Case study · Record-to-Report
From Chaos to Clarity: How AI Transformed Financial Close for a Leading REIT
A top REIT managing retail, industrial and mixed-use residential properties reconciled 95+ GL accounts by hand every period. AI-driven matching and continuous validation cut reconciliation time in half and carried 75% fewer errors into the close.
50%
faster, 75% more accurate close
- Industry
- Real estate investment trust
- Footprint
- North America
- Scale
- 95+ GL accounts · thousands of daily transactions
- Process area
- Record-to-Report
- Agents
- Reconciliation (GL)Journal EntryClose ManagementReporting
50%
less time on reconciliations75%
fewer errors carried into the close30%
more volume with the same team95+
GL accounts reconciled continuously01 · The situation
A close that runs on matched data, not heroics
The Finance and Accounting team managed a diverse property portfolio with high transaction volumes flowing through 95+ general ledger accounts.
Transaction matching was manual. Analysts worked line by line across bank, sub-ledger and property-management feeds, and the periodic close depended on late nights at month-end.
There was no real-time view of where the close stood. Issues surfaced when a reconciliation failed, not when the transaction landed.
02 · What JiffyFinOps.ai did
The Reconciliation Agent matched transactions across bank statements, sub-ledgers and the GL continuously through the month, proposing matches with a confidence score and explaining every open difference.
Rules and learned precedent ran on every item before it reached a person — duplicate detection, tolerance checks and account-level sanity checks.
The close became visible while it ran: which accounts were reconciled, which were open, and who owned the difference.
The team reviewed only what the agents could not settle from history. Every decision they made was recorded as precedent for the next period.
03 · The outcome
50% faster, 75% more accurate close
Reconciliation time halved, error rates fell by three quarters, and the same team absorbed 30% more volume month after month. The close moved from a five-day scramble to a process that is largely done before day one.
04 · How it rolled out
Discovery
Account inventory, matching rules and the close calendar mapped in the first workshop.
Connect
Bank, sub-ledger and GL feeds connected; no data migration.
Run with review
Agents matched continuously with a conservative confidence line; the team reviewed every exception.
Raise the line
Autonomy widened account by account as the agents' record became clear.
Deployment phases follow the published connect → configure → run model; headline outcomes are as published for this customer.
More proof
Other finance teams that made the same move
70%
faster AP, 30% higher DPO
Freight forwarding & logistics · Multi-vendor, multi-location AP
Read the case study Accounts Payable40%
cost reduction
Global real estate services · Enterprise AP, legacy integrations
Read the case study Accounts Payable85%
straight-through processing
Automotive manufacturing · 150,000 invoices a month · 5,000 suppliers
Read the case studyNext step
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