Your customers are exploring AI, whether IT approved of it or not.
Omdia research shows that 93% of enterprises are already using AI applications. Employees are pasting company data into consumer AI tools and experimenting with Microsoft Copilot, ChatGPT, Claude, and other large language models (LLMs), often faster than their organizations can establish the governance needed to use them securely. Microsoft’s Work Trend Index reports that AI usage among knowledge workers exceeds 75%, yet most Microsoft 365 environments were never built with AI in mind.
For MSPs, that gap is the opportunity. Organizations are actively looking for guidance on how to adopt AI securely and responsibly. The top implementation concerns are data security (43%) and identity security (36%), while data privacy violations rank as the top overall adoption concern (33%). By helping customers become AI-ready, an MSP opens the door to recurring managed services focused on Copilot readiness, AI governance, compliance, data security, and ongoing optimization.
The question isn’t whether your customers will adopt AI. It’s whether you can help them do it securely, consistently, and at scale.
What Is AI Readiness?
AI readiness is the process of preparing an organization’s Microsoft 365 environment, data, permissions, and governance policies for AI technologies like Microsoft Copilot.
Most organizations assume AI readiness begins with licensing. In reality, it starts with the quality, security, and governance of the data AI can access. The State of AI Report highlights 62% of organizations still experienced at least one unauthorized AI data access incident in 2025.
A proper AI readiness assessment evaluates:
- Microsoft 365 governance
- SharePoint and Teams permissions, including oversharing risk
- Data classification and sensitivity labels
- Compliance posture and regulatory requirements
- Identity and access management
- Workspace governance and lifecycle management
- Skipping these steps can expose sensitive content and limit the value AI is meant to deliver.
For MSPs, this is where differentiation begins. Packaging AI readiness assessments, governance consulting, remediation, Copilot deployment, and ongoing optimization into a structured offering creates a repeatable, revenue-generating service model. rather than a one-time project.
Why Microsoft Copilot Readiness Matters
Copilot operates within the boundaries of your Microsoft 365 environment. If something is overshared, outdated, or ungoverned today, Copilot can surface it instantly tomorrow.
Common Copilot readiness gaps MSPs uncover include:
- Overshared SharePoint sites.
- Excessive or stale user permissions.
- Inactive guest accounts that never lost access.
- Poorly governed Teams workspaces.
- Missing sensitivity labels.
- Unstructured, duplicate, or outdated content.
- Inconsistent compliance controls.
These challenges are not new. AI simply accelerates their impact and visibility — making proactive governance essential.
Why AI Governance Is the Bigger, Longer-Term Opportunity
As Copilot adoption grows, so does pressure from executives, security teams, and compliance leads, all of whom want assurance that AI is being used safely and responsibly. This shift transforms AI governance from a one-time project into a continuous managed service.
Recurring AI governance opportunities include:
- Monitoring and reducing data exposure risk.
- Managing permissions and access controls.
- Implementing and maintaining sensitivity labels.
- Supporting compliance and regulatory requirements.
- Conducting regular governance and access reviews.
- Managing information lifecycle and retention policies.
- Continuously reassessing AI readiness as environments evolves.
The result is a sustainable service model built on ongoing value delivery.
How MSPs Can Monetize AI Readiness
Every Copilot conversation eventually circles back to the same questions: Are we ready for AI? Could sensitive information be exposed? What governance needs to be in place first? How do we manage AI over time?
These aren’t licensing questions. They’re advisory questions, and that’s exactly where MSPs create the most value.
A single AI readiness assessment often expands into:
- Microsoft 365 governance consulting.
- Permission remediation projects.
- Data security improvements.
- Compliance reviews.
- Copilot deployment services.
- User adoption programs.
- Ongoing AI governance services.
What begins as an initial engagement becomes a long-term relationship centered on outcomes, not transactions.
How AvePoint Elements Helps MSPs Scale AI Services
The hard part of AI readiness isn’t understanding governance. It’s delivering it consistently across dozens or hundreds of customer tenants. Manual assessments and remediation efforts do not scale efficiently.
AvePoint Elements provides a multitenant operational layer for Microsoft 365, enabling MSPs to standardize governance and automate service delivery. MSPs can:
- Assess Microsoft 365 environments for AI readiness.
- Identify governance gaps and data exposure risks before AI surfaces them.
- Apply consistent governance and security baselines across every tenant.
- Automate workspace and information lifecycle management.
- Monitor tenant health, compliance, and governance continuously.
- Standardize Copilot readiness services across the entire customer base.
- Deliver recurring AI governance offerings without rebuilding the process each time.
With AvePoint Elements, MSPs can scale services without a corresponding increase in operational overhead.
From AI Readiness Assessment to Recurring Revenue
Leading MSPs are building full AI service lifecycles rather than treating Copilot as a one-time deployment.
A scalable model typically includes:
- Readiness assessment in AI governance, security, permissions, and compliance.
- Risk remediation of oversharing, outdated access, and policy gaps.
- Data foundation development through classification, structure, and lifecycle.
- Secure Microsoft Copilot deployment with governance controls in place.
- Adoption enablement to ensure business value.
- Continuous governance through monitoring and optimization.
Each phase strengthens the customer relationship and shifts the conversation from licensing margins to measurable outcomes.
Microsoft 365 enables productivity. AvePoint Elements enables MSPs to operationalize and scale AI services efficiently.
Ready to expand your AI service offerings and drive recurring revenue?
Tawanda Matongo is a Product Marketing Manager at AvePoint, driving GTM strategy for AvePoint Elements and channel-focused solutions. With expertise in B2B SaaS, channel marketing, and partner enablement, he helps MSPs scale secure, multi-cloud services. Tawanda draws on experience from Ingram Micro, Microsoft, and VMware, and is passionate about transforming market insights into high-impact campaigns that drive measurable growth.