The Strategic Question
The debt-sale process remains vulnerable to avoidable delays that cost dealmakers time and create uncertainty for sellers and buyers. We asked industry principals to consider one question:
“What is the biggest debt-sale friction point that AI or standardization could help solve by 2026?”
The responses below are independent market perspectives. They are not guarantees of performance, endorsements by Fitzgerald Advisors, or substitutes for transaction-specific diligence.
Adopt Consistent Templates Across Documents
Debt-sale paperwork becomes difficult when participants work from different documents and definitions. Consistent templates can reduce avoidable reconciliation, clarify required fields, and make closing requirements easier to track. AI may help organize information when the underlying standards are clearly defined.
— Edward Piazza, President, Titan Funding | LinkedInNormalize Portfolios Through Industry Standards
Inconsistent fields, incomplete documentation, and manual normalization can slow diligence and increase pricing uncertainty. A combination of standardized portfolio frameworks and automated cleansing or validation could improve comparability, subject to human review and source-data quality.
— Anupa Rongala, CEO, Invensis Technologies | LinkedInUnify Lease Abstraction for Lenders
Commercial real-estate transactions can stall when lease and property information must be reviewed manually across large diligence packages. Structured extraction and review tools may help lenders organize lease data more consistently, but outputs still require source verification and professional underwriting.
— Arthur Putzel, Principal & Broker, Trout Daniel & Associates | LinkedInProduce Deal-Ready Financials More Efficiently
Financial records are often difficult to compare during diligence. Automated anomaly detection and standardized reporting may help identify inconsistencies earlier and prepare a more organized package, while accounting and compliance professionals remain responsible for review and judgment.
— Michael J. Spitz, Principal, SPITZ CPA | LinkedInRestore Confidence Through Automated Checks
Trust can be delayed when seller tapes are inconsistent, poorly documented, or missing context. Automated validation can flag anomalies and normalize fields before a portfolio is marketed, helping teams focus human review on exceptions and material risks.
— Daniel Kroytor, CEO, TailoredPay | LinkedInAnchor Credibility to Source-Linked Records
Buyers often begin with questions about where the data came from and whether it can be reconciled. Source-linked records, clear audit trails, and exception reporting may reduce the early mistrust phase and help the parties move more quickly to pricing and structure.
— Abhinav Gupta, Founder, Profitjets | LinkedInThe Advisor’s Mandate: From Intelligence to Execution
These perspectives point to a practical conclusion: AI can help process, validate, and organize information, but it does not replace transaction judgment. A reliable debt-sale process still requires someone to define the market, protect confidential information, evaluate counterparties, negotiate structure, and make decisions when the data is incomplete or contradictory.
Fitzgerald Advisors’ Off-Market Protocol is designed around that combination of structured information and human execution. Tools such as the Debt Catalyst™ engine may support a consistent view of portfolio information, while advisors remain responsible for the strategic context, buyer dialogue, diligence decisions, and transaction pathway.
Engage the Architects of the Off-Market
Discuss how an intelligence-driven process can support your next strategic debt disposition, portfolio review, or buyer-screening effort.
Request a Confidential ReviewEditorial disclaimer: The statements attributed to outside contributors are presented as expert perspectives and may reflect forecasts or opinions. Fitzgerald Advisors does not guarantee the results of AI, standardization, data normalization, or any transaction process. Verify claims, sources, technology outputs, and professional advice before acting.