Workshop: AI Data Readiness Assessment

Packaged - Workshop

Power BI | AI Agents

Fast-Track AI Readiness with a Trusted Data Foundation

Designed for organizations preparing to scale AI and Copilot initiatives, this focused engagement assesses data, governance, and operating readiness to ensure AI investments are built on reliable, secure, and business-aligned data.

This assessment cuts through experimentation and assumptions to pinpoint gaps across data architecture, governance, skills, and operating model, giving leaders confidence to move from pilots to production with purpose.

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Are you AI-ready?

Common signals you're not yet AI-ready include:

AI use cases are unclear or disconnected from available data and business priorities.

Heavy reliance on spreadsheets or manual processes for reporting and analysis.

Data ownership, governance, and decision rights are undefined or inconsistently applied.

Data is fragmented across systems with inconsistent quality and limited integration.

Analytics and AI tools exist, but models are difficult to move from experimentation to production.

Security, compliance, and Responsible AI considerations are addressed late—or not at all.

What's Included:

Business & Use Case Readiness

Identify and prioritize the top AI use cases and map them to required data and capabilities.

Analytics & AI Enablement Review

Assess analytics tools and model development capabilities for AI experimentation and scale.

Governance, Security & Trust Review

Evaluate data governance, access controls, compliance posture, and Responsible AI readiness.

Current State Data Assessment

Evaluate data architecture, platforms, integrations, and data quality to determine AI suitability.

Skills & Capacity Assessment

Review technical and analytical skills, team bandwidth, and role alignment for AI delivery.

Readiness Summary & Roadmap

Deliver a practical AI readiness score with strengths, limitations, and prioritized next steps.

What AI-Ready Looks Like in Practice

Good governance isn’t just a checkbox — it’s what makes secure, scalable AI possible. In this short walkthrough, our team breaks down how Dataverse security works using real-world examples.

You’ll see how teams can structure access, roles, and ownership in Power Platform to protect sensitive data and maintain performance as they scale.

Ready to See What’s Possible?

This workshop gives your team a clear automation roadmap, a working prototype, and tangible ROI insights — all in just a few weeks.

If you’re looking for a faster way to demonstrate the value of AI and automation without the endless strategy decks, this is where to start.

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