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AI Readiness Assessment

Is Your Organization Ready for AI?

Answer 10 questions across 5 dimensions and get an instant readiness score with tailored recommendations for your next steps.

    1/10

    DATA READINESS

    How would you describe the quality and availability of data across your organization?

    Data is scattered across departments with little structure or consistencySome data exists but it's inconsistent and rarely used for decisionsStructured datasets are used for reporting and analyticsClean, labeled, well-governed data pipelines ready for ML workflows

    Question 1 of 10

    DATA READINESS

    Do you have data governance policies — ownership, privacy, 
access control?

    No policies in placeInformal practices, nothing documented or enforcedBasic policies exist but compliance is inconsistentComprehensive governance framework, actively enforced


    Question 1 of 10

    Tech Infrastructure

    How would you describe your current IT infrastructure?

    Mostly on-premise legacy systems, limited cloud usageSome cloud tools adopted but no unified architectureHybrid cloud/on-prem with moderate modernizationModern cloud-native, scalable, and API-driven infrastructure


    Question 1 of 10

    Tech Infrastructure

    Is your team currently using any AI or ML tools?

    No AI tools in use at allBasic productivity tools — spreadsheets, BI dashboardsAI-powered SaaS products (e.g. CRM with predictions, chatbots)We build and deploy custom ML models or AI pipelines in-house


    Question 1 of 10

    Talent & Culture

    How AI-literate is your workforce overall?

    Most employees have little awareness of what AI can doGeneral awareness exists but very few technical skillsSome employees have data/analytics skills; AI training is underwayDedicated AI/ML team with cross-functional AI champions


    Question 1 of 10

    Talent & Culture

    How open is your company culture to experimentation and change?

    Resistant to change; traditional approach dominatesOpen in theory, but slow and cautious in practiceInnovation is encouraged; pilot projects happen periodicallyAgile, data-driven culture with continuous experimentation


    Question 1 of 10

    Strategy & Leadership

    Does your leadership have a clear AI strategy or roadmap?

    AI is not yet a topic at the leadership levelInterest exists but no formal strategy has been definedAI is part of the digital strategy with some milestones setDetailed AI roadmap with KPIs and executive sponsorship in place


    Question 1 of 10

    Strategy & Leadership

    Have you identified specific business problems AI could solve?

    No specific use cases identified yetGeneral ideas but nothing formally evaluated or prioritized1–2 use cases identified and scopedMultiple validated use cases with ROI estimates


    Question 1 of 10

    Budget & Investment

    Is there dedicated budget allocated for AI initiatives?

    No budget allocated for AI at this timeSmall exploratory budget — enough for proof-of-concept workBudget approved for a pilot project or initial toolingSignificant multi-year investment planned and approved


    Question 1 of 10

    Budget & Investment

    Have you assessed the expected business impact or ROI of AI?

    No ROI analysis has been doneRough estimates only, not tied to specific use casesPartial analysis completed for key use casesComprehensive ROI framework with metrics and timelines defined


    Question 1 of 10

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