Health Plans
Evaluate AI before enterprise deployment across member, claims and utilization workflows.
- Prior authorization
- Claims
- Utilization management
- Risk adjustment
- Member engagement
Healthcare AI Audit & Advisory
Before You Deploy Healthcare AI,Audit It.
Independent healthcare AI assessments that identify clinical, workflow, technology, data, privacy, governance and implementation risks before you invest, deploy or scale.
Start with the five-minute assessment, then request an independent audit when you need a documented readiness decision.
Healthcare AI Audit
Illustrative sample72/ 100
AI Readiness Score
Moderate risk
Fix before deployment
5 priority findings require remediation.
- Clinical FitREADY
- WorkflowREADY
- TechnologyFIX
- DataFIX
- Risk & ComplianceRISK
- GovernanceRISK
- ImplementationREADY
30 Day
60 Day
90 Day
30 / 60 / 90-day remediation plan
Illustrative data only; not a client result or certification.
Why an AI audit
Healthcare AI is moving faster than most organizations can operationalize it.
Don't guess. Audit it.
Understand the audit- 01Can the AI actually work in the clinical environment?
- 02Does it create measurable value?
- 03Is the data reliable and representative?
- 04Does it expose PHI?
- 05Is there appropriate human oversight?
- 06Can the organization govern it?
- 07Can it be integrated into existing workflows?
- 08Can it scale beyond the pilot?
Flagship offering — Healthcare AI Readiness Audit
Assess Before You Invest.
An independent assessment designed to identify AI risk, readiness gaps and implementation barriers before they become expensive problems.
01
Assess
Evaluate the AI initiative across seven dimensions.
02
Identify
Surface the critical risks, gaps and opportunities.
03
Prioritize
Deliver a prioritized remediation roadmap.
04
Decide
Make a documented go, fix, pause or scale decision.
The Opus Dei Tech AI Readiness Framework
Seven dimensions. One independent assessment.
We evaluate healthcare AI across the dimensions that determine whether an initiative is commercially valuable, clinically appropriate, operationally viable, technically feasible, governed responsibly and ready to scale.
7 Dimensions → Readiness Decision→ 30 / 60 / 90-Day Roadmap
01
Business
Value, economics, investment case
02
Clinical
Clinical relevance, safety, fit
03
Workflow
Where AI fits and who uses it
04
Technology
Architecture, APIs, EHR/EMR integration, interoperability
05
Data
Quality, availability, sources, representativeness
06
Risk & Compliance
Privacy, regulatory, operational and governance exposure
07
Implementation
Deployment, support, adoption and scalability
Outcomes
- READY
- FIX
- RISK
- NEXT
A prioritized 30 / 60 / 90-day action plan.
What you get
A clear decision—not another consulting report.
Every audit converts evidence into an executive-ready recommendation and a practical sequence for action.
01
AI Use-Case Assessment
Determine whether the AI addresses a meaningful healthcare problem and creates defensible value.
02
7-Dimension Readiness Score
A documented score across business, clinical, workflow, technology, data, risk and implementation.
03
Risk & Gap Analysis
Identify barriers, dependencies and exposure before investment, deployment or scale.
04
Executive Readout
Clear findings designed for leadership and board-level decision-making.
05
Prioritized Roadmap
A sequenced 30 / 60 / 90-day remediation plan with practical next steps.
06
Readiness Recommendation
A clear READY, FIX, RISK or NEXT decision—not another open-ended consulting report.
AI Risk Assessment
Illustrative sample| Likelihood | Low impact | Medium impact | High impact |
|---|---|---|---|
| High likelihood | High likelihood, Low impact: No illustrative findings | High likelihood, Medium impact: Governance | High likelihood, High impact: Privacy |
| Medium likelihood | Medium likelihood, Low impact: No illustrative findings | Medium likelihood, Medium impact: Bias | Medium likelihood, High impact: Clinical |
| Low likelihood | Low likelihood, Low impact: Workflow | Low likelihood, Medium impact: No illustrative findings | Low likelihood, High impact: No illustrative findings |
5 risks requiring remediation before deployment.
Illustrative data only; not a client result or certification.
2
Critical
5
High
8
Moderate
12
Low
Who needs an AI audit
Built for the organizations accountable for AI decisions.
Hospitals & Health Systems
Validate clinical safety, human oversight and workflow readiness before care delivery.
- Clinical AI
- Ambient AI
- Clinical decision support
- Patient-facing AI
- Operational AI
Digital Health Companies
Identify healthcare-readiness gaps before selling to health systems or health plans.
- AI product validation
- Healthcare readiness
- Workflow assessment
- Enterprise readiness
- Commercialization readiness
Healthcare Technology Vendors
Assess integration, governance and implementation readiness for enterprise buyers.
- AI vendor assessment
- Integration readiness
- Risk assessment
- Implementation readiness
- Buyer readiness
We also work with healthcare startups and healthcare investors on AI diligence and readiness.
Why Opus Dei Tech
Healthcare expertise meets AI readiness.
We’re not approaching healthcare as a generic AI problem. The assessment is grounded in clinical reality, payer and provider operations, healthcare data, workflows and technology execution.
Healthcare technology professionals evaluating whether AI actually works in healthcare.
Experience
12+ years
Perspective
Payer + Provider
- Health Plans
- Providers
- Claims
- Medicare / Medicaid
- EHR / EMR
- Healthcare Data
- HIPAA
- Healthcare Workflows
- Healthcare Technology
- AI & Automation
AI Risk Assessment
What's Your Healthcare AI Risk Score?
Take a short assessment covering clinical impact, PHI, oversight, validation, bias, governance, monitoring and implementation readiness — and see where the gaps are.
/ 100 sample score
Moderate risk
3 areas require immediate attention.
After the audit
From AI audit to implementation.
Once the risks and readiness gaps are understood, we help organizations build practical paths to governance, implementation and scale.
01
Healthcare AI Advisory
Turn audit findings into an execution strategy spanning governance, use-case priorities, clinical and workflow alignment, implementation and monitoring.
Learn more02
Digital Transformation
Modernize the workflows, platforms and operations required to implement and scale.
Learn more03
Product Strategy
Build and commercialize healthcare products around real users, workflows and buyers.
Learn moreAudit → Findings → Advisory → Implementation.
Evidence
Healthcare depth behind the audit.
Representative Engagement · Featured · Healthcare AI Advisory
Healthcare AI Strategy
A healthcare AI startup had strong machine-learning capabilities but needed clearer clinical workflow, buyer, regulatory, and commercialization positioning.
View Case Study- 01Use case
- 02Assessment
- 03Findings
- 04Recommendations
- 05Outcome
- Stronger investor narrative followed by a health-plan pilot opportunity.
Representative Engagement · Digital Transformation
Claims Platform Modernization
A complex claims environment required modernization while maintaining operational continuity.
Representative engagement. Supplied results are context-specific and are not guarantees of future outcomes.
- Auto-adjudication
- 60% → 94%
- Provider payment cycle
- 21 → 8 days
- Reduction in manual processing
- 65%
Representative Engagement · Product Strategy
Clinically-Validated Healthcare Product Roadmap
A digital health company had strong engineering capability but needed stronger healthcare, clinical, and regulatory alignment.
A clinically aligned product roadmap and stronger path toward market adoption.
View Case StudyStart here
Your Risk Score Is the Starting Point. The Audit Is the Decision.
When you need independent evidence, prioritized findings and a readiness recommendation, request the full Healthcare AI Audit.