Many MSPs have built their businesses around selling licenses, managing infrastructure and providing support. While those services remain essential, they are becoming increasingly difficult to differentiate. As AI reshapes the SMB market, an opportunity has emerged that delivers targeted solutions to solve real business challenges.
Custom AI solutions can help MSPs move beyond competing on price and instead compete on value. These solutions create stronger client relationships, higher-margin services and differentiated offerings that competitors can’t easily replicate. Most importantly, they position MSPs as strategic AI advisors who help SMBs solve problems, rather than just technology providers who manage systems.
Why SMBs Need Trusted AI Advisors
As SMBs rush to adopt AI, they may experiment with tools without fully realizing the risks. Employees turning to free consumer AI applications to solve business problems creates a growing challenge around shadow AI – tools that may not meet their organization’s security, compliance or governance requirements.
This poses a significant opportunity for MSPs and Managed Intelligence Providers (MIPs) to lead outcome-focused AI conversations and help customers adopt AI responsibly.
Microsoft CEO Satya Nadella recently described what he calls a “reverse information paradox” taking place in the market, where organizations are actually paying for AI twice: once in cash to use the product, and again with their proprietary knowledge they input into the AI model. With each prompt and correction used to make the model perform better, organizations share valuable insider information about their business they may not fully realize they’re giving away.
That’s why platform choice and AI governance matters.
Microsoft’s AI ecosystem is designed to help organizations build secure, governed AI experiences grounded in their own business data. For example, Microsoft Copilot reasons over Microsoft Graph, pulling context from sources such as SharePoint, Teams, Outlook and other connected business systems. Information retrieved through Microsoft Graph is never used to train AI models. Likewise, your prompts, outputs and customer data used within Microsoft Foundry are not shared with AI model providers, nor are they used to improve Microsoft or third-party services without explicit permission.
For SMBs exploring AI tools within their work environment, it’s imperative they know who has access to their data and how their inputs are being used within the model.
Copilot Studio vs Microsoft Foundry: What’s the Difference?
Microsoft Copilot Studio and Microsoft Foundry are two key platforms in Microsoft’s AI ecosystem that allow SMBs to create custom AI applications and agents. While both enable businesses to build intelligent, task-oriented solutions, they are designed for different audiences and use cases.
- Copilot Studio is best suited for clients who want a low-code, plug-and-play option in a SaaS environment to quickly build conversational agents and business workflows.
- Microsoft Foundry enables agent building within your customer’s Azure subscription and is best suited for clients in need of complex, custom solutions with full control over the environment, updates and data residency.
Example Use Cases for Each Platform
| Solution | Platform | Business Outcome | Deciding Factor |
|---|---|---|---|
|
Customer support agent
A retailer deploys an agent on their website to answer FAQs, check order status and schedule appointments. |
Copilot Studio | Reduces workload, improves response times and enhances customer satisfaction without increasing headcount. | The agent will perform a standard set of repetitive tasks with limited customization required. Copilot Studio supports integration with internal data sources and business applications (CRM, SharePoint, etc.) that enables AI to retrieve account-specific information and provide personalized support. |
|
Internal IT helpdesk
An internal agent that automates password resets, software requests and troubleshooting. |
Copilot Studio | Frees up IT staff, reduces downtime and empowers employees to resolve issues quickly with self-service. | IT helpdesk requests typically follow well-defined support processes and predictable workflows, making them well suited for a low-code agent experience. Copilot Studio integrates natively with Microsoft 365 and Teams, simplifying deployment within existing employee workflows. |
|
Automated document processing
A lender uses AI to ingest loan applications, extract data from scanned documents and validate information automatically. |
Microsoft Foundry | Accelerates loan approvals, reduces manual errors and improves compliance. | Foundry orchestrates complex, data-intensive document workflows, integrates with back-office systems and scales as document volume grows. |
|
Multilingual voice assistant
A communication and money transfer app uses AI to power multilingual voice assistance to replace complex navigation with real-time voice integration. |
Microsoft Foundry | Increases digital wallet transactions and helps users overcome language barriers to complete tasks like international money transfers, payments and micro-loans. | Azure AI Speech within Foundry powers voice recognition and assistance with multilanguage speech models that embeds into the SaaS application. The Voice Live API enables low-latency, high-quality speech-to-speech interactions for voice agents and fits within strict regulatory environments. |
Why Microsoft Foundry Matters for MSPs
One of the biggest advantages of Microsoft Foundry is flexibility.
Foundry provides access to more than 11,000 AI models, including OpenAI’s GPT models, Anthropic’s Claude and a growing collection of industry-specific models. MSPs can select the right model for the job rather than forcing every workload onto a single AI platform.
That flexibility enables partners to solve more complex customer challenges – from customer service automation and document intelligence to industry-specific workflows and multi-agent systems. Additionally, the economic opportunity is significant. According to Forrester’s recent Total Economic Impact™ (TEI) study, organizations using Microsoft Foundry for custom AI development dramatically increased their speed to market and reported 327% ROI over 3 years, with payback in under 6 months.
Ground Agents in Business Context with Foundry IQ
AI is only as useful as the information it can access. The Foundry model powering an agent has limited knowledge and can’t access proprietary data on its own. Foundry IQ helps connect agents to trusted business knowledge so they can reason over customer documents, policies, contracts, records and other organizational content rather than relying solely on the underlying language model. This allows MSPs to build agents that access permission-aware knowledge and understand the unique context of each customer to provide more accurate, relevant outputs.
