"Ask Aiva changes that by allowing users to ask questions of their origination environment and receive answers they can act on, with the ability to trace those answers back to the source."
"Unlike many generic AI chat tools, Ask Aiva is integrated directly into the LOS workflow and is focused on a lender's own data and configuration."
"That audit trail is intended to address common compliance and risk concerns about opaque AI outputs particularly in a heavily regulated mortgage environment where lenders must be able to show how decisions and metrics were derived."
"As one of the first AI experiences woven into the fabric of a mortgage LOS and deployed at scale, it gives lenders the ability to trace every answer back to its source, all within the system where they already work."
Ask Aiva allows lenders to query their origination environment and receive actionable answers, tracing responses back to their source. Built on retrieval-augmented generation architecture, it retrieves relevant data in real time and generates natural language responses. Unlike generic AI tools, Ask Aiva integrates directly into the loan origination system workflow, focusing on a lender's specific data. It addresses compliance concerns by providing an audit trail for decision-making processes and serves as an embedded support layer, reducing training overhead and speeding up feature adoption across teams.
Read at www.housingwire.com
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