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September 21, 2026 · Updated September 21, 2026 · By Amaresh Ray

What is a Managed Intelligence Provider (MIP)?

Illustration showing the transition from MSP ticket-based work to MIP outcome delivery

TL;DR

"Managed Intelligence Provider" is a term Pax8 coined - it's not a software category and it's not a tool. It names what an MSP becomes when it moves from resolving tickets and managing infrastructure to deploying AI agents and delivering measurable business outcomes for clients. Pax8 released a playbook for it in October 2025, then launched three real products around it at Beyond 2026 in June 2026: an Agent Store, a structured MIP Program, and outcome-priced professional services. The honest read: the term is useful, the commercial interest is real, and the prerequisite most MSPs are missing isn't a Pax8 subscription - it's internal capacity. You can't sell AI outcomes to clients while your own shop is buried in password resets. If you're working on the agentic MSP transition, that's where to start.

At Pax8 Beyond EMEA in October 2025, Scott Chasin stepped onstage and announced a new category: Managed Intelligence.

Scott Chasin on stage at Pax8 Beyond with "A NEW CATEGORY: MANAGED INTELLIGENCE" on screen behind him, as taken from ChannelPro Network

The word "category" matters here. Chasin wasn't announcing a product. He was naming a trajectory - the path an MSP walks when it stops just managing software and starts managing intelligence. The term he coined for the destination: Managed Intelligence Provider.

Since then, the MIP concept has been picking up velocity in the channel. If you've seen it in a Pax8 email, a conference talk, or a partner marketing deck and wondered what it actually means - here's the full picture, including the parts Pax8 has an obvious commercial interest in not emphasizing.

What a Managed Intelligence Provider actually is

Before anything else: a Managed Intelligence Provider is not software. It's not a product Pax8 sells. It's not a certification. It's what an MSP becomes.

Chasin's definition, from his October 2025 blog post:

"A business partner who goes beyond infrastructure support and ticket resolution. MIPs deploy and manage intelligent systems with AI agents that reason, adapt and act in real time."

And the operating principle underneath it:

"Instead of software, MIPs deploy intelligence and manage outcomes."

The distinction is meaningful. Traditional MSPs sell software seats, manage uptime, and resolve tickets. MIPs sell results - workflows completed, hours reclaimed, business processes automated. The billing model shifts accordingly: from per-seat to per-agent, per-workflow, or per-outcome.

Think of it less as a product category and more as a maturity level. Where your MSP sits on the spectrum from "we sell Microsoft licenses and fix printers" to "we run autonomous AI agents across our clients' operations and bill on outcomes" - that's the MIP transition.

Where the term came from

The timeline is worth knowing because it shows how Pax8 has been building toward this for almost a year:

June 2025: Pax8 published "The Agentic Inflection Point" research paper at their Denver conference, arguing that AI agents were moving from chatbots to autonomous digital labor. The report framed a coming shift in how MSPs would need to position themselves.

The Agentic Workforce Economy - "How Digital Labor Is Reshaping SMB Growth and Redefining the Role of IT Providers" conference slide, as taken from Pax8

October 6, 2025: At Pax8 Beyond EMEA, Chasin released The Managed Intelligence Provider Playbook - a five-play framework (Discover, Buy, Build, Sell, Manage) for how MSPs could evolve into MIPs. The playbook projected $644 billion in global AI services spending for 2025 and cited potential operational cost reductions of up to 40% through agentic workflows.

The Managed Intelligence Provider Playbook cover, as taken from Pax8

October 27, 2025: Chasin published a detailed blog post defining the MIP concept and laying out the four levels of agentic progression - from chatbots through assistants to agentic labor and agentic workforce.

June 8, 2026: At Pax8 Beyond 2026, Pax8 launched three concrete products around the MIP concept. This is where the concept became something you can actually buy into.

MSP vs MIP: what changes

The shift is conceptual before it's operational. Here's how Pax8 frames it:

MSP vs MIP comparison: MSP manages infrastructure and resolves tickets; MIP deploys intelligence and delivers outcomes

MSP MIP
What you manage Infrastructure, uptime, software AI agents, workflows, outcomes
What you sell Seats, licenses, break-fix Agent performance, workflow completion, measurable ROI
How you bill Per-seat, per-device, per-hour Per-agent, per-action, per-outcome
Relationship with AI Resell it Deploy and manage it for clients
Client conversations "Your server is back up" "Your onboarding backlog is down 60%"

The MSP column describes where 90% of the channel sits today. The MIP column describes where AI-native MSPs are heading. The gap between them isn't primarily a technology gap - it's a capability and positioning gap.

