Equifax Inc. announced the launch of Equifax Ignite®? AI Advisor, a new solution designed to help lenders pinpoint new opportunities, grow accounts, and make confident informed decisions at speed on one platform. Powered by a secure Agentic-AI enabled data and analytics engine on the Equifax Cloud??, Equifax Ignite AI Advisor is built with Equifax Amplify AI??.
Part of a growing suite of Equifax AI-enabled solutions and new to the Equifax Ignite ecosystem, EquifaxIgnite AI Advisor has been purpose-built to empower busy lenders to quickly build comprehensive, actionable views of what matters most to their business by forgoing the everyday complexities associated with data and analytics. Equifax Ignite AI Advisor uses a lender's own data, alongside data provided by Equifax, to create clear, actionable insights that drive more-informed decision-making. These insights are secure and not shared outside of the lender's own view.
Through a no- setup consultative experience, the solution delivers support for smaller and mid-sized financial institutions that may have limited access to dedicated data-scientists. Using natural language, Equifax Ignite AI advisor recommends actions a lender can take to resolve a potential issue, drive growth, or otherwise optimize lending workflows and outcomes. Equifax Ignite AI advisor enables lenders to: Benchmark Against the Competition - Compare key metrics like delinquency against peers, origination risk changes over time, and market share relative to peer performance.
Find Growth Opportunities - Get practical recommendations for actions to take based on intelligence into wallet share and performance against peers. Make Confident Decisions - Ask questions through a generative AI chat with complementary visual dashboardrations, dynamic charts and graphs, to easily compare information, discover new trends and create new offers for consumers. Level the Playing Field - Obtain curated AI-driven insights that can benefit small and mid-sized financial institutions who may have limited access to in-house data scientists.

















