When cluttered with outdated files, inconsistent policies, or underutilized features, AI tools struggle to deliver accurate results.
A Forrester Total Economic Impact study from 2022 highlights that optimizing Microsoft 365 yields an ROI of 205%, with potential savings from reduced hardware and software costs, plus time efficiencies like 1.5 hours per week per user in collaboration tasks. AI amplifies these benefits only when the foundation is solid.
What’s at stake?
A Forrester 2024 study on Microsoft 365 Copilot notes that organizations can reduce operating costs and enhance efficiency, but these gains depend on proper setup. Gartner forecasts that by 2026, more than 80% of enterprises will have adopted generative AI technologies or applications. Those unprepared may face delays, higher costs, or security issues.
Data disconnects
Copilot relies on accessing structured data across emails, documents, and chats. If SharePoint sites are disorganized or permissions are overly broad, it may retrieve irrelevant or incomplete information.
Self-audit questions:
- How much digital clutter exists, such as duplicate files or inactive channels?
- Are permissions set so users only access necessary data?
Quick action steps:
- Conduct a content inventory using Microsoft 365 admin tools to identify and archive files older than two years.
- Implement sensitivity labels via Microsoft Purview to classify and protect data automatically.
License waste
Unused or overlapping licenses inflate expenses while missing AI prerequisites, like specific Microsoft 365 plans required for Copilot features.
Self-audit questions:
- Are all licenses actively utilized?
- Do they align with AI capabilities, such as those enabling advanced data processing?
Quick action steps:
- Review licensing reports in the Microsoft 365 admin center to spot underused subscriptions.
- Reallocate them for better coverage.
Adoption lag
Low engagement with core tools like Teams or OneDrive can make Copilot feel disconnected, reducing its utility.
Self-audit questions:
- What are current usage patterns across departments?
- On a scale of 1–10, how comfortable are users with existing Microsoft 365 features?
Quick action steps:
- Survey teams to gauge adoption levels.
- Introduce basic training sessions on high-impact tools to build familiarity before AI rollout.
Compliance risks
AI processes potentially sensitive information, so weak governance can expose organizations to breaches or regulatory violations.
Self-audit questions:
- Are data loss prevention (DLP) policies in place?
- How effectively are sensitivity labels applied to protect confidential data?
Quick action steps:
- Enable DLP rules in Purview to monitor and block sensitive data in AI interactions.
- Form a cross-functional team to review compliance settings quarterly.
The AI readiness check
An AI readiness check is a systematic evaluation of your tenant across technology, processes, and people, with the goal of aligning the foundation to what AI actually needs. It produces a report identifying strengths, gaps, and a prioritized roadmap.
SharePoint, Teams, and OneDrive health
These platforms form the data backbone for Copilot. Inefficiencies like redundant sites or sprawl can hinder AI’s ability to retrieve accurate information.
Self-audit questions:
- Are Teams channels focused and active?
- Is content in OneDrive siloed when it could be collaborative in SharePoint?
Quick action steps:
- Scan for inactive sites using admin tools and consolidate them.
- Encourage best practices for organizing content to improve AI accessibility.
Microsoft 365 licensing
Ensuring licenses match needs prevents waste and unlocks AI features.
Self-audit questions:
- What percentage of features are unused?
- Are Copilot prerequisites met?
Quick action steps:
- Audit via the admin center.
- Adjust assignments to optimize costs and capabilities.
Tenant governance
Structured processes keep data organized and secure, which is essential for AI.
Self-audit questions:
- Is there routine monitoring for content lifecycle?
- Are DLP and governance policies enforced?
Quick action steps:
- Set up automated retention policies in Purview.
- Review them regularly to maintain a clean environment.
Security and compliance
AI requires robust protections to handle data safely.
Self-audit questions:
- How are file-sharing settings configured?
- Are sensitivity labels consistently used?
Quick action steps:
- Assess Purview tools for information protection.
- Update sensitive information types as needed.
People and processes
Human factors determine long-term success.
Self-audit questions:
- What’s the team’s AI literacy level?
- Are change management processes in place?
Quick action steps:
- Run a skills survey.
- Plan workshops on AI basics.
- Identify champions to promote adoption.
Optimization fuels AI success
Empirical data underscores the value. A Forrester study shows optimized Microsoft 365 environments boost ROI by 205%. An IBM report indicates AI can reduce customer service costs by up to 30%, with similar efficiencies possible in knowledge work via Copilot. As of 2025, Microsoft 365 has over 400 million commercial users, reflecting widespread adoption. Preparation through a readiness check maximizes these benefits.
What readiness unlocks in practice
Consider a scenario with 500 users. Without a check, Copilot adoption tends to linger at 20%, driven by data issues and a lack of training. With preparation, cleaning up sites, optimizing licenses, and building skills, adoption can reach 70%, yielding meaningful productivity lifts. In compliance-sensitive settings, addressing Purview gaps prevents risk while enabling confident AI use.
Why now
With features like SharePoint agents now generally available as of 2025, the integration work is accelerating. Delaying a readiness check compounds the gap. Acting now, through self-audits or deeper evaluations, puts the foundation in place before the rest of the rollout.