What Pax8 actually launched at Beyond 2026

This is where abstract becomes concrete. In June 2026, Pax8 announced three components of what they're calling Managed Intelligence Solutions:

Pax8's three-pillar Managed Intelligence Solutions: Agent Store, MIP Program, Managed Intelligence Services

1. Agent Store

A curated section of the Pax8 Marketplace with SMB-ready AI tools. At launch: Microsoft 365 Copilot Business, ConnectWise Sidekick, and Rewst RoboRewsty. Everything provisioned through the existing Pax8 billing and marketplace infrastructure - simplified procurement with transparent pricing.

The Pax8 Agent Store shown at Beyond 2026, as taken from ChannelPro Network

The Pax8 roadmap also includes an Agent Gateway - a multi-tenant governance layer that would let MSPs manage every AI agent running across their clients from one place, with per-client budget controls and model selection. Currently in preview, broader availability expected later in 2026.

2. MIP Program

A structured enablement path: AI maturity assessment, role-based training, and a repeatable framework for building a managed intelligence practice. The goal is a path from "we're exploring AI" to "we have a productized MIP offering generating recurring revenue."

3. Managed Intelligence Services (MIS)

This is Pax8 Professional Services selling outcome-priced AI work directly to MSPs - either alongside the partner (co-delivery) or white-labeled as an extension of the MSP's team. Four services at launch:

  • Copilot Readiness Assessment - evaluates a client's Microsoft 365 tenant for Copilot adoption readiness
  • Transformation Discovery Assessment Agent - AI-augmented discovery to help MSPs run consistent client transformation conversations
  • Workflow Automation and Agent Builds - bespoke AI agent design and deployment for specific client workflows
  • Microsoft 365 Data Protection - identify and protect sensitive data using Microsoft Purview

Chris Pottrell, Managing Director at Nebula IT, described the discovery service: "The level of insight it delivers is what we'd normally only achieve after several hours of in-person workshops. By automating that discovery and capturing more honest, individual input, it gives us a clearer, more objective starting point."

COO Craig Donovan's framing is blunt: "The partner who makes AI work for their clients wins. Right now, most of the market is stuck talking about AI or just reselling it."

The honest take

Here's where we try to be useful rather than just credulous.

Pax8 is a distributor. They have 47,000+ MSP partners and a marketplace. Their commercial interest is in MSPs buying AI tools through Pax8. The MIP concept is genuinely useful as a mental model for where the industry is heading - but it's also a framework designed to make Pax8's marketplace the natural next step. That doesn't make it wrong. It makes it worth reading with eyes open.

The stat that deserves the most attention in their own materials:

78% of SMBs call AI a game-changer, but 95% of organizations report zero ROI from AI - source: Pax8 MIP Program research

Pax8's own research cites that 95% of organizations report zero ROI from AI. That's the number they're using to justify the MIP Program - but it's also a quiet acknowledgment that most of the AI already in the channel isn't delivering. Adding more tools from a marketplace doesn't automatically close that gap.

The ChannelPro Network coverage of Beyond 2026 noted that AI services in managed services are growing at 59% a year versus 13% for traditional managed services - a real tailwind. It also noted that 84% of SMBs would trust an outside advisor for AI implementation, and that nearly half of SMBs have no AI security policy. The opportunity is real. The governance gap is real too, and most SMBs don't have the internal maturity to absorb complex agentic deployments without hand-holding that takes serious time.

The MIP model asks MSPs to become AI consultants and integrators for their clients. That's a legitimate business. It also requires internal capacity that most MSPs don't currently have - because their technicians are still spending the majority of their hours on L1 and L2 requests.

Before you can lead clients in AI, fix your own shop

We'd be doing you a disservice if we pitched the MIP opportunity without naming the most common blocker: internal bandwidth.

The AI agent stack for MSPs works in layers. The client-facing layer - deploying AI agents for your clients' operations - sits on top of an operational layer: your own shop running efficiently. And right now, for most MSPs, that operational layer has a problem. Technicians are fielding password resets, account unlocks, onboarding tickets, and offboarding requests. These are the tasks that consume 40-60% of L1/L2 time and produce exactly zero strategic differentiation.

