AI agents for reconciliation
The short version: reconciliation is high-volume, rules-driven, daily, and almost entirely lookup — which makes it ideal agent work. It’s also financial, which means a human approves every entry, always.
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What this actually looks like today
Someone opens three systems and compares them. Revenue in the property system against the POS against the payment gateway. Invoices against purchase orders against receipts. Bank against ledger.
Where they match, nothing happens and the time was spent anyway. Where they don’t, the real work begins — and it’s buried under the matching.
In multi-site operations this happens every day, per site, and consolidation happens on top of it.
What the agent does
- Trigger. A scheduled reconciliation window, or continuous as transactions land.
- Reasoning. Matches across systems on your rules, identifies variances, classifies them by known cause, and cross-references history for recurring patterns.
- Action. Clears matched items, prepares proposed entries for variances it recognises, and assembles the exception list with supporting evidence attached.
- Escalation. Every entry goes to a human for approval. Unrecognised variances and anything above your threshold are flagged prominently.
Traditional vs agent-augmented
| Stage | Today | With an agent |
|---|---|---|
| Matching | Manual, most of the time | Automatic |
| Variance identification | After matching | Immediate |
| Evidence gathering | Manual lookup per item | Attached automatically |
| Recurring variances | Re-diagnosed each time | Recognised and classified |
| Multi-site consolidation | Sequential, slow | Parallel |
| Human time | Matching, then variances | Variances only |
Where we’ve built this
- Hotels & Resorts — night audit across PMS, POS and gateway
- Accounting — client reconciliation prep and document chasing
- Franchise Networks — multi-location consolidation and royalty verification
- Restaurants — daily takings, delivery platform settlement, stock variance
Systems we integrate with
- Finance: Sage Intacct, Xero, MYOB, NetSuite, QuickBooks, Dynamics
- PMS and POS: Opera, Mews, Cloudbeds, Lightspeed, Toast, Square
- Payments: Stripe, Adyen, major acquirers and delivery platform settlement files
- Banking: open banking feeds and statement imports
How we de-risk it
- Human approval is mandatory and non-negotiable. These figures roll up to reported results. The agent reconciles, proposes and evidences; a person approves every entry. We will not build this without that gate, regardless of what a client asks for.
- Full audit trail. Every match, every variance, every proposed entry carries its reasoning and source.
- Thresholds are yours. Anything above them is flagged prominently regardless of the agent’s confidence.
- Shadow mode runs a full period. You compare the agent’s reconciliation against your team’s for a complete cycle before it goes live.
Frequently asked questions
Will it post entries automatically?
No. It prepares; a human approves. That’s a design principle, not a limitation we’re working to remove.
What about month-end and year-end?
The daily discipline is what makes period-end fast. Most of the pain at close comes from unresolved daily variances accumulating.
Can it handle multi-currency and intercompany?
Yes, with the rules configured. Complexity here is usually in the rules rather than the reconciliation.
How does it handle a variance it’s never seen?
Flags it as unrecognised with the evidence assembled. It doesn’t guess at a classification, and it doesn’t propose an entry.
Will our auditors accept this?
The audit trail is stronger than manual reconciliation, because every decision carries reasoning and provenance. Involve your auditors early — most respond well when they see the trail.
Work out what this is costing you
The calculator takes ten inputs and shows the payback band. It won’t tell you whether your systems permit the integration — that’s what the audit tests.