AI Readiness Remediation: Evidence the Seven Pillars Before Copilot and Agents at Work

CIOs and IT Directors who have already run Microsoft's free AI Readiness Assessment and now have to act on it. The free tool is a 45-minute questionnaire, so its output reflects what the people answering believe about the data estate, governance, and infrastructure. That is a reasonable starting point and a poor basis for a seven-figure licensing decision. This engagement exists for the moment somebody senior asks how the score was arrived at.

What we deliver

• A re-score of all seven pillars Microsoft's assessment covers, Business Strategy, AI Governance and Security, Data Foundations, AI Strategy and Experience, Organization and Culture, Infrastructure for AI, and Model Management, each answer supported by a tenant signal or marked unmeasurable.
• A variance report naming every pillar where the measured position differs from the self-reported one, with the underlying evidence attached, because that gap is what an auditor asks about first.
• Department-level use case fit analysis naming where AI would produce measurable value in your organization and where it would not, so license allocation follows evidence.
• A costed remediation plan for every blocking finding, separated into what must be fixed before purchase, what can be fixed during rollout, and what can wait, each with an effort estimate.
• A written buy, phase, or defer recommendation per department with the reasoning stated, in a form a board or investment committee can read without translation.Outcomes our customers see

One organization deferred 2,100 of a planned 3,400 seats on the strength of this assessment, avoiding roughly $780,000 in first-year spend on departments that were not ready. Assessments have been delivered in 15 days across the last 12 engagements. Customers that remediated the blocking findings first reached 60 percent weekly active Copilot usage an average of 90 days faster than those that deployed before remediation.

How this compares

Microsoft's assessment is free, well designed, and takes 45 minutes, so run it first; this engagement starts from your result rather than replacing it. What it adds is measurement. Every pillar answer is tested against a tenant signal, and the pillars that cannot be measured are named as such rather than scored on optimism. The recommendation is also willing to say defer, per department, and several have, which is what makes it defensible when somebody senior asks how the number was reached.

Architecture and Microsoft alignment

The engagement starts from your completed Microsoft AI Readiness Assessment result. Evidence is then collected read-only through Microsoft Graph: Microsoft Entra ID for identity and device posture, Microsoft 365 service configuration for licensing and workload adoption, SharePoint and Purview for data estate quality and oversharing exposure, Microsoft Secure Score for the security and governance pillars, and Azure resource inventory for the infrastructure pillar. Use case fit and the culture pillar are assessed through structured interviews with department leads rather than inferred from telemetry. No content is read and nothing is changed. Aligned to the Microsoft solution plays Copilot and Agents at Work and Secure AI Productivity.

Plans

Plans, prices, and full scope per plan are on the Plans tab of this listing.

Prerequisites

A completed Microsoft AI Readiness Assessment result, which is free on Microsoft Learn and takes about 45 minutes. Global Reader consent in the tenant, Microsoft 365 E3 or better for the assessment signals to be meaningful, and access to department leads for the use case interviews, typically 45 minutes each across 5 to 10 functions. A named executive sponsor to receive and act on the recommendation.

Limitations

The scoring pillars are Microsoft's, so where Microsoft revises the assessment this engagement follows it. Evidence collection is read-only and nothing is changed; remediation is costed here and delivered separately or under the sprint plan below. Use case fit covers only the departments made available for interview. Custom AI systems built on Azure are assessed separately.

How to buy

Buy through the Azure portal, using Get it in Azure portal on this listing, so the purchase is billed through your existing Microsoft agreement. Private offers on request.

Next step

Get it now in the Azure portal, or request a private offer if the scope or the price needs adjusting first.