Most revenue cycle teams already have automation. Bots log into portals, scripts move data between fields, clearinghouses scrub claims. The work that still lands on people is the exceptions: a benefit check the payer answers only by phone, a prior authorization packet missing one document, a denial that needs a judgment call. That is the gap agentic AI is supposed to close. This guide is for revenue cycle directors at provider groups, owners of medical billing companies and MSOs, and product leaders at RCM platforms. Every company is judged on the same five criteria, and every claim comes from a public source: the vendor’s own site, published case studies or verified Clutch reviews.
TL;DR
- Agentic RCM is not a rebrand of RPA. A script replays fixed clicks and breaks when a screen changes; an agent works toward a goal, picks the next step and hands uncertain cases to staff with context attached.
- The seven firms here split into two groups: builders with their own agentic RCM components, and engineering firms with strong claims and EDI foundations that you would build agents on top of.
- Denials are the business case. In Experian Health’s 2025 State of Claims survey, 41% of providers reported denial rates of 10% or higher, and only 14% said they use AI in claims.
- Since January 1, 2026, CMS-0057-F requires impacted payers to decide on prior authorization within 72 hours for expedited and 7 days for standard requests, with the Prior Authorization API due on January 1, 2027.
- Gartner predicted in June 2025 that over 40% of agentic AI projects will be canceled by the end of 2027 because of cost, unclear value or weak risk controls. Vendor selection is where most of that risk is decided.
- Ask for a workflow running in production, the payers it is configured for and its touchless rate. A demo on a clean case proves nothing.
How we evaluated agentic RCM companies
Each firm was assessed on five criteria, in the same order:
- Agentic execution. Does the firm ship agents that handle exceptions and escalate, or scripted bots?
- Payer workflow coverage. Eligibility, benefits verification, prior authorization, claims, denials and payer calls.
- Connectivity. X12 transactions (270/271, 276/277, 278, 837/835), named clearinghouses and EHRs.
- Compliance evidence. Certifications with a named standard (SOC 2, ISO 27001), plus audit trails and human review.
- Independent client evidence. Verified reviews from healthcare clients, not testimonials on the vendor’s own site.
| # | Company | Agentic RCM coverage | Clutch | Named compliance evidence |
|---|---|---|---|---|
| 1 | MindK | Eligibility, VoB, prior auth, claims, payer calls | 4.9 | Not publicly claimed |
| 2 | OSP Labs | Packaged prior auth, claims and denial agents | No reviews yet | SOC 2 Type II |
| 3 | ScienceSoft | Prior auth automation, ML denial prediction | 4.8 (43 reviews) | ISO 27001, ISO 13485, ISO 9001 |
| 4 | EffectiveSoft | AI coding, eligibility, denial prediction | 4.9 (19 reviews) | ISO 27001 |
| 5 | Chetu | X12 EDI and claims hubs, no published AI case | 4.3 (82 reviews) | SOC 1 Type 2 |
| 6 | Zfort Group | LLM tools for coding and prior auth | 5.0 (23 reviews) | Described as “aligned” |
| 7 | Softura | Claims automation inside EMR builds | No reviews yet | ISO 27001 (claimed) |
1. MindK
Specializes in: agentic RCM components · payer voice and IVR automation · replacing scripted billing RPA
Founded: 2009 · US office: San Francisco · Clutch: 4.9, $50–99/hr
MindK sits first because it runs agentic RCM in its own product, not only in client pitches. Its approach to medical billing automation keeps classic RPA for stable, rule-bound steps and uses agents for eligibility, benefits verification, prior authorization, claim preparation and payer follow-up, with every agent action logged and low-confidence cases routed to staff. Where portals run out, its healthcare voice agent calls payers, navigates IVR menus, waits on hold, interviews the representative and writes a validated result back into the RCM system. It is configured for 20 insurers and sorts failed calls into 13 outcome classes, such as an invalid member ID, before planning a retry.
