A finance team builds an AI business case the CFO can defend.

A full-service REIT with $40B in managed real estate assets had introduced AI across invoice processing, reconciliations and reporting. Its finance organization supported property operations, development and central services across multiple entities. The CFO needed to understand how faster tasks translated into lower costs, stronger payment controls and capacity for the next stage of growth.

AI usage was growing, but the financial result was unclear.

The finance team used AI for invoices, reconciliations and reporting. Individual tasks were faster, but the overall result was harder to establish across property teams, development projects and central finance. The CFO needed a view of completed work and the costs that actually changed.

Were reviewers repeating the checks? Had work moved to another team? Did cases finish sooner, or just reach the same queue faster?

The AI team needed answers it could defend, not another usage dashboard.

Define success before changing the process.

Mason mapped cases from receipt to completion. It recorded handling time, waiting, corrections, volume, and the people involved. Routine and complex cases were assessed separately.

Finance and Mason agreed on the test: lower cost per completed case, a shorter cycle and review quality that held up. Technology, support and remaining human work all counted. The business case distinguished reduced spending from staff capacity and identified which entity received each benefit.

Find the work automation left behind.

The first release processed documents faster, but the improvement to the overall process was smaller than expected.

Interviews with the team explained why: reviewers still reopened files to check the evidence, some maintained a second spreadsheet, and cases waited for someone to take responsibility for the next step.

Combining process data with team interviews helped Mason understand both where work stalled and why.

Mason fixed the remaining bottlenecks and measured the change.

Mason put evidence beside each recommendation, clarified ownership of exceptions and matched notifications to how the team worked. Reviewers could connect invoices to approved terms and payment history. Redundant tracking was removed once the new process covered its purpose, creating a basis for retiring overlapping tools and integrations.

Required approvals stayed in place, but reviewers no longer needed to reconstruct the evidence just to understand or check a recommendation.

Mason compared the revised process with the baseline and first release. Leadership could decide what to expand, repair or stop. The financial assessment connected those decisions to covered supplier payments, eligible discount terms, outside support budgets and distinct internal workloads.

ROI

Estimated annual value is $7.5M across $4B in supplier payments: $6M in cash benefit and $1.5M in staff capacity. The estimate excludes loan principal, acquisitions, distributions and internal transfers, and is before remaining implementation and operating costs.

Each benefit is counted once. Discounts are net of funding costs, and software savings are net of replacement costs. Staff capacity is time returned to the team, not a payroll reduction.

50% less invoice-approval time

The finance team cut invoice-approval time by 50%. Bringing evidence, ownership and the next action into one workflow reduced waiting as well as document-processing work. Required approvals stayed in place.

70% fewer reopened cases

Cases reopened for missing information or corrections fell by 70%. Complete evidence and clear exception ownership helped reviewers finish work without returning to the same files. Legitimate escalations remained available, and released hours are counted once in the financial breakdown.