READY-TO-DEPLOY AI AGENTS
Automate patient enrollment with agentic AI
Streamline intake and registration with an AI employee that collects, verifies, and enters patient information—so your staff doesn’t have to.
Human employees shouldn't be enrolling patients by hand…
Manual data entry overload

Staff spend hours copying demographics, insurance details, and consent forms across multiple systems.
15–30 minutes per new patient
Delays in care and scheduling

Missing or inaccurate info causes bottlenecks in scheduling, billing, and treatment plans.
49.7% of denials stem from front-end problems
Front desk burnout

Repetitive tasks lead to overwhelmed teams and high turnover—especially during volume spikes.
Hundreds of hours lost monthly to intake work
Use agentic AI to enroll patients—accurately, instantly, and 24/7
This agent is pre-trained to run the entire authorization workflow. Deploy once on your systems, and it continuously processes incoming requests.
Automate intake form processing
Magical reads digital or scanned intake forms and enters patient data directly into your EHR, PM, or CRM systems—automatically.
Catch missing fields, invalid entries, or outdated insurance before they create downstream issues.
Magical ensures required forms (consents, ID, insurance cards) are uploaded and logged—no chasing patients or scanning required.
All patient data is processed locally with zero storage of protected health information, ensuring complete security and compliance.


Step 1: Book a demo
See Magical in action and scope out your current patient enrollment processes for automation.
Measurable results for your revenue cycle
5X
Faster onboarding
Complete enrollment in minutes instead of hours
60%
Fewer intake-related errors
Ensure clean records from the start—no downstream clean-up required
250+
Hours reclaimed per month
Let staff focus on patient experience, not form-filling
50%+
Fewer denials
Eliminate the #1 cause of delayed billing: incomplete or inaccurate enrollment data
Works across your existing healthcare systems



