You can't sell AI outcomes to your clients while your own team is buried in grunt work. The credibility gap alone is real: an MSP that can't automate its own internal IT requests is a hard sell as an AI transformation partner.

This is where Rallied fits - not as a path to becoming a Managed Intelligence Provider, but as the prerequisite. Rallied is an AI technician that resolves L1 and L2 requests inside your PSA - password resets, account unlocks, onboarding, offboarding, access management - autonomously, without a human touching the ticket.

Rallied autonomously executes an offboarding workflow including revoking sessions, removing M365 licenses, and updating the Pax8 subscription seat count, as taken from Rallied

That screenshot is from an actual offboarding workflow. Notice step 6: pax8-update-subscription - Rallied reduces the Pax8 seat count automatically when an employee offboards, because it's integrated with Pax8 for licence management. That's the kind of end-to-end execution that frees your team to work on the client-facing, strategic work a Managed Intelligence practice actually requires.

The model: $150 a month, billed monthly, with 2,000 credits included, about 700 tickets in a typical month. SOC 2 Type II certified. Same-week deployment. Connects to ConnectWise, Autotask, Halo PSA, SuperOps, Jira Service Management, NinjaOne, Datto, N-central, M365, Entra ID, Okta, JumpCloud, Google Workspace, IT Glue, and Hudu.

The invisible MSP runs quietly. Every routine ticket that Rallied closes without a human touch is an hour your team gets back - an hour you can spend building the kind of client-facing AI practice that the MIP model is pointing toward.

Try Rallied

Rallied is the AI technician that clears the L1/L2 backlog inside your PSA so your team has the capacity to actually build a managed intelligence practice. At $150 a month for 2,000 credits, about 700 tickets in a typical month, it's a low-friction way to start getting time back.

Book a demo at rallied.ai and be up and running in under a week.

Frequently Asked Questions

What is a Managed Intelligence Provider (MIP)?

A Managed Intelligence Provider is a term coined by Pax8 to describe what an MSP evolves into when it moves beyond infrastructure support and ticket resolution. According to Pax8 CEO Scott Chasin, MIPs deploy and manage intelligent systems with AI agents that reason, adapt, and act in real time - delivering business outcomes rather than just managing software.

Who coined the term "Managed Intelligence Provider"?

Pax8 coined the term. CEO Scott Chasin introduced the concept in The Managed Intelligence Provider Playbook, released at Pax8 Beyond EMEA in October 2025. Pax8 is a cloud marketplace and distributor that serves over 47,000 MSP partners and 800,000 SMBs.

How is a Managed Intelligence Provider different from a traditional MSP?

A traditional MSP manages infrastructure, resolves tickets, and sells software seats. A Managed Intelligence Provider deploys and manages AI agents that automate workflows and deliver measurable business outcomes. The billing model shifts too - from per-seat to per-outcome or per-agent. The short version: MSPs fix problems; MIPs engineer possibilities. See our breakdown of what an agentic MSP looks like in practice.

What did Pax8 launch for MSPs wanting to become MIPs?

At Pax8 Beyond 2026 in June 2026, Pax8 launched three things: the Agent Store (a curated marketplace of SMB-ready AI tools including Microsoft 365 Copilot Business, ConnectWise Sidekick, and Rewst RoboRewsty), the MIP Program (an AI maturity assessment plus repeatable framework for building a managed intelligence practice), and Managed Intelligence Services (outcome-priced services delivered by Pax8 Professional Services in co-delivery or white-label mode). Details in Pax8's launch announcement.

How can an MSP start building toward the MIP model?

The honest prerequisite: you can't sell AI outcomes to clients while your own technicians are buried in L1/L2 grunt work. The first move is freeing up internal capacity - which is exactly what Rallied does. Rallied is an AI technician that autonomously resolves password resets, account unlocks, onboarding, and offboarding tickets inside your PSA for $150 a month (2,000 credits, about 700 tickets in a typical month). Once your team isn't spending 40-60% of their hours on routine requests, you have the bandwidth to actually build a managed intelligence practice.

Amaresh Ray
Written by Amaresh Ray
Founder of Rallied. Building AI that resolves MSP tickets autonomously. Previously led engineering teams building enterprise automation platforms.

See Rallied in Action

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