AI & Finance Automation
AI bookkeeping and automated month-end close, designed by a controller who has to live with the results.
What “AI bookkeeping” actually means
“AI bookkeeping” is having a moment. Most of the marketing is recycled rules-based automation with a chatbot bolted on. Some of it is genuinely useful. The hard part is telling them apart — and that requires a practitioner who has actually run a close, caught the errors, and explained them to a CEO.
SeaBreeze treats AI and automation the way a good engineer treats any new technology: useful where the failure modes are understood, dangerous where they aren’t, and never a substitute for someone who can read a trial balance.
Where automation earns its place
Automated bank and credit card reconciliations
Modern reconciliation tools handle the 90% of transactions that are routine. The remaining 10% — the ones that actually matter — get human attention. Properly configured, this cuts reconciliation time by more than half without sacrificing accuracy.
AI-assisted transaction coding
Machine learning models trained on your chart of accounts and historical patterns. The model proposes; the controller disposes. Coding accuracy improves over time and bookkeeping hours drop, but every transaction still gets a real review before it hits the close.
Document automation & AP workflows
Bill capture, OCR-driven coding, approval routing, and payment scheduling. Replaces email-based AP chaos with a documented workflow and an audit trail your auditors will actually thank you for.
Close checklist automation
Modern close tools that orchestrate the close itself — task assignment, dependency tracking, reconciliation status, flux analysis. Replaces the “is the close done yet?” Slack channel with a real-time dashboard.
Custom AI workflows
For specific recurring problems — variance commentary generation, board package drafting, intercompany matching, contract review — purpose-built workflows that combine LLMs with the structured data your accounting system already produces.
Where automation does not belong
- Anywhere the failure mode is silent (incorrect output that looks correct)
- Judgment calls that affect financial statement presentation
- Anything covered by SOX-like controls without a documented human review step
- Revenue recognition decisions
- Anything you can’t explain to an auditor
A good automation strategy is as much about what you don’t automate as what you do.
How engagements work
Most clients come to AI and automation work as part of a broader fractional controller or NetSuite implementation engagement. Standalone automation projects are available for companies that already have controller-level finance leadership in place.
If that sounds like you, Please email Rob@evertekpro.com to schedule a meeting