Proof of execution
- GoodBilling, MindK’s own RCM platform: patient intake, eligibility, VoB, payer portal agents, voice agents and claims generated when a clinical note is signed. The company reports about 68,000 claims a month across 300 onboarded practices.
- GoodBilling’s first production version shipped in 5 months with a 10-person team.
- The Lactation Network: specialty billing workflows built into a clinical EMR that grew to about 30,000 patient visits a month, confirmed in a verified Clutch review from TLN’s director of product development.
Pricing: custom quote; Clutch lists a $25,000 minimum. MindK states a first workflow typically goes live in 6–10 weeks.
Potential limitation: no SOC 2 or ISO 27001 certificate is publicly stated, so security review will rely on its HIPAA design documentation. A mid-size team is not the right fit if you need hundreds of seats of staff augmentation.
My take: VoB by phone is where most automation programs stall, and MindK is one of the few firms on this list that treats the payer call as part of the agentic workflow rather than an exception queue. I would start with one high-volume workflow and measure touchless completion against the current baseline.
2. OSP Labs
Specializes in: packaged RCM AI agents · clearinghouse integration · EHR data migration
Founded: 2009 · US offices: Los Angeles, Irving (TX), Silver Spring (MD) · Clutch: no reviews yet, $25–49/hr
OSP Labs sells productized agents under the names Revenue Engine AI, Denial Engine AI, Claim Engine AI and Prior Authorization Engine AI. It names Change Healthcare, Availity and Waystar as clearinghouse integrations, works with Epic, Cerner and athenahealth over FHIR R4 and X12, and earned SOC 2 Type II in May 2025.
Proof: cut claim review against payer guidelines from 7 weeks to under 12 hours (a rule-based system); built a practice management and RCM system for a Texas mental health center.
Pricing: Clutch lists a $5,000 minimum.
Potential limitation: no third-party reviews, and the AI agents do not yet appear in a published case study. The “96% first-pass approval” figure on its site is a benchmark, not a client result.
My take: packaged agents can shorten a first pilot. Ask to speak with a client running one in production before you sign.
3. ScienceSoft
Specializes in: RCM software engineering · AI prior authorization · denial analytics
Founded: 1989 · HQ: McKinney, TX · Clutch: 4.8 (43 reviews), $50–99/hr
ScienceSoft’s RCM practice covers clearinghouse eligibility checks, electronic prior authorization submission, claim scrubbing, X12 837/835, denial tracking and ML denial prediction. It holds ISO 27001:2022, ISO 13485 and ISO 9001, and claims 150+ healthcare projects since 2005.
Proof: computer-vision fraud and error detection for a dental insurtech’s claims at 95% accuracy, delivered as a 6-month MVP; named Epic, athenahealth and Cerner integration work.
Pricing: published range for AI prior authorization automation of $100,000 to $1 million+.
Potential limitation: no prior authorization case study with metrics is published, and the price floor rules out a small first pilot.
My take: a safe choice for a health system whose security team reads certificates before it reads demos. Expect a project, not a product.
4. EffectiveSoft
Specializes in: AI medical coding · predictive denial management · claims automation
Founded: 2003 · HQ: San Diego, CA · Clutch: 4.9 (19 reviews), $50–99/hr
EffectiveSoft has built TruBridge’s (formerly TruCode) encoder products since 2006, which gives it rare depth in coding logic. Its RCM offer lists eligibility verification, claims automation, AI coding suggestions and predictive denial management. It holds ISO 27001:2022.
Proof: TruBridge Encoder and Encoder Essentials; an OCR and NLP patient-data platform integrated with a southwestern US provider’s EHR.
Pricing: Clutch lists a $25,000 minimum.
Potential limitation: prior authorization and X12 work are not described on its site, and no RCM case study publishes an outcome metric.
My take: coding errors sit upstream of many denials, so a coding specialist is a reasonable second vendor next to a workflow builder.
