Readilypricing, plans and limits

Last updated: 2026-08-27

Readily is an AI-native compliance platform built for US healthcare payers and health plans, founded in 2023 by ex-Microsoft AI and AthenaHealth engineers. It analyzes audit requirements, drafts regulatory redlines, and monitors delegate data, with one customer reporting a jump from 20 to 150 audits conducted annually.

About Readily

Readily is an AI-native compliance platform built for healthcare payers and health plans, made by Pandan, a company founded by Edward Tiong and Ihsaan Patel after they spent years automating healthcare backend operations at AthenaHealth, Akasa, and Microsoft AI. The product targets a specific, expensive problem: healthcare compliance teams manually cross-referencing regulatory updates against internal policies, audit requirements, and delegate contracts, a job that grows every year as new rules are issued. The platform connects five document types, policies, legislation, regulations, contracts, and audit case files, into one system. When a tracked regulation changes, Readily flags every internal policy it touches and produces a redline for review. For audits, it works requirement by requirement, pulling matching proof from the customer's own records into a draft response a reviewer only has to check. A separate monitoring workflow scrubs delegate-submitted data and flags invalid records before they reach a regulator. Readily is aimed at compliance officers, regulatory affairs teams, and delegation-oversight staff at Medicare Advantage and Medicaid health plans. The vendor's published case studies each measure a different kind of gain across three unnamed clients: time saved, consulting spend avoided, and audit throughput. There is no published pricing. Readily is sold through a demo-gated enterprise sales process, with terms negotiated per organization; it runs as a web platform with no desktop or mobile app. The vendor's Trust Center lists three independent security and AI-governance attestations, and states customer documents are never used to train its models. Readily was part of Y Combinator's Summer 2023 batch and has since grown to roughly 20 employees, with open roles in security and compliance engineering and forward-deployed engineering pointing to an integration-heavy, white-glove sales motion typical of early enterprise healthcare software.

Pricing

No public pricing. Readily is sold as an enterprise, demo-gated platform (book a demo from readily.ai); cost is negotiated per organization based on audit scope and policy volume. No free tier or self-serve trial is published as of August 2026.

Key Features

• Audit Evidence Citation: Analyzes each audit requirement, cites supporting evidence directly from the customer's own document set, and drafts the reviewer's assessment so a human verifies in seconds instead of searching for hours.
• Regulatory Change Redlining: Scans incoming regulatory updates, identifies every internal policy the change touches, and drafts a redlined revision so nothing is missed.
• Delegate Data Monitoring: Collects data universes across a health plan's delegated entities, scrubs each record instantly, and flags invalid submissions before they reach a regulator.
• Unified Policy-to-Operations Graph: Connects policies, legislation, regulations, contracts, reports, and case files in one system so a single rule change is traceable to every document it touches.
• Role-Based Access and Audit Trail: Gives compliance leaders role-based access controls and a complete audit trail over who has seen or edited which evidence.

Pros

• Vendor reports one large public health plan cut $734,000 a year in consulting spend after adopting the platform.
• Vendor reports a multi-state Medicare plan increased audits conducted annually from 20 to 150 with the same headcount.
• Holds SOC 2, HIPAA, and ISO 42001 attestations with a public Trust Center, unusual rigor for a company only 3 years past its YC batch.
• Founding team combines healthcare-operations experience at AthenaHealth and Akasa with AI research backgrounds at Microsoft AI and UC Berkeley.

Cons

• No public self-serve pricing; every deal requires a book-a-demo enterprise sales cycle rather than a published per-seat rate.
• No G2, Capterra, or Trustpilot listing found as of August 2026, so the vendor-reported case-study numbers have no independent third-party review to cross-check them against.
• Case studies name customer segments (a managed care organization, a large public health plan, a multi-state Medicare plan) but not the companies themselves, making the reported figures hard to verify independently.
• Built specifically for US healthcare payer and provider compliance workflows; organizations outside that regulatory environment gain nothing from the AI's healthcare-specific tuning.

Visit Readily Official Website