Future state workflow
How it works
Absence requests arrive through email and connected intake channels. Bevaya AI Agents ingest each submission, extract structured details, cross-reference against plan rules and prior history for completeness, and analyze the information against your business rules — surfacing decisions and exceptions for your team in real time.
information
Current Scope — As We Understand It
Work Partners | Absence Management
Document classification, routing, and structured data extraction across 11 document types. Fields will be adjusted and refined during scoping for production.
- Subject Line
- Email Date
- Sender Name
- Sender Email
- Case Number
- Facility Code
- Leave Type
- Assigned Specialist
- Case Number
- Employee First Name
- Employee Last Name
- Employee Number
- Facility Code
- Assigned Specialist
- Leave Type
- Match Status
- Employee Name
- Leave Category
- Family Member Name
- Family Member Relationship
- Condition / Reason
- Condition Type
- ICD-10 Codes
- Specialist Referrals
- Leave Type
- Care Types Required
- Estimated Start Date
- Estimated End Date
- Intermittent Frequency
- Episode Duration
- Appointment Frequency
- Provider Name
- Provider NPI
- Provider Specialty
- Provider Address
- Provider Phone
- Certification Date
- Certification Request Date
- Certification Due Date
- Employee Name
- Diagnosis / Condition
- ICD-10 Code
- Disability Period Start
- Expected Return Date
- Work Restrictions
- Hospitalization
- Surgery Required
- Provider Name
- Provider Signature Date
- Employee Name
- Return to Work Date
- Full Duty
- Work Restrictions
- Restriction Duration
- Provider Name
- Provider Signature Date
- Employee Name
- Full Duty
- Work Restrictions
- Effective Date
- Restriction Duration
- Provider Name
- Service Member Name
- Branch of Service
- Order Type
- Reporting Date
- Release Date
- Unit
- Employee Name
- Extension Start Date
- Extension End Date
- Reason for Extension
- Provider Name
- Provider Signature Date
- Provider Name
- Date of Service
- Patient Name
- Diagnosis / ICD-10
- Condition Summary
- Recommended Action
- Document Type Depicted
- Key Information Visible
- Agreement Type
- Employee Name
- Employee Number
- Date of Birth
- Signature Date
- Employee Signed
Bevaya AI Agents · Under the Hood
AI Agent Capabilities
Click any capability to learn more about how it works inside the Bevaya platform.
Pre-Built AI Agent Library
Meet your AI workforce
Bevaya ships pre-trained agents for every major insurance workflow. Each is ready to deploy against your systems and document types — no lengthy model training required.
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The Bevaya Expansion Effect
Our customers don't stop at one AI Agent
Land-and-expand isn't our aspiration. It's the pattern in our customer base.
1 Research from the RAND Corporation
Integrations
Works with the systems you already run.
Bevaya AI Agents connect directly to your claims systems, policy admin platforms, document management tools, and communication channels — orchestrating workflows across them, not just passing data between them.
- Import an OpenAPI 3.0 or Swagger spec — Bevaya auto-generates the connector
- Support for OAuth 2.0, Bearer token, API key, and basic auth
- Webhook receiver for event-triggered automation
- Retry logic, rate-limit handling, and error routing built in
- Poll SFTP directories on a schedule or event trigger
- Handles PDF, TIFF, CSV, XML, EDI, and custom flat files
- Archive, move, or delete source files post-processing
- Delivery of structured outputs back to SFTP drop-zones
AI Performance
InsurGPT™ — purpose-built for insurance accuracy.
An ensemble of specialized AI models trained on 300M+ real insurance documents. Benchmarked quarterly against frontier models — InsurGPT™ leads on every field category across underwriting, claims, and loss runs.
| Field | GPT-4.1 | GPT-5.0 | Gemini 3.0 | InsurGPT™ |
|---|---|---|---|---|
| Indemnity Paid | 66% | 53% | 81% | 98% |
| Medical Reserves | 86% | 60% | 91% | 98% |
| Recoveries | 97% | 61% | 91% | 99% |
| Status | 70% | 46% | 69% | 96% |
| Claimant Name | 88% | 58% | 84% | 97% |
| Claim Number | 83% | 54% | 76% | 93% |
| Line of Business | 91% | 60% | 86% | 98% |
| Nature of Injury | 53% | 40% | 72% | 90% |
| Date of Incident | 88% | 58% | 85% | 97% |
| Total Paid | 74% | 52% | 73% | 88% |
Proven Results
Real outcomes. Real deployments.
Every case below is a live production deployment. Select any story to see the full situation, challenge, and solution.
Capacity Gained
We handle the work. Your experts make the calls.
We remove manual, low-judgment work across insurance, freeing your team's capacity for the decisions that need their expertise.
Build vs. Buy
10 Layers of a Production Grade Solution
Internal IT builds address Layer 1 — extraction — at best. Bevaya solves all 10.
Trust & Governance
Security and compliance built in, not bolted on.
Designed for the most regulated industry in the world. Every deployment meets the data, privacy, and governance standards insurance carriers and TPAs require.
Data Ownership
Your data, always
Compliance
Regulated industry ready
Deployment
Enterprise infrastructure
Oversight
Audit-ready by design
Trusted By
Enterprise organizations across the P&C stack
Deployed at carriers, TPAs, and brokers managing millions of documents a year across commercial lines, specialty, workers' comp, and personal lines.
Insurers
TPAs
Brokers
Project Overview
The Timeline Is in Your Hands
Same six phases. The difference is how quickly UPMC can deliver API access, SME time, and documented absence logic — the inputs that compress every phase.
Collaboration Model
How We Partner
A clear division of ownership across every phase — so nothing falls through the cracks.
Setup
Design
Config
- Provide security docs & architecture overview
- Confirm API connectivity
- Lead discovery sessions
- Document current-state workflows
- Identify STP candidates
- Configure AI agents per absence types
- Build extraction & decisioning logic
- Integrate with Absence Tracker
- Facilitate test scenarios
- Review output accuracy
- Tune models on feedback
- Monitor production queues
- Resolve edge cases
- Deliver handoff documentation
- Allow-list Bevaya IPs
- Expose FileNet & Absence Tracker APIs in lower env
- Provide credentials & API docs
- Support configuration workflow review
- Confirm data field availability
- Periodic validation of Bevaya output in staging
- Confirm integration correctness
- Grant production API & UI access
- Support environment readiness
- Confirm production connectivity
- Monitor system health
& Leaders
- Attend project kickoff to align on goals & set expectations
- Review & validate absence type priorities
- Provide regulatory edge-case examples
- Sign off on future-state design
- Review sample outputs for accuracy
- Provide decisioning guidance for grey-area cases
- Execute test scenarios end-to-end
- Sign off on UAT results
- Confirm production outcomes meet expectations
Cadence