AI for Appeals

AI BPO recovers revenue for healthcare providers and billing teams by automating insurance denial appeals.

75-85%*

Appeal success rate estimate

24/7

Automated claims monitoring

3-5x

Faster revenue recovery

Built and trusted by

Stanford
Uber
Microsoft
Alliance
Soma Capital
Stanford
Uber
Microsoft
Alliance
Soma Capital
Stanford
Uber
Microsoft
Alliance
Soma Capital

How It Works

Three steps to recover more revenue from denied claims

01

Spot and prioritize denied claims

AI BPO automatically identifies denied claims and reorganizes them by likelihood of success and potential revenue recovery. Focus your efforts where they matter most.

Denied Claims

Sorted by value & success rate

3 claims prioritized for immediate action

Denial CLM-2024-001237High Priority

Cigna

2,340.00

03/13/2024

Patient: David Kim
Policy: CIG-987321654

Procedure: Laboratory Tests - Comprehensive Panel

Code:D89

Duplicate claim submission for same service date

Denial CLM-2024-001236High Priority

Aetna

6,100.00

03/14/2024

Patient: Emily Rodriguez
Policy: AET-123654789

Procedure: Surgical Consultation & Treatment

Code:N54

Out-of-network provider - benefits limited per plan

Denial CLM-2024-001235Medium

UnitedHealthcare

1,890.00

03/15/2024

Patient: Sarah Chen
Policy: UHC-456789123

Procedure: Physical Therapy (12 sessions)

Code:M86

Medical necessity not established per policy guidelines

02

Draft appeals intelligently

Using insurance policies, medical codes, and your documentation, AI BPO drafts comprehensive appeals. When phone calls are needed, it can make them—escalating to your team only when human judgment is required.

Appeal Draft

Denial #CLM-2024-001237

AI Generated

RE: Appeal of Claim Denial

Claim: CLM-2024-001237 | Patient: David Kim

Service Date: March 13, 2024

Dear Appeals Committee,

Drafting appeal...2.3s
03

Submit and track results

AI BPO handles submission across multiple payer portals and tracks every appeal through to resolution. Get real-time updates on approval rates and recovered revenue.

Active Appeals

Live tracking
CLM-2024-001236
APPROVED
ICN: A7B9C2D4E8F1
Est. Recovery
$4,250.00
Patient: Emily Rodriguez
Procedure: Surgical Consultation & Treatment
Appeal Submitted
09:42:15
Transmitted to payer system
Payer Acknowledgement
09:42:18
Received and validated
Under Medical Review
09:45:32
Clinical review in progress
Appeal Approved
10:15:00
Claim overturned successfully
CLM-2024-001198
UNDER REVIEW
ICN: B3F8D1C9A2E7
Est. Recovery
$1,890.00
Patient: Michael Chen
Procedure: Physical Therapy (12 sessions)
Appeal Submitted
14:23:45
Transmitted to payer system
Payer Acknowledgement
14:23:48
Received and validated
Under Medical Review
14:31:12
Clinical review in progress
CLM-2024-001245
IN PROGRESS
ICN: C8D2F4B9E1A6
Est. Recovery
$2,340.00
Patient: Sarah Johnson
Procedure: Laboratory Tests - Comprehensive Panel
Appeal Submitted
11:15:32
Transmitted to payer system
Payer Acknowledgement
11:15:35
Received and validated

Built for healthcare denial management

Everything needed to automate denial appeals from identification to resolution

Draft appeal letters

Generate customized appeal letters using your medical records, policy guidelines, and denial codes. Example: Drafts a 3-page appeal for a denied MRI with supporting documentation.

Call insurance payers

Make outbound calls to verify appeal receipt, check status, and document payer responses. Example: Calls Aetna to confirm appeal submission and logs case notes.

Escalate complex cases

Route peer-to-peer reviews and clinical escalations to your team with full context. Example: Flags surgical authorization denial for physician review with complete medical history.

Pull EHR data automatically

Connect to Epic, Cerner, or any EHR to retrieve patient records and clinical documentation. Example: Extracts lab results and diagnosis codes from Epic for appeal evidence.

Learn payer requirements

Study coverage policies and medical necessity criteria for each insurance company. Example: References UnitedHealthcare's PT authorization guidelines when drafting appeals.

Build custom workflows

Create multi-step processes for different denial types and clinical scenarios. Example: Sets up 3-tier workflow for pre-auth denials with automatic follow-up timelines.

Real Results

See how businesses replaced outsourcing with AI workers

Regional Hospital Network

65% denial recovery rate

"We were writing off thousands of denied claims annually. AI BPO now handles our appeals automatically and we're recovering the majority of previously denied revenue."

Orthopedic Surgery Practice

78% appeal success rate

"Prior authorization denials were killing our practice efficiency. AI BPO drafts appeals with supporting documentation in minutes instead of hours."

Connects with your healthcare stack

Integrate seamlessly with EHRs (Epic, Cerner, Athenahealth), billing systems (Waystar, Change Healthcare), clearinghouses (Availity, Trizetto), and payer portals. Custom integrations built for your workflow.

Epic EHR
Cerner
Athenahealth
Allscripts
eClinicalWorks
NextGen
Kareo
Epic EHR
Cerner
Athenahealth
Allscripts
eClinicalWorks
Epic EHR
Cerner
Athenahealth
Allscripts
eClinicalWorks
NextGen
Kareo
Epic EHR
Cerner
Athenahealth
Allscripts
eClinicalWorks
Waystar
Change Healthcare
Availity
Trizetto
Optum
Experian Health
AccuReg
Waystar
Change Healthcare
Availity
Trizetto
Optum
Waystar
Change Healthcare
Availity
Trizetto
Optum
Experian Health
AccuReg
Waystar
Change Healthcare
Availity
Trizetto
Optum

Common questions

Future of human work

Stanford team backed by tier 1 VCs

Om Labs founders Krish and Keon
Team outdoors

AI BPO is built by Om Labs, a Stanford team with backgrounds from Oracle, Microsoft, and Uber. We're backed by Alliance, Balaji Srinivasan, Some Capital, and other leading investors with over $1B in AUM who share our vision for AI-native operations.

Founded by Krish Chelikavada and Keon Kim, our team has written bestselling AI books and built operational workflows at unicorns and billion-dollar SaaS companies. We've created support agents, QA agents, and entire automated workflows that replace traditional BPO functions.

Before AI BPO, we spent years watching companies struggle with offshore teams, dealing with time zones, quality issues, and scaling constraints. We built this because we know companies need automation that works like an extension of their team, not another vendor to manage.