READY-TO-DEPLOY AI AGENTS
Automate loan application processing with agentic AI
Speed up approvals, reduce errors, and handle higher volume—without hiring—by giving your loan operations team an AI employee.
Your team wasn’t hired to copy-paste W-2s all day…
Manual reviews

Teams spend hours extracting data from loan applications, verifying documents, and toggling between systems.
30–90 minutes just to prep one application for underwriting
Errors and omissions

Missing or miskeyed data delays approvals, frustrates borrowers, and increases drop-off.
Loan abandonment rates spike when turnaround takes more than 1–2 days
Volume spikes

Every product launch, promo, or rate drop floods your queue—burning out staff and bottlenecking decisions.
Teams can’t scale fast enough to meet demand
Let agentic AI handle your loan intake and prep—start to finish
This agent is pre-trained to run the entire authorization workflow. Deploy once on your systems, and it continuously processes incoming requests.
Verify application data automatically
Magical reads loan applications, tax forms, pay stubs, bank statements, and IDs—validating them in seconds.
No more dual entry. Magical pushes clean, verified data into your LOS, CRM, or internal databases—error-free.
Catch missing fields, unsupported income, credit issues, or document mismatches before underwriting sees the file.
Your team stays focused on judgment calls and complex deals—not routine validation or data entry.


Step 1: Book a demo
See Magical in action and scope out your current loan application processes for automation.
Measurable results for underwriting and operations teams
5–6x
Faster loan file prep
Applications that took 30 minutes now take 5.
80%
Fewer data entry errors
Accurate, consistent files go straight into underwriting.
300+
Hours per month reclaimed
Free up your team to focus on judgment, compliance, and customer experience.
90%+
Reliability on end-to-end workflows
With complete audit logs of every single automation.
Works across your existing healthcare systems



























