For years, the Managed Service Provider (MSP) business model has revolved around a relatively straightforward idea: businesses need technology, and someone needs to manage it.
MSPs built recurring revenue around managing endpoints, servers, networks, Microsoft 365 environments, backups, security tools and help desk services.
Cybersecurity expanded that model. Many MSPs developed more sophisticated security practices or evolved into Managed Security Service Providers (MSSPs), adding services such as managed detection and response, security monitoring, vulnerability management and compliance.
Now, Pax8 believes another transition is beginning.
The cloud marketplace company is promoting what it calls the Managed Intelligence Provider, or MIP: a technology provider that moves beyond managing infrastructure and applications and begins managing AI agents, automated workflows and intelligent systems on behalf of customers.
That may sound like another acronym in an industry already overflowing with them.
But there is an important business-model change underneath it.
MSP → MSSP → MIP
The easiest way to understand the MIP concept is to look at how managed services have evolved.
MSPs manage technology.
Their traditional responsibility is keeping a customer’s IT environment available, productive and supported.
MSSPs manage security.
They add continuous monitoring, detection, response, risk reduction and security expertise to the managed-services model.
MIPs manage intelligence and outcomes.
Instead of primarily asking, “How do we keep the customer’s technology running?” the conversation increasingly becomes:
“What business processes can we improve or automate using the customer’s technology, data and AI?”
Pax8 describes MIPs as providers that deploy and manage intelligent systems containing AI agents capable of reasoning, adapting and taking actions. The provider’s role therefore expands from managing software to orchestrating what Pax8 calls “digital labor.”
That distinction is important.
An MSP might deploy Microsoft 365.
An MIP might determine how AI agents operating across Microsoft 365 and other business applications can automate a customer’s quoting, onboarding, reporting or customer-service processes.
The technology stack is still important, but the business process becomes the product.
Pax8 Is Trying to Build the Infrastructure Behind the MIP
Pax8 isn’t merely talking about the MIP concept.
In June 2026, the company announced its MIP Program and Managed Intelligence Services (MIS) as part of a broader strategy intended to help partners develop and sell AI-driven services. Pax8 positioned these alongside its Agent Store as a way for partners to move toward outcome-driven AI transformation.
That makes the Pax8 strategy particularly interesting.
Pax8 became an important part of the MSP ecosystem by simplifying how service providers procure, provision and manage cloud products.
Now it appears to be attempting something similar with AI.
Instead of every MSP individually figuring out which AI agents exist, how they should be deployed, how they should be managed and how they can be monetized, Pax8 wants to create an ecosystem where partners can obtain many of those capabilities through a familiar channel model.
One of the foundations is the Pax8 Agent Store.
Pax8 describes it as an AI agent marketplace designed for the SMB economy where partners can discover, deploy, bundle, build, manage and monetize agents. Pax8 says the ecosystem includes companies such as Microsoft, AWS, Grammarly, Shopify and ZoomInfo.
That could make the Agent Store for AI agents something conceptually similar to what cloud marketplaces became for SaaS.
Explore Pax8’s Managed Intelligence resources
The Six-Step MIP Model
Pax8’s framework becomes more concrete in its MIP Playbook.
The company divides the MSP-to-MIP transition into six “plays”:
Discover → Sell → Buy → Build → Implement → Manage
Each represents a different part of the emerging AI services lifecycle.
1. Discover
The starting point isn’t necessarily AI.
It’s the customer’s business processes.
Pax8 recommends identifying what it calls process debt: repetitive, fragmented or manual work that consumes employee time.
That changes the discovery conversation MSPs have with customers.
Instead of asking only about endpoints, servers, security requirements and software licenses, providers may begin mapping workflows.
Where is information being manually entered?
Where are employees moving information between systems?
Where are repetitive decisions being made?
Where are customers waiting unnecessarily?
Those questions uncover opportunities where automation and AI agents could potentially create measurable value.
2. Sell
This may be the most disruptive part of the model.
Traditional MSP pricing commonly revolves around users, devices, locations or bundles of technology.
Pax8 envisions MIPs experimenting with pricing based on things such as agents, actions, workflows and outcomes.
Imagine an MSP automating part of a customer’s accounts-receivable process.
Instead of charging $X per user per month for another software product, the provider might charge based on the workflow being managed or the business result being produced.
That starts moving managed services closer to value-based or outcome-based pricing.
3. Buy
Not every MSP is going to build AI agents from scratch.
Nor should they necessarily have to.
Pax8 sees marketplaces becoming an important distribution mechanism for prebuilt AI agents and digital services.
An MSP could identify a customer problem, locate an appropriate agent, deploy it and then integrate it into the customer’s environment.
The MSP’s value increasingly comes from selection, integration, governance and orchestration, rather than simply reselling the underlying product.
4. Build
This is where the model becomes particularly interesting for established MSPs.
Businesses rarely operate exactly the same way.
A manufacturer, dental group, construction company and accounting firm may all use Microsoft 365, but their workflows are completely different.
Pax8 argues that MIPs can build customized agents and workflows using low-code and no-code platforms and then potentially reuse that intellectual property across similar customers.
Consider an MSP specializing in manufacturing.
It might eventually develop reusable automation around:
- production reporting,
- maintenance requests,
- purchasing,
- quality documentation,
- employee onboarding,
- inventory inquiries,
- or management reporting.
The MSP is no longer simply reselling somebody else’s software.
It is developing industry-specific intellectual property.
That could become one of the biggest differences between traditional MSPs and mature MIPs.
5. Implement
Buying or building an AI agent doesn’t mean it will actually produce value.
