Accelerator |

Copilot Studio | Fabric

AI-Ready Data Foundation

Build the Foundation for AI Success

Only around 12% of organizations have data that’s truly “AI-ready” — high quality, well-governed, and accessible enough to support meaningful AI adoption. This workshop helps you become one of them. We’ll validate your current environment and help you build a scalable foundation using Microsoft Fabric and Databricks — so you can support Copilot, predictive analytics, and ML without compromising performance or control.

Build the Foundation Before You Build the Solution

AI can only deliver results if your data is ready.

But for most teams, the reality is messy pipelines, unclear governance, and infrastructure that wasn’t built with AI in mind. This workshop is for internal data, BI, and development teams who need to validate and strengthen their foundations before scaling Copilot, machine learning, or predictive analytics.

We’ll assess your current environment and help you build a modern, AI‑ready foundation with various tools you may already own such as Microsoft Fabric and/or Databricks — so your data is clean, secure, and structured for performance at scale.

Because without the right setup, AI won’t deliver the outcomes you’re aiming for.

What this Workshop Covers

Data Readiness Assessment

We’ll evaluate the quality, governance, and accessibility of your data sources — so you know what’s AI-ready, and what’s not.

Fabric Workspace Setup & Governance

Get your Microsoft Fabric environment structured the right way, with roles, permissions, and controls that support scalable AI use.

Databricks Integration

If applicable, connect Fabric to Databricks and lay the foundations for advanced analytics and machine learning — without compromising performance or security.

AI Use Case Roadmap

We’ll help you pinpoint where AI can deliver real value, from predictive models to Copilot for Power BI and beyond.

Your AI Data Foundation, Done Right

By the end of this 6–8 week engagement, your team will have:

A modern data environment aligned with Microsoft’s AI stack (Fabric + Databricks)

Seamless integration across platforms to support AI and advanced analytics

Clear governance structures to ensure data security, accessibility, and performance

A tailored roadmap of high-impact AI use cases for your business

The confidence to move from exploration to execution, with the right infrastructure in place

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.

Build Smarter AI. Start with Better Data.

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

This workshop helps your data and BI teams create a secure, scalable foundation that’s built for AI — whether you’re rolling out predictive models, Copilot for BI, or full-scale machine learning.

Start with the right foundations.

talk to a rocker

Build Smarter AI.
Start with Better Data.

AI-Ready Data Foundation Workshop FAQs

Who is this workshop for?

This is for internal data, analytics, BI, and development teams who need to ensure their data environments are ready for AI — secure, structured, and scalable.

How long does the workshop take?

This is a 6–8 week engagement, delivered through a combination of virtual and in-person interactions with your team. The timeline includes discovery, data assessment, environment setup in Microsoft Fabric, Databricks integration, and roadmap development — all designed to fit around your existing workflows without disruption.

Do I need to be using Fabric or Databricks already?

Nope. Whether you’re exploring Microsoft Fabric and Databricks or already using them, we’ll meet you where you are and tailor the workshop to your setup.

What does "AI-ready" data actually mean?

It means your data is high-quality, accessible, well-governed, and structured in a way that AI models (and the teams building them) can actually use — without months of cleanup.

How technical is this workshop?

You don’t need to be a machine learning engineer. The workshop is designed for technical teams, but focused on architecture, readiness, and use cases — not model building.

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.