JLytics offers four short executive assessments, each designed for CEOs, founders and other organizational leaders evaluating their company’s relationship to data and AI. After you submit, our team reviews your responses and follows up within one business day with specific observations and a recommended next move.

Access is by request. Submit the form below; if you are a fit, we will send you a sign-in link by email. Once signed in, you can take any one, any combination, or all four assessments in any order.

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### Data-Driven Culture

*For leaders evaluating whether their leadership and organization actually want to be data-driven.*

Asks whether leadership wants the kind of evidence-based decision-making AI promises. Looks at leadership posture, data accessibility, trust in the numbers, organizational literacy, and how decisions actually get made when data and intuition collide. The single highest predictor of whether any later AI investment pays off.

**15 questions, about 10 minutes.**

### AI Ready Data Requirements

*For leaders trying to determine whether their data is in shape to support AI initiatives.*

Asks whether your data foundation can support AI. Covers data alignment, documentation, governance, access control, and operational monitoring. Useful when you have AI ambitions but are not yet sure the underlying data assets are ready for them.

**12 questions, about 8 minutes.**

### Data Operations Readiness for AI

*For leaders running operations that have already deployed, or are about to deploy, AI agents in production.*

Asks whether your operations can absorb AI agents in production with traceable decisions and known oversight. Covers process foundation, production decision rights, traceability, and how the workforce changes when automation lands. The runtime side of AI: once deployed, can you operate it responsibly?

**14 questions, about 9 minutes.**

### AI Workflow Audit Readiness

*For leaders making decisions about which workflows to point AI at, and at what level of human oversight.*

Asks whether you can pick the right workflow to automate before the capital is spent. Covers discovery rigor, impact-and-risk scoring, human-in-the-loop design, and the decision artifacts you keep. The diagnostic that runs upstream of building any AI system: does your firm have the discipline to choose wisely?

**12 questions, about 7 minutes.**

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### Request access

Once you submit, our team will review your request and email you a sign-in link if it is a fit.

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