AI-readiness diagnostic for health-tech startups
Find the healthcare AI work worth funding.
Before a startup buys a tool or builds an agent, rank the opportunities by business value, data fitness, workflow fit, risk, and implementation cost. Leave with a decision-ready map and a practical next project.
Turn AI enthusiasm into a funding decision.
A focused diagnostic creates a shared view across the founder, product, data, engineering, clinical, and operating teams. It answers what can move now, what needs groundwork, and what should not be built yet.
- Use-case valueWhat decision, revenue, cost, quality, risk, or adoption problem would improve?
- Data fitnessIs the relevant data available, owned, documented, current, and safe to use?
- Workflow fitWhere does the work live today, and where can a model or agent help without creating more friction?
- Risk and controlsWhat privacy, security, review, escalation, and change-management conditions must be in place?
- Implementation costWhat people, systems, model strategy, integration, and operating cadence will the work require?
Want a self-serve baseline first? Audit your data models, cloud BAAs, and agent tripwires with our free, zero-PHI HDAIOS Self-Assessment Tool before scheduling your diagnostic.
Free interactive tool
Inspect the data foundation.
Try Healthcare Feed Triage in Claude Desktop with a synthetic event feed. Change the delivery target to see which records arrive too late and which data defects need investigation.
A map the team can act on.
The diagnostic is designed to make the next decision easier to fund, explain, build, and measure.
- Decision memo and opportunity mapWhat to fund, stop, sequence, or revisit—and why.
- Data & pipeline blocker auditInspect bitemporal gaps, source batch lag, default timestamps, and referential integrity.
- Immediate execution scriptsLow-hanging fruit fixes and ready-to-run dbt tests or pipeline scripts your engineering team can run immediately.
- Clinical & governance boundariesEscalation tripwires—including clinical safety boundaries prohibiting autonomous diagnostic triage—and enterprise BAA alignment.
- 90-day execution roadmapA sequenced build sprint, dbt accelerator, or operating-system workstream.
Interactive scoping tool · Zero-PHI
Generate Your 2-Week Diagnostic Statement of Work
Select your warehouse environment, upstream feeds, and pipeline friction. Instantly generate an executive-ready Statement of Work (SOW) memo to share with your VP of Data or CFO for budget authorization.
Primary Data Warehouse & Transformation Engine
Core Upstream Ingestion Feeds
Primary Pipeline Friction & Audit Focus
Generated Scope Memo
Start where the pressure is real.
Readiness with a decision at the end.
What do we physically receive at the end of the assessment?
You receive an executive decision memo, a prioritized use-case matrix ranked by value vs. risk, a pipeline blocker audit, a sequenced 90-day execution roadmap, and ready-to-run execution scripts with low-hanging fruit fixes your engineering team can merge immediately.
How long does the assessment take?
The focused diagnostic is usually a one-to-two-week engagement. The exact scope depends on the number of use cases, systems, stakeholders, and decisions in play.
How much does the diagnostic cost?
Scope and price depend on the number of use cases, systems, and stakeholders, and are agreed before work begins.
Do we need to choose an AI provider first?
No. We optimize within your team's existing enterprise cloud commitment, signed BAA, and token allocation—whether that is AWS Bedrock, Azure OpenAI, or Google Cloud Vertex AI.
What happens after the assessment?
You get a clear next decision. That may be a build sprint, a healthcare data landscape assessment, a dbt accelerator, a Data AI Operating System build, or a decision to wait until the groundwork is ready.
Have more AI ideas than funding decisions?
Questions about the framework or the diagnostic are welcome by email.