Published 25 September 2026 by Agentic MSP, part of ETT Group.
The short version.
A traditional managed service provider keeps your technology running and bills per user, per device or per hour. An agentic MSP takes responsibility for a piece of business work, such as checking insurance policies or matching invoices, runs it with AI agents and trained people, and bills when each piece of work is verified as done.
How it differs from a traditional MSP.
| Traditional MSP | Agentic MSP | |
|---|---|---|
| What you buy | Uptime, support and licenses | Finished business work |
| How you pay | Per user, per device or per hour | A floor fee plus verified outcomes |
| Who does the work | Engineers and technicians | AI agents, with people on exceptions and judgement |
| Proof of value | Service level reports | A record for every outcome, linked to the invoice |
| Main risk to you | Paying for capacity you don’t use | Choosing a provider that bills unverified outcomes |
Why this is happening now.
AI can now do multi-step work that used to need a person, which means a provider can sell the work itself rather than the software. Foundation Capital sizes this shift, which it calls service-as-software, at $4.6 trillion over five years, as AI takes on work paid for from salary and outsourcing budgets.
Source: Foundation Capital, A System of Agents
At the same time, most businesses have not turned AI into finished work. In Kaseya’s 2026 survey, 48% of MSPs said AI and automation was their clients’ top need, but only 13% made meaningful revenue from it.
Source: Kaseya 2026 State of the MSP Report (via VMblog)
What makes outcome pricing fair.
Outcome pricing only works if the outcome is real. Three things make it fair: a written definition of each outcome agreed before work starts, evidence for every billed item, and a baseline both sides accept for any gain-share. Pricing works best where the result is clear-cut, such as a certificate issued, rather than where many factors contribute.
Watch for “assumed” outcomes. Some AI vendors count a result when a customer simply stops responding, while others bill only verified results.
Source: Aissist AI agent pricing benchmark 2026
Questions to ask any agentic MSP.
- Which outcomes do you bill for, and where is each one defined in writing?
- Can I see the record behind any line on my invoice?
- What happens when an agent is unsure, and who handles it?
- Which decisions stay with my team, and how are my approvals recorded?
- How is the baseline for gain-share set, and is it capped?
- Where is my data hosted, and is it isolated from other clients?
- What do I pay if the agents deliver nothing in a month?
Our own answers are on how it works, the Evidence File and outcome pricing.
Related terms.
What does MSP stand for?
MSP stands for managed service provider: a company that takes ongoing responsibility for running part of another company's operations, traditionally IT infrastructure and support.
What does agentic mean?
Agentic describes AI systems that can take a goal, break it into steps, use tools and systems, and complete multi-step work, rather than only answering a question.
Is an agentic MSP the same as an AI MSSP or managed AIOps?
No. An AI MSSP is a managed security service provider that uses AI for security operations. Managed AIOps applies AI to running IT infrastructure. An agentic MSP runs business processes, such as insurance servicing or order-to-cash, with AI agents.
What is service-as-software?
Service-as-software describes AI that delivers a finished service, such as a checked policy or a posted invoice, rather than software a person has to operate. The customer buys the outcome instead of the tool.