Use Cases

Built for the teams drowning in loan docs

Regional banks, independent brokers, and high-volume loan officers. Maestro fits where your process breaks down.

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Regional bank mortgage departments

Compliance-first workflows, multiple underwriters reviewing the same documents, backlog pressure at peak purchase season. Regional banks carry the full regulatory weight of origination at volume. Maestro reduces per-file review prep time so your team handles higher volume without expanding headcount.

  • Document extraction ready before the file enters the underwriting queue
  • Confidence scores surface files that need a second look early
  • Pre-UW report formatted for underwriter consumption, not re-keying
  • JSON export and REST API for integration with existing LOS platforms
  • Enterprise plan includes dedicated SLA and LOS integration connectors
4-8 hrs
active staff time per file before underwriting review, industry average
1 in 3
files return from underwriting with at least one condition from documentation gaps

Maestro targets reducing document-review prep time. Final credit decision stays with your licensed underwriters.

Independent mortgage brokers

Lean teams submitting to multiple wholesale lenders, same documents packaged differently per lender checklist. Every submission means reformatting, re-keying fields, and chasing borrowers for the same gaps that appear again and again. Maestro extracts once and surfaces what each submission needs.

  • Full extraction from a single upload, no document re-processing per lender
  • Missing-document checklist catches gaps before submission, not after the condition letter
  • JSON export gives you structured data to fill lender submission templates
  • Starter plan at $499/month covers the volume range of most independent brokerages
  • No per-seat pricing: your processors, assistants, and loan officers all included
2-4
lender submissions per file on average for independent brokers, each with different checklist requirements
$9.98
per loan on the Starter plan at 50 loans/month, well below the labor cost of manual extraction

High-volume loan officers

15 to 20 active files at any time, no dedicated processor on staff. Every file means manual document review before it can go to underwriting. Maestro acts as your first-pass processor: extracting fields and flagging gaps before the file goes forward, so conditions come back fewer and faster.

  • Handles document intake while you focus on borrower relationships and closings
  • Flags missing pages and low-confidence fields before you submit to underwriting
  • Pre-UW report tells you exactly which items need your attention and where they came from
  • Works with the document types borrowers actually send, including scanned PDFs and phone-photographed statements
15-20
active files a typical high-volume loan officer manages at any point in the pipeline
60%+
of pre-underwriting time spent on document review rather than credit evaluation, industry estimate

Enterprise correspondent lenders

High-volume pipelines, multiple origination channels, need data consistency across channels. Enterprise deployments require custom LOS integration connectors, SLA commitments, and pricing that reflects volume rather than seat count. Contact us to discuss your pipeline and what integration looks like for your stack.

  • Custom LOS integration connectors for enterprise platforms
  • Dedicated implementation support during onboarding
  • SLA with uptime commitment and response time guarantee
  • Volume-based pricing negotiation for high-volume origination pipelines
  • Compliance workflow documentation for your audit trail
Talk to us about enterprise
Unlimited
loan volume on the Enterprise plan. Custom per-loan pricing for high-volume pipelines.

Maestro integrates with your existing LOS as a pre-underwriting layer. We do not replace your LOS or your underwriting team. Final credit decisions remain with your licensed underwriters.

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See how Maestro fits your origination workflow

Tell us about your loan volume and document types. We will show you what extraction looks like on a real file.

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