MB Solutions
Scaling AI Readiness Assessments as an MSP Service
From manual PowerShell-based audits to a scalable, white-labeled Copilot advisory practice
About MB Solutions
Founded in 1994, MB Solutions is a Microsoft-centric IT consultancy and managed service provider that helps small and mid-sized businesses modernize, secure and scale their IT environments. Having evolved from traditional on-premises infrastructure to a cloud-first approach, the company now specializes in Microsoft 365 and next-generation technologies like Copilot, positioning clients to confidently adopt AI and drive future-ready operations.
Visit MB Solutions WebsiteDays → Hours
What previously took 8 to 12 hours of PowerShell plus 2 days of manual analysis now completes as an automated 2-hour scan.
Client-Ready Reports Under MB Solutions Brand
Executive summary and CAF-aligned dashboards delivered with MB Solutions branding — no extra design or copy work required.
Entry-Point for Managed Copilot Services
AI Readiness becomes the gateway to a recurring Copilot advisory and managed service offering for SMB clients.
Related Resources
Explore the AI Readiness Assessment platform, the MSP Program, and guidance for Copilot deployment.
What MB Solutions Scans During Each AI Readiness Assessment
A single read-only OAuth scan replaces multiple PowerShell scripts and admin portals — AI Readiness Assessment for MSPs
Microsoft Teams & Channels
Inactive owners, container labels, private channels and guest collaboration paths
SharePoint & OneDrive
Anonymous links, broken inheritance, oversharing risks across client tenants
Exchange Online
External mail forwarding, suspicious inbox rules, full-access delegates
Entra ID & Identity
Admin accounts without MFA, dormant guests, conditional access gaps
Turning AI Readiness into a Scalable Revenue Opportunity for MSPs
How MB Solutions is evolving from manual assessments to automated insights with Cloudiway.
Key Outcomes
- Reduced assessment time from days of manual work to hours of automated scanning
- Ability to run multiple assessments in parallel without active supervision
- Improved presentation of findings through executive-ready reports
- Early foundation for scalable AI readiness and Copilot advisory services
- Identified gaps and opportunities to refine assessment accuracy and actionability
When Manual Assessments Limit Growth
As Copilot adoption continues to grow, it has become a central area of focus for MB Solutions in delivering client value. Because Copilot inherits existing permissions and access controls, businesses need to undergo an AI readiness assessment to ensure they haven't inadvertently shared sensitive data or exposed information.
For MB Solutions, delivering these assessments was a highly manual and time-consuming process. The team relied on a combination of PowerShell scripts and manual analysis to evaluate client environments. Running the scripts alone could take anywhere from 8 to 12 hours, depending on the tenant's size. From there, consultants spent an additional two days interpreting the data, identifying risks, and building client-ready presentations.
And while the scripts generated data, they failed to deliver actionable results.
"It didn't give us any conclusions, just the raw data. It took quite some time to figure out what to do with the data and how to present it."
— René Henriksen, Cloud & Power Platform Consultant at MB Solutions
Time wasn't the only challenge. The manual assessments produced large CSV files listing every potentially overshared file or site, with no context. Teams had to manually determine whether each item posed a risk, taking into account factors such as sensitivity labels and intended access. This made the process both time-consuming and error-prone.
For their clients, the results were too technical and difficult to engage with.
"Because the assessment was very data-heavy, it was dull for our clients. The data was very rigid, and it didn't include everything needed for a proper assessment."
— René Henriksen
The combination of heavy manual work, limited clarity, and low client engagement meant that MB Solutions could deliver about 10 assessments each month. With so much effort and so little to show for it, the team knew they needed a different approach.
Turning Technical Noise Into Automated Insights
Seeking a more scalable method, MB Solutions became an early adopter of Cloudiway's AI Readiness Assessment tool. While some tenant app connections required multiple attempts, a known behavior in similar tools, the overall onboarding experience was smooth.
"Cloudiway's Assessment solution was far easier because you got the visual UI."
— René Henriksen
Once connected, the platform automated the assessment process across Microsoft 365 workloads, including SharePoint, OneDrive, Teams, and Entra ID. The difference in execution time was immediate:
- A 53-user tenant scan completed in approximately 2 hours
- A larger 248-user tenant scan completed in about 7 hours
Compared to the previous 8–12-hour script runs and the two days it took to analyze the data, this represented a significant operational improvement. More importantly, the output shifted from raw data to structured, visual insights.
"The output in general is far better than what we had before. There are quite a few nice dashboards that we can use to present to the client directly."
— René Henriksen
The assessment also generated an executive summary and a prioritized remediation plan aligned with Microsoft's Cloud Adoption Framework (CAF). The CAF scoring was particularly useful, providing stakeholders with a simple, easy-to-understand metric that translated technical improvements into clear business impact for executive stakeholders.
Faster Delivery. Better Insights.
The difference was night and day. What once required days of effort now takes only hours, freeing consultants to focus on higher-value advisory work.
"Cloudiway gave us visibility into things like inactive owners, container labels, and private channels, as well as additional insights into user activity. This provided a much more holistic view of the environment."
