Comparison · MIP vs MSP
The MIP and the traditional MSP: what actually changed
For twenty years, the Managed Services Provider kept business IT running. The work has shifted: from running infrastructure to deploying and operating intelligence. This is what separates a Managed Intelligence Provider from the MSP model it replaces, dimension by dimension.
The category did not get an upgrade. It got replaced.
The MSP category was built for a specific job: keep the servers patched, the endpoints managed, the network up, and the helpdesk answering. That job was real, and for two decades the firms that did it well earned recurring revenue doing it. But the center of gravity in business technology has moved. The hard, valuable, board-level work is no longer keeping infrastructure running. It is deploying AI that works, governing it so a board can stand behind it, and operating it as it drifts, scales, and changes.
A Managed Intelligence Provider is the structural answer to that shift. The term was named in late 2025 by the MSP-industry analysts at Pax8 and Inforcer, and the market validated the pattern in May 2026 when Anthropic and OpenAI stood up multi-billion-dollar AI-services firms in three weeks. Those firms target enterprise. Centered Networks is the first MIP purpose-built for the mission-driven sector: nonprofits, foundations, and rural hospitals.
The distinction is not marketing. It is structural, and a buyer can read it off a website, a statement of work, and a price sheet. Here is the comparison, line by line.
MIP vs MSP, dimension by dimension
Where the two models genuinely diverge, and why it matters for a mission-driven organization.
| Managed Intelligence Provider | Traditional MSP | |
|---|---|---|
| Core job | Deploy and operate intelligence | Keep infrastructure running |
| Heritage | Built for the AI era | Break-fix, then managed services |
| Primary deliverable | Working AI in production, governed | Uptime and resolved tickets |
| What gets managed | Agents, governance, the platform, and the endpoints underneath | Servers, endpoints, network, helpdesk |
| AI posture | Native: agents and Copilot are the core offering | Add-on: "we can look into Copilot for you" |
| Governance scope | AI governance and security: Microsoft Purview, Entra Agent ID, audit, attestation | Security and patching |
| Engagement model | Productized: Assess, Deploy, Operate as a defined sequence with fixed fees | Hourly, project, or open-ended retainer |
| Pricing model | Recurring platform plus per-agent-per-month operations | Per seat or per device, monthly |
| Value metric | Business outcomes, agent performance, board-level KPIs | SLAs and response time |
| Contract posture | Month-to-month, Portability Promise: every agent, policy, and runbook stays in your tenant | Multi-year terms; lock-in is common |
| Sector depth | Vertical knowledge as a moat; built for mission-driven organizations | Generic SMB or enterprise |
| Microsoft alignment | Five Solutions Partner designations including Data and AI (Azure) | Varies; often one or none |
What the table is really saying
From running infrastructure to operating intelligence
The MSP model answers the question "is it up?" The MIP model answers "is it working, is it governed, and is it producing the outcome we deployed it for?" Those are different jobs with different skills, different tooling, and different people. Patching a server and operating a production agent that drafts grant reports both require discipline, but the second one requires AI governance, prompt and policy management, drift detection, token-cost monitoring, and a way to attest to a board that the thing is behaving. An MSP that has not rebuilt around that work is doing the old job with a new logo.
Governance is the new uptime
For an MSP, the recurring promise is availability. For an MIP, the recurring promise is governed availability of intelligence. When you turn on Microsoft 365 Copilot without governance, you do not get a productivity tool, you get an engine that surfaces every document a user technically has access to, including the ones nobody meant to leave open. The MIP work is the data-protection layer underneath: sensitivity labels, DLP, conditional access, Entra Agent ID for the agents themselves, and an audit trail. That is not a security add-on. For governed AI, it is the product.
