Join us at RETCON 2026 to Hear How AI Turns Messy Data Into Momentum

In today’s hyper-competitive real estate market, data isn’t just an asset, it’s the foundation of smarter decisions, stronger client relationships, and scalable growth. Yet for far too many, the promise remains unrealized because most real estate professionals are sitting on messy, fragmented, and under-leveraged data that hinders performance more than it helps.

On Tuesday March 10 at 11:35am at RETCON 2026 in Las Vegas, David Stifter, CEO and Founder of PredictAP, will explore this challenge in his session, “Your Data Is Messy. That's Not The Problem.” His focus is especially relevant for real estate finance, accounting, and operations leaders who know their data is messy, but don’t want to delay digital transformation. 

David will be joined by Tom Scott of PATHS Management, a real estate transactions leader with over 30 years of experience in CRE finance and accounting. A specialist in due diligence, Scott will provide real world insight on the dangers of messy data, and attendees will come away with insight on smart ways to begin improving business processes.

Interested in learning more about how AI can streamline your AP workflow? Request some time on the ground.

The Hidden Cost of Messy Financial Data

Accounts payable and financial records sit at the center of every real estate organization. They reflect vendor relationships, operating expenses, capital projects, compliance, and cash flow. Yet many teams struggle with:

• Inconsistent invoice data and vendor coding
• Manual coding and reclasses
• Limited visibility into spending patterns
• Delayed closes and audit stress
• Decisions based on incomplete or erroneous data

When financial records are messy, organizations lose confidence in their numbers, and that uncertainty ripples outward, affecting forecasting, budgeting, and strategic planning.

How AI Creates Clarity From Complexity

AI excels where traditional systems fall short. Good AI can learn from variation, surface risk and opportunity, and improve data quality over time, even when it’s messy, allowing for transformation without waiting for perfection. Instead of forcing teams to clean and normalize financial data by hand, AI can:

• Automatically extract and standardize invoice data
• Learn changes to GL coding patterns over time
• Surface anomalies, duplicates, and risk signals
• Reveal spending trends across properties and portfolios
• Turn raw AP data into usable, decision-ready insight

The outcome isn’t just efficiency. It’s trustworthy financial intelligence that leaders can act on faster and with greater confidence. AP is the source of >50% of all accounting data. Any improvement during input will have a positive compounding impact with each subsequent step.

Mark Your Calendars, Thank Us Later

In an environment of rising costs, tighter margins, and increased scrutiny, real estate professionals can’t afford for their financial records to be an obstacle. Clean, structured, and intelligible financial data enables better vendor negotiations, smarter budgeting, faster closes, and more strategic growth.

Stifter’s RETCON session will help attendees see their financial data differently, not as a necessary administrative burden, but as a powerful asset for digital transformation once AI is applied correctly. For anyone responsible for AP, accounting operations, or financial oversight, this is a conversation about turning financial noise into forward momentum.

Miss the speaking session? Find PredictAP at Booth 308. Email fmchugh@predictap.com to schedule a time on the ground!