New York, NY, June 2026 – Magical, an AI agent platform purpose-built for healthcare operations and revenue cycle management (RCM), has been featured in a KLAS Emerging Company Spotlight report titled “Magical 2026: Automating Complex Healthcare Workflows Through Autonomous AI Agents.” Based on interviews with early adopters from clinic and large hospital health system environments, the report highlights Magical’s impact on workflow efficiency, billing accuracy, and operational performance. Ratings are independently verified and based entirely on feedback from actual customers.
Across all five key performance indicators measured by KLAS (likelihood to recommend, partnership, solution capabilities, supports integration goals, and would buy again) Magical received grades ranging from A- to A+.
100% of interviewed organizations reported adoption of all key functionality areas evaluated, including:
End-to-end automation complexity, including judgment-based and multistep workflows
Proven ROI through reduced manual work, faster processing, and improved financial outcomes
Rapid deployment speed, with agents going live in weeks and executing tasks in minutes
High reliability, achieving 90%+ end-to-end automation accuracy with built-in validation
Total interoperability with existing EHRs and payer portals, requiring no APIs or integrations
“Magical is an agentic functionality in the AI space that allows us to do full process automation without having too much human in the loop. We’re currently using the solution for a billing and coding scrubbing workflow. The vendor goes in and looks at the documented operation reports completed by our surgeons, and then they use the AI agents that are certified coders to review the documentation, look at the billing that our physicians have documented for that encounter, and then validate it against what has been authorized for that procedure.”
—CIO, KLAS Emerging Company Spotlight, June 2026
The KLAS Emerging Company Spotlight is designed to shed light on early customer experiences with newly emerging healthcare technology companies. The report notes that data represents early findings and has the potential to evolve as additional customer surveys are collected. KLAS interviewed individuals from 3 organizations, representing 100% of Magical’s customers eligible for inclusion in the study.
“This report reflects what we hear from our customers every day: that agentic AI, when built specifically for healthcare and deployed with real operational expertise, delivers results that generic automation simply cannot. We’re proud to be recognized by KLAS at this early stage and remain committed to expanding our platform’s reach across the full revenue cycle.”
—Harpaul Sambhi, CEO and Founder of Magical
Download the report
The full report is available to healthcare providers and payers at klasresearch.com. You can also reach out to the team at Magical to receive your free copy of the report.
About Magical
Magical is an AI agent platform built specifically for the complexity of healthcare operations and revenue cycle management. Founded in 2020 and headquartered in New York City, Magical deploys autonomous AI agents that operate directly inside existing EHRs and payer systems — no APIs or integrations required — automating high-volume, judgment-intensive workflows including billing and coding, prior authorization, patient referrals, and claims management. Magical’s proprietary healthcare intelligence layer reasons and executes like a trained healthcare professional, achieving over 90% end-to-end accuracy with built-in validation and full audit trails. The platform serves mid-market and enterprise healthcare organizations across health systems, hospitals, providers, and payers. Learn more at getmagical.com.
About KLAS
KLAS is a research and insights firm on a global mission to improve healthcare. Working with thousands of healthcare professionals and clinicians, KLAS gathers data and insights on software and services to deliver timely reports and performance data that represent provider and payer voices and act as catalysts for improving vendor performance. Learn more at klasresearch.com.