What would your AI do if it truly understood your loan data?
Most lenders have already invested in AI. But their data still sits across CRM, point-of-sale, pricing, LOS, underwriting, servicing and accounting systems, duplicated in some places, conflicting in others and described differently in each. Without a common foundation, AI is left to guess, and the results are generic, inconsistent, or hard to trust.
In this session, Tavant’s experts will walk through how a unified, AI-ready data foundation changes that. You’ll see how long-standing data challenges connect directly to today’s agentic AI use cases, and how lenders can start small, with one domain and one-use case, and build from there.
Register Now
Speakers
Laxmikant Karlekar
Matthew Wood
Key Takeaways
Why AI needs context, not just more data
Understand why many mortgage AI initiatives stall, and why the missing ingredient is usually context rather than models.
One trusted view of your mortgage data
See how bringing siloed data together and reconciling duplicates and conflicts creates a single, governed source of truth.
The role of a mortgage ontology
Learn how an ontology defines how loans, borrowers, properties and processes relate, so AI can reason about your business the way your teams do.
From data foundation to agentic AI
Explore how a unified foundation powers agentic workflows, conversational queries and next-best-action insights.
A practical path to get started
Hear how lenders can begin with one domain and one-use case on their existing cloud data platform, without replacing source systems.
About Mortgage Data Foundry
Tavant’s Mortgage Data Foundry brings data from across the mortgage lifecycle into one unified, AI-ready foundation. By organizing that data around a shared mortgage ontology, it gives AI the context it needs to deliver more accurate, relevant and productive results, and turns traditional data challenges into a platform for agentic AI.
Configuration-Driven Connectors
Bring data from across your mortgage enterprise systems without heavy custom integration.
Canonical Mortgage Data Model
Reconcile conflicting records into one consistent model anchored to MISMO standards.
Mortgage Ontology Layer
Define how mortgage entities relate, giving AI the business context it needs.
Governed, AI-Ready Access
Serve trusted data through dashboards, conversational queries, and MCP-compliant endpoints.
Who Should Attend
Roles
- Chief Data, Technology and Information Officers
- AI, analytics and data leaders
- Digital transformation and innovation leaders
- Mortgage operations leaders
- Secondary marketing and capital markets leaders
- Product and strategy executives
- Enterprise architecture and IT leaders
Industries
- Banks
- Independent mortgage banks
- Credit unions
- Regional lenders
- Mortgage servicers
- Financial services organizations
Insights
Ready to Give Your AI the Context It Needs?
Join us on November 19 to see how Mortgage Data Foundry turns fragmented lending data into an AI-ready foundation, and how your teams can start putting it to work.
FAQs
This webinar explores how AI Agents help manufacturers and service providers price every service contract on its true cost to serve, protecting margin at quote time and keeping customers at renewal.
Why AI in mortgage lending needs context to perform, and how Mortgage Data Foundry provides it by unifying siloed data and organizing it around a shared mortgage ontology.
No
60 minutes, including live Q&A.
Laxmikant Karlekar, CTO, Fintech AI, and Matthew Wood, Senior Director, Fintech AI, Tavant.
No. Mortgage Data Foundry connects to your existing systems and runs on your existing cloud data platform. It does not replace your source systems.
It runs on platforms such as Microsoft Fabric, Snowflake and Databricks, on AWS, Azure or GCP.
The recording will be shared with registered attendees after the session.
Yes. Email at [email protected] to book a session with our team.