AI Data Readiness Assessment

Packaged - Workshop

Power BI | AI Agents

Fast-Track AI Readiness with a Trusted Data Foundation

This engagement helps organizations get ready to scale AI and Copilot initiatives. It assesses data, governance and operating readiness to ensure AI investments are built on reliable, secure and business-aligned data.

We identify the gaps across data architecture, governance, skills and your operating model. This helps leaders understand what needs to change before they commit to production.

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Are you AI-ready?

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

AI use cases are disconnected from business priorities.

Heavy reliance on spreadsheets for reporting and analysis.

Data ownership, governance and decision rights are undefined.

Data is fragmented across systems with limited integration.

Analytics and AI exist, but are difficult to move past experimentation.

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

What This Assessment Covers

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 whether your current analytics setup can support AI development and experimentation.

Governance, Security & Trust Review

Evaluate data governance, access controls and compliance

Current State Data Assessment

Evaluate data architecture, platforms, integrations and data quality.

Skills & Capacity Assessment

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

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What You Walk Away With

By the end of this 2-3 week engagement, your team will have:

A clear view of where your data stands across quality, governance and architecture

An AI Readiness Report Card with prioritized gaps and what to tackle first

Confidence in which AI use cases are viable for your business right now

A shared understanding across business, IT and leadership of next steps

The foundation to move from pilots to production with purpose

What AI-Ready Looks Like in Practice

Good governance isn’t just a checkbox, it enables secure, scalable AI.

In this short walkthrough, our team breaks down how Dataverse security works using real-world examples.

You’ll learn how teams can organise access, roles and ownership in Power Platform. This helps protect sensitive data and maintain performance as they grow.

Build Smarter AI. Start with Better Data.

Most AI projects fail because the data isn’t ready.

This assessment helps your data and BI teams build a secure, scalable base. It’s useful for rolling out predictive models, Copilot for BI, or full-scale machine learning.

Start with the right foundations.

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AI-Ready Data Readiness Assessment FAQs

Who is this assessment for?

This is for business users, data analytics and BI teams who need to ensure their data environments are ready for AI - accurate, secure, structured and scalable.

How long does the assessment take?

The timeline depends on your organization's complexity and where you're starting from. We'll scope it properly once we understand your environment.

Do I need to be using Fabric or Databricks already?

No. We'll tailor the assessment to your current environment, regardless of where you are with Fabric or Databricks.

What does “AI-ready” data actually mean?

It means your data is accurate, secure, accessible and governed well enough that AI models can actually use it.

What will we walk away with?

A clear understanding of where your data stands today, what needs to change and a roadmap to get there - including setup support for Fabric, Databricks integration and a prioritized AI use case list.

You have a vision.
Our experts will help you achieve it.

Talk to a Rocker!