Mortgage Document Automation: Close Loans Faster & Accelerate Revenue

See how lenders are using AI to automate document classification, extraction, and validation, so underwriters can focus on decisions, not paperwork.

What You’ll Learn

Reduce case processing time from days to hours with AI-driven automation
Achieve up to 99.5% accuracy when extracting data from payslips, bank statements & employment records
Stay compliant with FCA and UK GDPR using policy-based validation & audit trails
Handle higher volumes without increasing underwriting capacity
Automate the full document lifecycle end to end from ingestion and classification to validation, tracking, and delivery into LOS or CRM
Go live quickly and achieve ROI in weeks with no complex technical setup

Speakers

Kelly McCabe

Managing Director,The Mortgage People

Ayesha Amjad

Founder & CPO at Docspire | AI Advisor & Consultant

Ayesha Amjad is an AI Product Architect, researcher, and product leader specializing in enterprise AI for invoice automation, document intelligence, and workflow automation. She has led the development of award-winning, revenue-generating AI products, including intelligent document processing solutions that help finance teams extract, validate, and process invoices across PO and non-PO workflows with high accuracy. Ayesha also drives AI strategy and execution across global teams and is a published researcher in agentic AI and reinforcement learning systems.

Still Exploring Mortgage Document Automation?

Looking to speed up underwriting and reduce manual work?

Why Watch This webinar

Mortgage teams handle thousands of pages per loan, from pre-qualification to closing. Manual document review slows underwriting, introduces errors, and increases compliance risk.

In this on-demand session, Ayesha Amjad, AI Product Architect and Mortgage Document Processing Expert, and Kelly McCabe, Managing Director at TMP The Mortgage People, share how lenders are transforming document processing using AI-driven automation.

See how Docspire can automatically classify document bundles, extract key fields with context, validate against your business rules, and deliver structured data directly into your LOS and downstream systems.

Whether you’re working with standard applications, Right to Buy cases, BTL portfolios, or self-employed borrowers with complex income, this approach is built to handle real-world document complexity.

The result: faster decisions, stronger compliance, and a smoother borrower experience.