Governance & AI Readiness

Make sure your data is ready for AI.

Copilot and other AI tools are only as good as the data and access controls behind them. We review who can reach what, find and label sensitive data, fix data quality problems, and give you a written plan.Access, sensitive data, and data quality in order before AI relies on them.

An access review, sensitivity labels on data, and data quality checks, ending in an AI-ready badge

AI works with what your data already allows

Tools like Copilot, Microsoft's family of AI assistants, draw on the data your people can already reach. If access is too loose, sensitive data is unlabeled, or data quality is poor, AI makes those problems easier to see and harder to ignore.

We sort out those three things first, so you can roll AI out knowing what it can see and how far to trust what it says.

What you get

Tighter access, labeled sensitive data, quality problems addressed, and a written summary with a prioritized plan for what's left.

What's included

Four pieces, in one project.

Access review

Who can reach which data, and tightening access controls so AI tools only see what they should.

Sensitive data discovery and labeling

Using Microsoft Purview, Microsoft's data governance service, to find, classify, and label sensitive data.

Data quality checks

Finding and fixing the quality problems in the datasets that AI and your reports depend on.

Written findings and plan

A short written summary of where your data stands for AI, and a prioritized plan for what to do next.

How it works

A scoped project. Scope and timing are agreed with you before work starts.

1

Scope

We agree which data and systems are in scope, the access we need, and the timing.

2

Review and fix

We review access, find and label sensitive data, and work through data quality problems.

3

Report

You receive the written findings and a prioritized plan for what's left.

Where it fits

Governance & AI Readiness is a project. Ongoing care is separate.

Part of the Fabric path

On our Microsoft Fabric path it is the governance step, after the Assessment and Power BI migration.

Keep it that way

Ongoing access administration and monitoring are part of Managed Fabric.

One plan for everything

Complete Care covers SQL Server, Power BI, and Fabric under one monthly plan.

When this makes sense

  • Leadership wants Copilot or AI, but you're not sure your data and access controls are ready
  • Nobody can say with confidence who has access to which data
  • Sensitive data is spread across systems and nobody has labeled it
  • Reports and datasets disagree, and no one owns data quality

Common questions

No. The work prepares your data and access controls whether you're about to start with AI or still deciding.

Microsoft's service for finding, classifying, and labeling data, and for governing who can use it. We use it to find and label your sensitive data.

It depends on your environment, so we agree timing with you before work starts. This is a scoped project rather than a fixed-length review.

Access to review your environment, agreed up front and kept as limited as the work allows, and a point of contact who knows your data. We'll confirm exactly what's needed when we scope it.

No, it's a project. Ongoing access administration and monitoring are part of Managed Fabric, or of Complete Care if you want one plan for SQL Server, Power BI, and Fabric. Tell us what you need and we'll talk it through.

Get your data ready for AI.

A scoped project covering access, sensitive data, and data quality, with a written plan.

Talk to Us About AI Readiness