AI Readiness Assessment
Most labs and biohealth organizations struggle to implement AI because they’re not sure where to start, or their data foundation isn’t strong enough to support an initiative. This one-week, $5,000 flat-fee assessment provides a clear, defensible picture of your data, infrastructure, governance, and regulatory posture.
It delivers a clear determination of where your organization stands based out three outcomes: Foundational Gaps, Pilot-Ready, and Scale-Ready. Your report deliverables will be framed around what that means for your next move.
Three Possible Outcomes
Every assessment delivers a clear determination of where your organization stands based on these three categories. Your report deliverables will be framed around what that means for your next move.
Foundation Gaps
Core prerequisites — structured data, instrument connectivity, governance — are not yet in place. We deliver a prioritized gap list and worthwhile investments.
Pilot-Ready
Foundational data exists, but governance or integration gaps limit a launch. We scope your first AI pilot project, rank use cases, and check your governance posture.
Scale-Ready
Working pilots or production AI are in place. The question shifts from “can we?” to “what next?” We deliver a portfolio roadmap, MLOps path, and ROI framing.
Scored on Six Readiness Dimensions
Infrastructure
Instrument Connectivity
Governance
Talent
Regulatory Posture
Deliverables
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AI Readiness Scorecard
A scored view of where your organization stands across six dimensions — data, infrastructure, instrument connectivity, governance, talent, and regulatory posture — so you can make your AI implementation case to leadership with evidence.
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Use Case Inventory
A ranked list of AI applications worth pursuing in your environment, grounded in your actual workflows. This prevents the “we should do AI” trap by grounding the conversation in specific, scoped problems.
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Current State Map
A documented view of your instruments, systems, data flows, and integration points — useful for AI planning, audits, and onboarding.
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Risk & Compliance Catalog
A clear view of your gaps against relevant frameworks (21 CFR Part 11, GxP, HIPAA, EU AI Act, ISO 42001), with guidance on how to close them before they become audit findings.
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Outcome Roadmap
A clear “Foundation Gaps / Pilot-Ready / Scale-Ready” verdict with a sequenced set of next-step recommendations, estimated effort, and the questions you should answer before each step.
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Executive Brief
A ready-to-present summary your lab director can take into a budget conversation. The internal selling is done for you.
What to Expect
One-Week AI Readiness Assessment
Start
Pre-Work
Intake questionnaire, document collection (existing data flow diagrams, validation packages, governance policies, if available), and stakeholder scheduling.
Days 1-2
Discovery
Kickoff with lab leadership, virtual facility tour, and interviews with key stakeholders across QA, IT, and operations. Hands-on review of your LIMS, ELN, and instrument interfaces.
Days 1-2
Days 3-4
Analysis
Your organization is scored across six readiness dimensions. We map your data systems, rank candidate AI use cases, catalog regulatory gaps, and draft a report tailored to your outcome path.
Day 5
Readout & Delivery
Live presentation to leadership with your complete report — including scorecard, use case inventory, risk catalog, roadmap, and executive briefing.
Day 5
End
What Happens After
You can work with us to implement an AI project or use the information to act independently. The point of the assessment is to end with clear paths forward and actionable next steps, whether you continue working with Yahara or not.
Why Yahara
We've built HIPAA- and CLIA-compliant diagnostic portals, bioinformatics pipelines for pathogen surveillance, ML-based image analysis, and instrument-to-LIS data integration layers in regulated settings.
We know the difference between a data problem and a governance problem. And we recognize that not every lab should be running an AI project yet. Saying so honestly is part of the value.
