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WorkDone Health

Slash Claims Costs and Cycle Times by up to 50%—Learn and Retain Your Institution's Best Practices

Capture workflows. Automate processes. Embed compliance. WorkDone agents put your claims ops on autopilot, while retaining what makes you great.

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Problem Shortlist

Claims processes bogged down by errors, turnover, legacy systems

Rework costs $$ and forfeits renewals

Institutional knowledge leaks—gone forever

WorkDone Corporate Memory®, learns, retains and shares
what your best people know.”
Joe Rogers
CEO, WorkDone.ai
We reduced rework by 53% in 90 days and kept our top
adjuster’s playbook when they left the company.”
CEO
Midsize Insurance Carrier

WorkDone Results

decrease in remediation costs

reduction in claims cycle time

increase in policyholder retention rates post-automation

TRUSTED BY TOP COMPANIES
Public Sector Disability Insurer saved $1.1M annually with WorkDone.” “AI agents captured 520+ process heuristics and reduced average claim resolution time from 16 days to 6.”
Joe Rogers
CEO, WorkDone.ai

How It Works

01.

Assess

Expertise Capture silently document how claims are handled

02.

Diagnose

Corporate Memory™ codifies repeatable best practices

03.

Optimize

Execute and optimize workflows with human-in- the- middle controls. 

04.

Automate

Continuous improvement via feedback to operations management. 
This is what AI transformation is supposed to look like.”
CEO
MidWestern Mutual

Proof of Value

Feature

AI Process Agents

Corporate Memory®

360° Observability

Agentic Claims Support

Compliance Automation (GDPR/PCI)

Benefit

Lower claim handling cost by 30–50%

Preserve expertise; eliminate handoff waste

Eliminate dark spots in process performance

Higher NPS, satisfaction in public channels

Audit-readiness. Less risk and fines.

Getting Started

Free 30-Min ROI Assessment Call — See How Much You Can Save.
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Or get the Enterprise Buyer’s Field Guide to AI Claims Automation
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Frequently Asked Questions 

Senior Executives at Healthcare Insurance Carriers & Payors About WorkDone Health
1. Strategic Alignment & Business Value
  • What measurable ROI can we expect?  (Reduction in claim denials, administrative savings, impact on loss ratios, improvement in policy renewals etc.
  • How does WorkDone Health specifically address business outcomes for payors versus providers or health systems?
  • How quickly can we move from pilot to production?  (What’s the timeline for realizing value?)
  • How does this fit into our existing digital transformation and compliance roadmap?
  • Will adopting this technology give us a market or regulatory advantage? (Are early adopters benefitting competitively?)
  • Is WorkDone Health compliant with HIPAA, SOC 2, HITRUST, and CMS requirements? (Are certification documents/audits available? How often is compliance reassessed?)
  • How does the platform accommodate evolving federal and state regulations (e.g., new CMS rulings, 21st Century Cures Act)?
  • Does the solution support granular audit trails and reporting to meet legal and regulatory obligations?
  • What mechanisms are in place for PHI de-identification during both training and production?
  • How is sensitive data secured in transit, at rest, and during process automation? (What encryption standards, access controls, and segmentation are used?)
  • Who owns the data processed by WorkDone Health? (Are there explicit data usage, retention, and destruction policies aligned with our enterprise standards?)
  • What is your incident response plan for data breaches or cyber threats?
  • Do you offer a Business Associate Agreement (BAA) and are vendors subject to independent security assessments?
  • How does WorkDone Health integrate with existing claims, EHR, and workflow systems (Epic, Cerner, custom legacy systems)?
  • Does the platform use HL7, FHIR, and other interoperability standards?
  • What resources are required on our side for initial setup and ongoing operation? (Low-code/no-code compatibility? IT involvement? Change management?)
  • Scalability: Can the solution support our volume (claims, providers, regions)? How does it perform in multi-entity environments or across subsidiaries?
  • What is the approach for continuous platform updates and integration with new payor-specific modules?
  • What impact will the platform have on first-pass claim adjudication, appeals, and fraud detection? (Concrete analytics, case studies, or benchmarks provided?)
  • How are best practices and process improvements codified, adapted, and rolled out enterprise-wide?
  • Does WorkDone Health offer pre-built automation for claims workflows and compliance reporting, or is customization always required?
  • What support exists for exception handling, manual overrides, and regulatory “edge cases”?
  • What proven track record or clinical/economic validation does WorkDone Health offer for the payor market segment?
  • Who else is using the product in the payor space and at what scale? (References?)n (If reference customers cannot be named, what anonymized benchmark data is available?)
  • What are the unique differentiators of WorkDone Health versus established vendors or in-house solutions?
  • What does the vendor’s long-term roadmap look like, especially as new AI regulations and payer-specific use cases emerge?
  • Who underwrites the vendor’s liability for regulatory, operational, or security failures?
  • What is the recommended change management approach for rolling out this solution within a payer organization?
  • What does the onboarding and training process look like for staff at varying levels of technical expertise?
  • How are existing workflows, staff, and business processes impacted by implementation?
  • What kind of post-implementation support, SLAs, and escalation paths are available?
  • How are AI decision-making and automation processes governed? (Transparency, explainability, and oversight of automation — especially for adverse decisions)navex+2
  • What steps are taken to prevent and monitor algorithmic bias or unintended consequences?
  • How often are models re-audited to ensure fairness and compliance with evolving regulations?
  • What is the pricing model (subscription, per-claim, enterprise, user-based)? (Are there implementation or consulting fees?)
  • What is the total cost of ownership, including setup, integration, support, and ongoing upgrades?
  • How does pricing scale with growth — more claims, more users, more subsidiaries? 10. Future-Proofing & Vendor Stability
  • How is the vendor positioned with respect to recent market or regulatory shifts?
  • What is the company’s financial health, funding, and commitment to supporting large payor enterprise-scale clients?
  • Is there a clear roadmap for leveraging emerging AI models and adapting to regulatory changes?
  • Most payor executives seek concrete financial outcomes (fewer claim denials, administrative cost savings, improved audit rates) as well as explicit evidence of future compliance and risk mitigation.
  • Reputational risk and third-party validation (testimonials, published case studies, security reviews) are major gating items for adoption.
  • Vendors like WorkDone Health must demonstrate robust answers around integration, security, and ongoing vendor viability while providing clear differentiation versus more generic competitors or homegrown automation.
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