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.”
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.
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