Agents need access to data, applications, identity systems and business processes. Employees also need to understand where AI fits into their jobs.
Pax8 therefore treats implementation as its own discipline involving integration, deployment, change management, guardrails and employee adoption.
This should feel familiar to experienced MSPs.
Installing technology has rarely been the hardest part of technology consulting.
Making technology reliably work inside a real organization is where much of the value resides.
6. Manage
Finally, someone needs to manage all of this intelligence.
AI agents aren’t simply “install and forget” applications.
Pax8 sees MIPs continuously overseeing areas such as agent performance, governance, compliance, optimization and human oversight.
This may ultimately be where the recurring-revenue opportunity becomes clearest.
Businesses may experiment with AI themselves.
But once dozens or potentially hundreds of automated workflows and agents interact with business data and applications, organizations will need visibility into what those systems are doing.
Pax8 is already expanding this idea into areas such as AI governance as a managed service, where MSPs provide ongoing policy management, usage monitoring, evidence collection, compliance management and resilience controls.
From Managing Seats to Managing Consumption
There is another economic shift happening underneath managed intelligence.
Cloud and AI services increasingly involve variable consumption.
Pax8 argues that MSPs will need to manage not only technology but also AI and cloud spending, governance and optimization. Its recent managed-intelligence guidance specifically highlights usage management, FinOps and autonomous AI as potential recurring-revenue opportunities.
That could gradually change one of the basic units of MSP economics.
The industry moved from devices to users.
The next transition could be from users to workloads, agents, workflows and outcomes.
A 100-person company might eventually have 100 employees but hundreds of AI agents and automated processes operating behind them.
Managing that environment could become an entirely new service category.
Pax8 Doesn’t Expect MSPs to Make the Transition Alone
Another noteworthy part of the Pax8 strategy is Managed Intelligence Services (MIS).
Pax8 is effectively acknowledging that many MSPs won’t immediately have teams of AI engineers, automation specialists and data scientists.
Through MIS, Pax8 Professional Services can help partners execute managed-intelligence projects while the MSP maintains the customer relationship. The company introduced MIS alongside its MIP Program specifically to provide partners another route into AI transformation.
That lowers one of the biggest barriers to MIP adoption.
An MSP doesn’t necessarily need to become an AI development company overnight.
It can begin by identifying business problems, selling solutions and coordinating delivery while gradually developing more of the required expertise internally.
We Are Already Seeing the Model Tested
The MIP concept isn’t entirely theoretical.
Pax8 highlighted the example of Sourcepass, a U.S.-based MSP that moved beyond managing Microsoft licenses and began building and delivering functional AI agents for SMB customers. Pax8 presented the case as an example of how traditional MSP relationships can become a distribution channel for practical AI adoption.
That relationship makes sense.
SMBs may want AI capabilities but frequently lack the internal expertise necessary to select, integrate, secure, govern and maintain them.
MSPs already have something AI startups often don’t:
an established position of trust inside the customer’s technology environment.
They understand the customer’s users, applications, security requirements, infrastructure and increasingly its business processes.
That makes the MSP a logical candidate to become the organization’s AI integrator.
The MIP Opportunity Isn’t Guaranteed
There is still an important distinction between Pax8’s vision for the channel and what the market ultimately becomes.
“MIP” remains an emerging category, and it is too early to know whether the term itself becomes an industry standard.
MSPs should also be cautious about simply adding “AI” to existing services and calling themselves Managed Intelligence Providers.
A meaningful transition requires different capabilities.
Providers will need stronger business-process consulting skills. They’ll need expertise in automation, data, APIs, AI governance, security and change management.
Perhaps most importantly, they will have to become better at measuring business outcomes.
If an MSP claims that an automated workflow saves a customer money, improves throughput or eliminates hundreds of hours of manual work, it will increasingly need to prove it.
That is a very different conversation from reporting 99.9% uptime or the number of help-desk tickets closed last month.
What Pax8 May Really Be Building
Viewed from a broader perspective, Pax8’s MIP strategy may represent something larger than an AI product initiative.
Pax8 helped build infrastructure for the cloud services economy.
Now it is attempting to build infrastructure for an agentic services economy.
The Agent Store supplies the agents.
The MIP Program teaches partners how to identify and commercialize opportunities.
Managed Intelligence Services can help deliver capabilities MSPs don’t yet possess internally.
And the broader Pax8 Marketplace provides the commercial ecosystem around those services.
If that strategy works, Pax8 won’t simply be helping MSPs sell AI products.
It will be helping them change what they manage.
The Bigger Shift: From IT Provider to Business-Outcome Provider
That may ultimately be the most important part of the Managed Intelligence Provider concept.
MSPs historically helped customers answer:
“How should we manage our technology?”
MSSPs expanded that question to:
“How should we manage our technology risk?”
The emerging MIP model asks something considerably broader:
“How can technology, data, automation and AI continuously improve the way this business operates?”
That moves the provider closer to the customer’s operations and strategy.
And it changes the value proposition.
The MSP of yesterday managed infrastructure.
The MSSP manages security and risk.
The Managed Intelligence Provider envisioned by Pax8 manages automation, AI agents, workflows and measurable business outcomes.
Whether the industry ultimately adopts the MIP name remains to be seen.
But the underlying transition is already worth watching.
Because the next generation of managed services may not be defined by how much technology a provider manages.
It may be defined by how much business value that technology can autonomously produce.
Sources and Further Reading
Pax8 — The Rise of the Managed Intelligence Provider
Pax8 — Managed Intelligence and MIP articles
Pax8 — Managed Intelligence Provider resources and MIP Playbook