Mortgage lenders, banks, and financial services companies run on systems built for compliance, not speed. Encompass for loan origination. MeridianLink for lending decisions. Core banking platforms that predate the smartphone. Carrier portals and government websites that change without notice.

The manual work connecting these systems is staggering: copying borrower data from broker submissions into the LOS, classifying 50-page loan packages by document type, extracting appraisal values, running initial disclosures through DocMagic or DocuTech, cross-referencing income documents. At scale, this work consumes dozens of FTEs and still produces errors.

Traditional RPA struggles here. Encompass and MeridianLink are complex desktop and web applications that don't expose stable selectors. Broker document packages arrive in unpredictable formats. And when any system updates (which happens quarterly), selector-based bots break.

Automat's AI agents interact with loan origination systems, banking platforms, and document packages the way your operations team does: by seeing the screen and understanding what's there. They navigate Encompass, MeridianLink, and core banking visually. They read broker packages without per-document templates. And they adapt when systems update.

What we automate for financial services

Initial disclosures

Detect trigger events, validate line items against loan parameters, package and send via DocMagic or DocuTech, confirm receipt, and log status changes in the LOS. What previously required a processor touching 4-5 systems per loan is automated end-to-end.

Broker document classification and indexing

Broker packages arrive as 30-50 page PDFs containing mixed document types: pay stubs, tax returns, bank statements, W-2s, appraisal reports. Automat splits packages by document type, classifies each, routes to the appropriate workflow, and flags missing or non-compliant items. No per-broker template training required.

Appraisal data extraction and LOS population

Extract property values, dates, adjustments, and vendor IDs from appraisal PDFs (1004, 2055 forms). Auto-populate corresponding fields in Encompass or MeridianLink. Flag exceptions for human review when confidence is below threshold.

Credit dispute resolution

Process credit disputes by pulling data from credit bureau portals, validating dispute details against loan file documentation, and initiating resolution workflows. Automate the back-and-forth that currently requires manual portal navigation for each dispute.

KYC/AML verification

Pull verification data from multiple sources (state databases, OFAC lists, identity verification services), cross-reference against application data, and populate compliance documentation. Automat handles the multi-source research that compliance teams do manually for each applicant.

Why financial services teams choose Automat

• Works on Encompass and MeridianLink: Visual interaction means no dependency on scripting access or stable selectors. Works with any LOS configuration including custom fields and workflows.
• Broker documents handled natively: Mixed-format packages processed without per-template training. The same AI that navigates the LOS also reads and extracts from documents.
• Deployed in days: Share a screen recording of the workflow. Forward-deployed engineers build and deploy. No 6-month implementation. No system integration project.
• Managed service: Automat builds, runs, and maintains the automations. No automation developers to hire. No Center of Excellence to fund.
• Compliance-ready: SOC 2, HIPAA, GDPR, ISO 27001. Full audit trails. Designed for regulated environments.

Results

• AmeriTrust (mortgage lender): 80% reduction in cost per loan processed. Automated initial disclosures, broker document classification, and appraisal data extraction.
• Top bank: 7 figures saved annually by automating mortgage application review process. Full case study.
• Processing speed: Loan documents that took 15-20 minutes of manual handling process in under 2 minutes per document.
• Scale: Handles volume spikes during rate changes and refinancing waves without additional headcount.

How it works

1. Share your workflow. Send 20-30 sample files or record how your team processes a loan. An SOP or screen recording is enough to get started.
2. We build and deploy. Forward-deployed engineers configure extraction and workflow steps, define accuracy thresholds, and deploy within days.
3. It runs and adapts. The automation processes loans continuously, adapting when Encompass updates or broker formats change. Our team handles edge cases.

Talk to our team about your lending operations or see the platform in action.

Frequently asked questions

Does Automat work with Encompass?

Yes. Automat interacts with Encompass visually, navigating screens, populating fields, and triggering workflows the same way a loan processor would. It works with any Encompass configuration including custom fields, business rules, and input forms. No Encompass SDK or API access required.

Can this handle the variety of broker document formats?

Yes. Broker packages come in every format: typed PDFs, scanned documents, photos of documents, mixed-page packages. Automat's vision language models understand document structure from context rather than template matching. No per-broker or per-document-type training required.

How does this compare to Ocrolus or other mortgage IDP tools?

Ocrolus and similar tools handle document extraction only. After extraction, you still need someone (or another tool) to enter data into Encompass, trigger workflows, and handle exceptions. Automat does both: extracts document data AND operates the LOS. One platform instead of two. See why standalone IDP isn't enough.

Is this compliant for mortgage lending?

Yes. SOC 2, HIPAA, GDPR, ISO 27001 certified. Full audit trails for every action. Designed for regulated financial services environments where compliance is non-negotiable.

What's the typical deployment timeline?

Initial workflows (e.g., document classification, single extraction workflow) go live in 1-2 weeks. Full end-to-end loan processing automation typically deploys in 3-5 weeks.