Productized and portable, not retainer and lock-in
The MSP retainer is open-ended by design: more hours, more tickets, more billing. The MIP engagement is productized by design: a two-week Discovery Sprint with a fixed fee and a written roadmap, a 90-day program with a named destination, per-agent operations you can read on a price sheet. And because the work produces governed assets, an MIP can make a structural promise an MSP usually will not: everything it builds (every agent, every policy, every runbook) stays in your tenant, exportable on request, with a documented offboarding path. Centered Networks calls that the Portability Promise. It is the opposite of lock-in.
Why mission-driven organizations need an MIP specifically
The AI labs' services firms are real, but their engagement economics (six and seven figures) do not bend to nonprofit, foundation, or rural-hospital scale. A 200-person foundation does not need a bespoke enterprise AI lab; it needs governed Copilot, a handful of production agents its program officers actually use, and a partner who already understands donor-data sensitivity, board-level AI charters, and the Microsoft nonprofit grant economics. The MIP model, priced and packaged for the sector, is the only thing that fits. That gap is the reason Centered Networks exists.
Five questions that tell you which one you are talking to
Ask any prospective partner these five. The answers sort an MIP from an MSP with AI in the brochure.
- Is AI a line item or the core offering? An MIP organizes its entire delivery model around deploying and operating intelligence. An MSP lists it as one service among twenty.
- Can they show you a productized Assess, Deploy, Operate sequence with fixed scope and price? An MIP has named engagements with fixed fees and durations. An MSP quotes hours.
- Are they deep on one platform, or shallow on five? An MIP holds verifiable depth on its primary platform. Five Microsoft Solutions Partner designations is a different claim than "we work with Microsoft."
- Do they know your sector's specific constraints, or are you a generic account? An MIP accumulates vertical knowledge as a moat: donor-data governance, HIPAA-aligned AI, board AI charters. An MSP treats you as SMB number 400.
- Do their guarantees name a remedy, or just promise best effort? An MIP publishes structural guarantees with named remedies. An MSP's SLA usually promises a response time and little else.
Common questions
Is an MIP just an MSP with AI bolted on?
No. An MSP that adds a Copilot line item is still organized around keeping infrastructure running, with AI as an upsell. A Managed Intelligence Provider is organized around deploying and operating intelligence as the primary deliverable, with the platform and endpoints managed underneath it. The difference shows up in the engagement model, the pricing, the governance stack, and the guarantees, not in whether the word AI appears on the website.
Do I have to leave my current MSP to work with an MIP?
Not necessarily. Some organizations keep a break-fix or endpoint MSP for traditional support and bring in an MIP for the AI program and governance. But the cleanest outcome is usually one partner across the whole Microsoft stack, because AI governance, identity, data protection, and agent operations are not separable from the platform they run on. Centered Networks runs the full stack as a managed service so the seams do not become your problem.
Is Centered Networks an MSP or an MIP?
Centered Networks is a Managed Intelligence Provider, and the first one purpose-built for mission-driven organizations: nonprofits, foundations, and rural hospitals. It holds five Microsoft Solutions Partner designations including Data and AI (Azure), deploys Microsoft 365 Copilot and Copilot Studio agents, governs the platform with Microsoft Purview and Entra, and runs the whole stack as a managed service under the CompleteCare architecture and the Centered AI Practice engagement ladder.
What does an MIP cost compared to an MSP?
A traditional MSP usually prices per seat or per device on a monthly retainer. An MIP prices the recurring platform the same way, then adds productized AI engagements with fixed fees and fixed durations, for example a two-week Discovery Sprint or a 90-day Frontier Transformation, and per-agent-per-month operations for the agents it runs in production. The recurring cost is comparable to a managed-services retainer; the engagement fees buy working AI in production rather than hours.
Find out which one you actually need
Two ways in. Start a Discovery Sprint for a two-week paid diagnostic that names your right starting tier and delivers a 90-day roadmap. Or request a Frontier Briefing for a 90-minute, no-charge board-level conversation. Either way, you will leave knowing whether your current partner is keeping you running or moving you forward.