Blend Autopilot Analytics Agent now generally available, providing lenders real-time visibility into borrower activity and lending performance. Blend Autopilot Analytics Agent allows teams to see every stage of the loan journey. Furthermore, the Blend Autopilot Analytics Agent allows lenders to spot problems early and optimize lending outcomes before a loan closes.
The AI-based solution enables lenders to ask questions in plain English and get instant insights from their Blend point of sale (POS) data. This allows organizations to identify bottlenecks, track conversion rates and troubleshoot issues as applications move through the lending pipeline.
Traditionally, lenders have relied on reports, spreadsheets and dashboards generated by analysts that often arrive weeks after critical business decisions have been made. But every interaction with a borrower produces valuable signals in the lending process. Unfortunately, many organizations can’t get to these insights quickly enough to have a positive impact on either the customer experience or loan performance.
The Autopilot Analytics Agent changes that by turning natural language questions into interactive dashboards, benchmarks and automated alerts in seconds. So lending teams can react to conditions as they change with loans in place, rather than waiting for historical reports.
Blend Provides Lenders Real-Time Pipeline Visibility
Blend’s network data reveals that only 60% to 70% of retail mortgage application starts are actually submitted. But even so many lenders still do not know where the applicants are falling off. Even when acquisition costs have already been sunk, those borrowers often disappear before they ever hit traditional pipeline reports.
Blend Autopilot Analytics Agent gives lenders real-time visibility into the pipeline across all stages of the application. In addition, users can track borrower activity, track stage-to-stage conversions, identify stalled applications and measure drop-off rates from application through loan closing.
The platform also provides proactive monitoring with automated threshold alerts. Users receive instant notifications via email, Slack or Microsoft Teams every time significant lending metrics change. This allows teams to respond faster to operational issues.
And lenders can compare loan officers and branch performance internally, and benchmark results against anonymized peer groups across Blend’s broader network. The platform also features collaborative dashboards that enable users to create, customize, schedule, save and share reports using lending-specific templates.
POS Data Transformed Into Actionable Business Intelligence by AI Agent
The Autopilot Analytics Agent is integrated directly with the lender’s Blend POS platform. This enables users to ask questions in natural language and get charts, dashboards and business insights.
Teams can easily understand the time it takes to complete an application, the best lead sources, operational bottlenecks, and borrower satisfaction across products, branches, regions, and loan officers. This insight also enables lenders to make faster, data-driven decisions throughout the customer journey.
Blend processes approximately $1.3 trillion in loan applications per year and has supported over 50 million consumer loan applications in almost 15 years of operations. The company captures borrower activity at the earliest stage of the lending funnel, so it measures behaviors before submission occurs. This gives lenders a better understanding of application friction, funnel health and borrower engagement.
These data-driven insights serve as benchmarking for individual lenders and also provide broader industry context through Blend’s customer network.
“Seeing your business should be as immediate as running it. The analytics agent gives lenders the visibility of a network that powers one in six U.S. mortgages, in time to act on it,” said Nima Ghamsari, Co-founder and Head of Blend.
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News Source: Businesswire.com