5. Chetu
Specializes in: X12 EDI and claims processing · Epic implementation · large offshore teams
Founded: 2000 · HQ: Sunrise, FL · Clutch: 4.3 (82 reviews)
Chetu’s claims work covers the full X12 set, including 270/271 eligibility, 276/277 claim status and 278 authorization. It has 2,800+ developers and has passed 15 consecutive SOC 1 Type 2 audits.
Proof: a centralized EDI and HL7 claims hub for a client; an 835 parser pulling remittances from Availity, Medicare and Medicaid; a verified review from a chiropractic provider network on integrating an app with its claims adjudication system.
Pricing: Clutch lists a $10,000 minimum.
Potential limitation: no published healthcare AI case study, and some reviews cite language barriers and missed deadlines.
My take: hire Chetu for the plumbing, not the agent design. Clean EDI is what every RCM agent depends on.
6. Zfort Group
Specializes in: LLM tools for coding and prior auth · Epic FHIR integration · healthtech prototypes
Founded: 2000 · US address: New York, with delivery from Ukraine · Clutch: 5.0 (23 reviews), $50–99/hr
Zfort lists LLM tools for medical coding, prior authorization and care summarization, plus RCM software aimed at reducing claim errors.
Proof: a care-gap tool with Epic FHIR integration built for Medicaid managed care; a verified Clutch review from a VP of operations at Advocate Health Care for a patient portal and EHR project.
Pricing: Clutch lists a $10,000 minimum.
Potential limitation: eligibility and X12 work are not described, healthcare clients are anonymized, and compliance is described as “aligned” rather than certified.
My take: a fit for prototyping one LLM-assisted step, such as drafting prior authorization packets, before you commit to a platform.
7. Softura
Specializes in: EMR modernization · Epic and Cerner HL7 integration · claims automation
Founded: 1997 · HQ: Farmington Hills, MI · Clutch: no reviews yet, $50–99/hr
Softura built an OB/GYN EMR on Cerner with a billing clearinghouse integrated for claims submission, and a wound care EMR connected to Epic and Cerner over HL7. It lists claims automation and billing anomaly detection among its AI services.
Pricing: Clutch lists a $10,000 minimum.
Potential limitation: eligibility, prior authorization and X12 work are not described, AI is not yet shown in a case study, and there are no verified reviews.
My take: useful when billing problems trace back to a dated clinical app that has to be fixed first.
How this roster was assessed
No numeric scores appear here on purpose: star ratings built on 3 reviews and on 82 reviews are not comparable. Where a firm’s public record does not show a criterion, the card says so instead of guessing, and vendor-reported numbers are labeled as such. MindK is placed first because it is the only firm on this list whose public record shows agents for eligibility, VoB, prior authorization, claims and payer phone calls running in its own RCM product. That is a statement of fit, not of rank: ScienceSoft brings the deepest certification record, and Chetu the broadest EDI coverage.
What does agentic RCM cost?
Published figures give a usable range. ScienceSoft prices AI prior authorization automation at $100,000 to $1 million+. MindK states that a first workflow goes live in 6–10 weeks and that broader RCM automation or a custom platform takes 3–5 months. Clutch minimums on this list run from $5,000 to $25,000.
Two costs buyers tend to miss: payer-specific configuration, since every payer’s portal, phone tree and rules differ, and upkeep, because portals change and agents need monitoring after launch.
What to ask before you sign
- Which payers and portals is the agent already configured for, and what is its touchless rate on them?
- What happens when confidence drops below threshold? Who reviews the case, and with what context?
- Is every agent action logged for audit, and can staff override it?
- When a portal or IVR changes, how is the failure detected, and who fixes it?
- Will you sign a BAA, and where is PHI processed when it reaches an external model?
A vendor that struggles with these in the first call is telling you something important.
The short version
If your bottleneck is payer phone calls and benefit checks, start with MindK. If you want a packaged agent to pilot cheaply, test OSP Labs. If certificates come first, talk to ScienceSoft. Either way, ask for a workflow running in production at your volume.
