Commercial real estate (CRE) firms are under constant pressure to grow portfolios, manage more properties, and meet investor expectations, all without ballooning overhead. One of the most common bottlenecks during growth phases is accounts payable (AP). As invoice volume rises, manual AP processes struggle to keep pace, leading to delays, errors, and overworked staff.
For years, the default solution to scaling AP was straightforward: hiring more staff. While effective in the short term, this approach quickly becomes unsustainable. Recruitment, onboarding, and training adds costs and slows momentum. Turnover only compounds the challenge, forcing firms into a cycle of continuous hiring. Ultimately, business scalability often becomes staffing dependent, leaving growth subject to labor shortages, qualified candidates, and rising wages.
Artificial intelligence changes the equation. By automating time-consuming tasks like invoice capture, coding, and approvals, AI can effectively double processing capacity without additional headcount.
Instead of hiring another AP associate, firms can process more with the team they already have. For example, PEG Companies recently reported an 125% increase in invoices processed after deploying AI-driven AP automation, without adding any new hires. This kind of force multiplication enables firms to scale seamlessly while keeping costs stable.
Additional Operational Benefits
The benefits of AI in AP go well beyond faster invoice handling and include myriad additional advantages, including:
In CRE, scaling efficiently is no longer about adding people. It’s about creating smarter workflows. AI solutions enable firms to grow portfolios, improve accuracy, and support their teams without ballooning overhead. The firms that adopt AI-driven AP automation aren’t just keeping pace with growth. They are setting the standard for operational efficiency across the real estate industry.