— René Henriksen
One standout benefit for MB Solutions was the white-labeling, which enabled it to deliver polished, client-ready reports with no extra work. This elevated the service from a dense technical report to an engaging consultation that could serve as a springboard for future engagements.
"The way it's presented will give us quite an edge. The executive summary is brilliant because, in most cases, the CEO, CFO, or IT administrator just needs to know where they are at."
— René Henriksen
Operationally, the automation enabled MB Solutions to run multiple assessments in parallel, turning AI readiness into a scalable, repeatable service.
Next Steps: Scaling AI Readiness as a Core Service
Henriksen noted that some areas of the tool could be further refined and is working closely with Cloudiway to strengthen these capabilities. Looking ahead, MB Solutions sees the tool playing a key role in its business strategy, supporting both new business and ongoing service offerings.
"We're working on creating a managed service for Copilot, where this could be a perfect entry point. If customers sign up for the managed service, they get the assessment included. But I can also see us offering the assessment on its own as a paid service, or using it to bring in new customers and start the conversation."
— René Henriksen
In doing so, MB Solutions is building a scalable AI readiness practice that drives growth while supporting clients on their transformation journey.
Why PowerShell-Based AI Readiness Audits No Longer Scale
Key obstacles that needed to be overcome
- PowerShell-based AI readiness audits required 8 to 12 hours of script execution per tenant, plus 2 days of manual data interpretation
- Scripts produced raw CSV output with no prioritization or risk classification — consultants had to derive conclusions by hand
- Client deliverables were dense, technical and dull, limiting engagement and conversion to remediation services
- Limited capacity to roughly 10 assessments per month constrained the growth of the Copilot advisory practice
- Each assessment required senior consultant time, blocking junior staff from contributing to the workflow
Why Cloudiway Was Selected
How Cloudiway addressed each challenge
Cloudiway AI Readiness Assessment platform automates the scan across SharePoint, OneDrive, Teams, Entra ID and Exchange in roughly 2 hours per tenant
Visual UI replaces raw CSV output with structured dashboards, executive summary and prioritized remediation plan
CAF score from 1 to 5 translates technical findings into a metric that CEOs, CFOs and IT administrators understand instantly
Multiple assessments now run in parallel without supervision, multiplying MSP capacity per consultant
White-label branding lets MB Solutions present client-ready reports under its own brand at no extra effort
From PowerShell to a Scalable Copilot Practice
Outcomes that exceeded expectations
Days → Hours
AI readiness assessment turnaround per client tenant, freeing senior consultants for advisory
Parallel Scans
Multiple assessments run simultaneously across SMB clients with no active supervision required
Executive-Ready
Visual dashboards and CAF score replace dense CSV exports, lifting client engagement
Service Foundation
Becomes the entry-point for a new managed Copilot service offering
The output in general is far better than what we had before. There are quite a few nice dashboards that we can use to present to the client directly. The way it's presented will give us quite an edge. The executive summary is brilliant because, in most cases, the CEO, CFO, or IT administrator just needs to know where they are at.
Frequently Asked Questions
Common questions about the MB Solutions AI Readiness Assessment engagement and MSP practice model
How did MB Solutions move from manual AI readiness audits to an automated platform?
MB Solutions previously ran AI readiness audits using a combination of PowerShell scripts (8 to 12 hours of execution depending on tenant size) and manual analysis (an additional 2 days per assessment). After adopting the Cloudiway AI Readiness Assessment platform, the team replaced the script-and-CSV workflow with an automated read-only OAuth scan that completes in roughly 2 hours and produces structured visual reports out of the box.
Why is white-labeling important for an MSP running Copilot AI readiness assessments?
White-labeling lets MSPs deliver client-facing reports under their own brand — logo, colors and contact details applied consistently across the executive summary, the technical findings and the platform interface. For MB Solutions, this elevated the assessment from a dense technical export to an engaging consultation that can serve as a springboard for follow-on Copilot advisory and remediation engagements.
Why did clients struggle with the previous PowerShell-based AI readiness audits?
PowerShell scripts produced raw CSV files listing every potentially overshared file or site, with no context, prioritization or risk classification. Consultants had to manually correlate the data with sensitivity labels and intended access. As MB Solutions described it, the output was 'data-heavy and dull for our clients' — limiting engagement, executive buy-in and conversion to remediation services.
What scale of Microsoft 365 tenants did MB Solutions assess with the platform?
MB Solutions ran the Cloudiway AI Readiness Assessment on multiple tenant sizes: a 53-user tenant scan completed in approximately 2 hours, and a larger 248-user tenant scan completed in about 7 hours. Compared with the previous 8 to 12-hour PowerShell runs and the 2 days of manual analysis that followed each one, the platform represented a substantial operational improvement.
How does an MSP turn AI Readiness Assessments into recurring revenue?
MB Solutions is building a managed Copilot service where the AI Readiness Assessment is included for clients who subscribe, and is also offered as a paid stand-alone audit to bring in new prospects. Each engagement opens follow-on opportunities in Copilot licensing, remediation services and ongoing governance. Cloudiway's AI Readiness MSP Program provides the white-label assessment, partner enablement and revenue programs that support this practice model.
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