Ship Solutions Faster with Built-In AI Services
Rather than building every AI capability from scratch, MSPs can leverage pre-built services within Microsoft Foundry to create richer, more sophisticated solutions.
- Speech for voice-enabled experiences, speech-to-text (and vice versa) call transcription and speech translation
- Language and Translator for summarization, sentiment analysis, classification, multilingual support and document translation
- Document Intelligence for extracting information from invoices, contracts, forms and other structured business documents
- Content Understanding for analyzing complex unstructured content across documents, images, audio and video
- Face and Vision services for identity verification, image analysis and computer vision scenarios
Together, these services allow MSPs to build agents that can reason over massive amounts of data and effectively manage the speed at which data is collected and processed.
What Pax8 Partners are Building with Microsoft AI
Across the Pax8 partner ecosystem, MSPs are using Microsoft AI platforms to solve meaningful business problems.
AI Bot Works 24/7 to Support Domestic Violence Crises
In the U.S., our partner Razor Tech helped Laurel House implement a self-service AI support bot and Analytics Dashboard powered entirely by Microsoft Azure. For more than 40 years, Laurel House has provided critical support services to survivors of domestic violence. But like many nonprofit organizations, demand for assistance continued to grow while staff time and resources remained limited. Built on Microsoft Foundry using Azure OpenAI, Azure App Service and Retrieval-Augmented Generation (RAG) architecture, the AI bot delivers empathetic, accurate responses based exclusively on Laurel House’s verified resources, programs and support information.
Impact:
- 24/7 support availability and delivers answers in less than 3 seconds.
- 75% of responses answered confidently from the knowledge base.
- 100% crisis detection accuracy. Every crisis indicator correctly routed to emergency contacts.
- Staff saves approximately 8-12 hours per week.
The MSP’s AI Agent Discovery Checklist
Use the following framework to help you identify AI opportunities within your customer base and determine whether Copilot Studio or Microsoft Foundry is the right platform.
1. Define your customer’s business problem
Find out your customer’s biggest headaches. Pick a single, high-frequency business problem your client complains about.
- What are employees frustrated with the most on a daily basis?
- Is there a process that’s consuming the most time?
- What repetitive questions do people keep asking?
- Where do errors occur most often?
- Are there things that slow down revenue generation or customer service?
2. Determine whether AI can solve it
Not every problem needs AI. Traditional automation may be enough if the process is simple, rules-based and predictable. For example, “If invoice amount >$5,000 send to manager for approval.” This doesn’t need an agent. AI becomes useful when unstructured data exists across multiple systems, employees spend too much time searching for information and human judgement is required to make a decision.
3. Quantify the opportunity
Find out exactly what is being lost because of the business problem.
- How many times does this happen per day?
- How long does it take?
- What does the delay cost?
If you can provide a technical solution that will save your clients hours in productivity, decreased down time or dollars saved in hourly labor, that’s worth exploring.
4. Evaluate requirements
Figure out what tasks the agent will need to perform. Does it need to:
- Read emails?
- Understand documents?
- Summarize conversations?
- Make recommendations?
- Take actions?
- Coordinate multiple systems?
Next, what information does the agent need to access?
Examples:
- CRM records
- ERP data
- SharePoint
- SQL databases
- Knowledge bases
- Customer contracts
- Ticketing systems
- External APIs
The more actions the agent must take and the more systems it must access, the more likely it is a custom solution is needed.
5. Choose a platform
Once you’ve defined the requirements, select the platform that aligns with the customer’s goals.
- If they need a quick, low-code conversational experience, Copilot Studio may be sufficient.
- If they need a custom digital employee capable of reasoning across systems, applying business logic and taking action, then Microsoft Foundry is likely the better choice.
Start delivering outcome-based AI with Pax8
AI represents one of the largest service creation opportunities MSPs have seen in years. Customers need solutions that reduce cost, eliminate manual work, improve customer experiences and unlock business growth. Microsoft’s AI ecosystem gives partners the flexibility to build those solutions. It can be daunting to know where to start, and that’s where Pax8 can help.
Pax8 is leading the channel in helping partners evolve into modern MSPs in the agentic era, with Managed Intelligence Provider as the long-term destination for those who go the furthest. Partners new to AI should start with the Data and AI Guided Growth program to learn about AI transformation fundamentals and strategies. For partners who want to become MIPs, they can start their learning journey in the Managed Intelligence Provider (MIP) Program to understand their current AI maturity and get the plays to begin the transition from reselling software to delivering managed, outcome-driven intelligence to SMB customers.
When you’re ready to start selling Managed Intelligence Services (MIS), Pax8 Professional Services can help deliver real AI services to your clients on your behalf while your team builds the capability to take it over.
Partners can also accelerate their AI journey by attending Pax8’s AI Bootcamp where they will leave with the methodology and technical skills, including a Microsoft Foundry hands-on lab and a 90-day launch plan to start delivering AI services to clients.
Whether you’re looking to assess your AI readiness or start building custom AI solutions today, Pax8 has the resources to meet you where you’re at and the services to accelerate your growth.
