package preparation: PBC list automation, evidence collection, walkthrough documentation.
- Change management: close team training, controller dashboard, governance for AI-in-the-loop steps.
Calibrated, not promised.
| Metric | Typical range |
|---|---|
| Days-to-close | 10-15 → 5-7 days |
| Close-related FTE hours | 30-50% reduction |
| Audit prep time | 40-60% reduction |
| Variance commentary (first drafts) | days → hours |
- Modern ERP (NetSuite, SAP, Workday, MS Dynamics, or comparable) with API or export access.
- Defined chart of accounts and a controller willing to act as engagement champion.
- Willingness to redesign close steps, not just automate the existing ones.
Want to know if this is the right starting point?
In five weeks, we'll select, design, and prototype the highest-impact workflow, then hand you a rollout plan and a fixed-scope build proposal.
Not ready to talk? The Operator's Guide to Practical AI covers how to scope and de-risk a first workflow. Get the guide →
