Case study · Accounts Payable

Unlocking 40% Cost Reduction: Real Estate Giant Leverages AI for AP Efficiency

One of the world's largest real estate firms ran an inflexible, error-prone AP process across a sprawling vendor ecosystem and outdated legacy systems. End-to-end automation delivered a 40% cost reduction alongside 55% touchless straight-through processing.

Get a result like this Original article

40%

cost reduction

Industry: Global real estate services
Footprint: 400+ offices across 60 countries
Scale: Enterprise AP, legacy integrations
Process area: Procure-to-Pay
Agents: Invoice ProcessingCase ManagementVendor ReconciliationSupplier Portal

40%

AP operating cost reduction

55%

touchless straight-through processing

90+

validations on every invoice

countries covered

01 · The situation

40% off the cost of AP, with 90+ validations on every invoice

With over 400 offices in 60 countries, the company manages buying, selling, financing, leasing, managing and valuing assets — and an AP function that had become a bottleneck.

The process was manual and error-prone, with a deluge of duplicate invoices from a large partner and vendor ecosystem.

Extensive validation requirements and integration with legacy systems made the AP framework inflexible; as volumes grew, operational costs mounted.

02 · What JiffyFinOps.ai did

Capture, indexing, validation, coding, approval routing and posting handled by the agents, with the AP team reviewing exceptions only.

Duplicate checks across entities, vendor verification, tax and currency handling, and coding against history and contract before anything posts.

The existing systems stayed in place. Agents post the result back; nothing was migrated or replaced.

Every action carries its reasoning and the rule it applied, giving auditors the same record the AP team works from.

03 · The outcome

40% cost reduction

AP cost fell by 40% while accuracy and compliance improved. More than half of invoices now flow straight through without a human touch, and the framework flexes with volume instead of adding headcount.

04 · How it rolled out