Stop Leaving Money on the Table: Pricing, Packaging & Profitability for MSPs

Presenters:
Vlad Marchenko
Michael Assraf
Thursday 14 May
20:00
8:00 PM · 59m
America/New_York

MSPs love saying they want to grow. But most price like they're scared of their own invoice.You discount too early. You package too vaguely. You sell support instead of outcomes. Then every new client feels like a margin hostage situation, and you wonder why.Kyle Christensen, Co-Founder of Empath, is dropping into the OpenMSP community to break it down.What we're covering: Why most MSP pricing problems are actually positioning problems How weak packaging creates scope creep before the deal is even signed Why your stack matters way less than you think How to stop selling a pile of services and start selling clear business outcomes (the kind that are easy to sell, and easy to sell a lot of) This isn't theory. It's the stuff that shows up on your P&L, your service desk, your sales calls, and your sanity.If you're tired of being busy, growing, and somehow still wondering where the money went, come hang out. Worst case, you walk away with one pricing tweak that pays for the next year of your stack.

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Stop Leaving Money on the Table: Pricing, Packaging & Profitability for MSPs
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Frequently Asked Questions

AI for MSPs

AI decouples revenue from headcount. When automation handles routine work, labor costs grow slower than revenue, so margins expand as you scale. The 2026 Kaseya report found 53% of MSPs already automate ticketing, patching, and monitoring to protect margin.

AI Safety

It can be, with governance. Keep a human in the loop on high-risk actions, log every automated step for audit, and choose platforms that keep your data yours with no vendor lock-in. Pilot on internal data first so you catch issues before client systems are involved.

AI MSP

Set a baseline before rollout, then track tickets closed per technician, mean time to resolution, percentage of tickets resolved with no human touch, technician hours reclaimed, and cost per ticket. AI-driven automation commonly cuts operational cost per ticket by 25 to 40%.
MSPs use AI to triage and route tickets, cut alert noise, schedule patches, assist L1 security work, and draft client reports. Kaseya's 2025 benchmark found 30% already use it to eliminate tedious tasks, with ticket triage the most common starting point.
Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
Automate high-volume, low-risk tasks first. Ticket triage and alert noise reduction top the list because they run constantly and a human still resolves the underlying issue. Save security approvals, billing changes, and client-facing actions for later, always with a human in the loop.

MSP AI Agents

Yes, for low-risk categories. MSPs report 10% to 25% of tickets closed without a tech opening them, covering password resets, MFA enrollment, and known installs. Anything needing judgment or touching production data still escalates to a human.
Deployment data on five-person service desks shows $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Savings come from reclaimed capacity, not headcount cuts.

Getting Started

OpenMSP is The MSP Knowledge Hub & Community Platform designed specifically for Managed Service Providers seeking to optimize their technology stack, reduce vendor costs, and discover open-source alternatives. We combine a comprehensive vendor directory, open-source solution catalog, and integrated community discussions to help MSPs make informed decisions.