New AI capability designed to automate operational work behind pricing updates while preserving expert review and governance
PASADENA, Calif., Oct. 1, 2026 /PRNewswire-PRWeb/ -- Lender Price, a leading provider of mortgage product and pricing technology, today announced the next evolution of POD, its AI Pricing Optimization Dashboard: a human-supervised AI agent capability built to help deliver a new standard of pricing accuracy across the Lender Price Pricing Engine.
POD AI Agents are designed to learn and execute the repeatable steps Lender Price pricing teams perform when investors publish changes to rates, loan-level price adjustments (LLPAs), product eligibility, programs, and pricing specials. Working within defined guardrails and approval workflows, the agents can interpret incoming change information, prepare and validate system updates, identify exceptions, and route changes requiring judgment to Lender Price pricing professionals.
"In mortgage pricing, accuracy is not a feature — it is the foundation," said Dawar Alimi, CEO and Co-Founder of Lender Price. "POD is not about replacing the people who understand mortgage products, capital markets, and our clients' businesses. It is about giving them AI agents that can take on the painstaking, repeatable work so our experts can focus on controls, exceptions, and the decisions that deserve human expertise. The outcome we are pursuing is unparalleled pricing accuracy."
Built in phases and grounded in pricing operations
The POD initiative has progressed through multiple phases. First, Lender Price applied AI to strengthen accuracy checks and help teams surface potential pricing discrepancies sooner. It then expanded AI support for implementation work, helping organize lender data, identify gaps, and accelerate the onboarding of products, programs, eligibility rules, and investor-specific pricing.
The latest phase operationalizes that learning through AI agents trained on the step-by-step workflows used by Lender Price's pricing team. Rather than allowing unchecked automation, POD applies controls that can include source data validation, rule-based guardrails, exception thresholds, change logs, testing, and human review before production release. The goal is to make updates faster and more consistent while maintaining clear accountability.
Expected operational impact
Lender Price expects POD to materially reduce opportunities for manual entry errors and improve the consistency of routine investor updates. Initial operating targets include:
- Up to 90% reduction in manual touchpoints for eligible, repeatable rate sheet and pricing update workflows.
- Up to 75% faster preparation and validation of routine LLPA, pricing special, and program updates, with exceptions routed to an expert.
- At least 99.9% change traceability coverage for POD-processed updates through source linkage, validation records, approvals, and audit logs.
- A meaningful reduction in preventable configuration errors, including accidental keystrokes, transposed values, or missed eligibility conditions, through structured extraction, validation rules, and controlled release workflows.
These are forward-looking operating targets, not historical customer performance results. Lender Price will validate and publish measured outcomes as POD deployments mature.
Accuracy at scale with experts in control
POD's design recognizes that mortgage pricing does not operate in a vacuum. Investor guidance can vary in format and complexity, and real-world updates often require contextual interpretation. POD AI Agents are intended to handle the high-volume, repeatable work while escalation paths preserve human oversight for ambiguous guidance, unusual product structures, and changes that merit additional scrutiny.
The result is a pricing operation that can respond more quickly to investor changes without sacrificing the controls lenders expect. By reducing repetitive manual work, POD enables Lender Price's pricing experts to devote more time to quality assurance, edge cases, strategy, and client-specific needs.
"The future of POD is a more accurate, more resilient pricing operation," Alimi added. "Our people remain essential. AI agents make their expertise more powerful by helping ensure that every update — from an LLPA change to a pricing special or eligibility rule — is handled with discipline, visibility, and speed."
POD is part of Lender Price's broader AI strategy, which applies AI where it can improve implementation efficiency, strengthen pricing quality controls, and help lenders move with greater confidence in a fast-changing market.
About Lender Price
Lender Price delivers superior cloud-native and AI-driven pricing technology to top banks, lenders, credit unions, and mortgage brokers. Built on a modern technology stack, our solutions are user-friendly, configurable, and easier to integrate, resulting in improved workflow and pricing efficiencies. Lender Price's advanced technology, combined with its deep understanding of the lending landscape, sets it apart from the competition. By leveraging artificial intelligence, machine learning, and data-driven insights, Lender Price equips lenders with the knowledge and resources to make informed decisions and drive growth. Recognized by top industry publications, our award-winning pricing, product and eligibility (PPE) platform continues to lead the industry in advancing capital markets and mortgage pricing technology. Visit us at https://lenderprice.com/ for more information.
Media Contact
Erika Deer, Lender Price, 1 626-486-0171, [email protected], https://lenderprice.com/
SOURCE Lender Price
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