AI agents are coming to your clients' businesses. The only question is whether your MSP will manage them or watch someone else own the relationship.
In this session, MSP leader turned AI advisor to the channel Tony Ferrigno introduces Managed Intelligence: a structured, recurring service model where MSPs actively operate, monitor, govern, and optimize AI agents on behalf of clients. This is the next evolution of managed services and one of the most important opportunities since cloud. Attendee will learn the five core pillars of a Managed Intelligence practice: Discover, Deploy, Monitor, Govern, and Optimize. We'll walk through how to identify the right client processes for AI agent automation, create paid discovery engagements, deploy agents without operational chaos, and build governance controls that differentiate your MSP in regulated industries.
We'll also cover pricing models (onboarding fees, monthly management fees, expansion cycles), how to sell AI agent operations as business outcomes, and how to scale delivery without overwhelming your team. This session is for MSP leaders ready to move beyond AI hype and build a real, repeatable practice.
Key Takeaways:
• What AI agents are and why they matter to MSPs
• The five-pillar framework for building a Managed Intelligence practice
• How to price, sell, and deliver AI agent management profitably
• Why governance is your biggest competitive differentiator
Process Intelligence & AI Readiness: The MSP Assessment Engine
Date: Tuesday, November 10th, 2026
Time: 11 AM EDT
Duration: 45 Minutes
AI success doesn't start with a tool. It starts with understanding how the business actually works.
In this session, MSP leader turned AI advisor to the channel Tony Ferrigno reveals the assessment methodology that turns MSPs into trusted AI advisors. Before you recommend Copilot, AI agents, or automation platforms, you need to understand your client's current state: their data quality, process maturity, governance gaps, and workforce readiness. This session shows you how to do that and get paid for it.
You'll learn how to position AI readiness assessments as high-value advisory services, evaluate clients across five readiness domains, conduct stakeholder interviews that uncover real operational issues, and build process inventories and workflow maps that reduce tribal knowledge. We'll cover how to create Automation Readiness Roadmaps that convert assessment work into implementation pipeline and how to price and package these services for profitable project revenue.
The assessment isn't just a pre-sales activity. It's a revenue-producing service, a trust-building mechanism, and the front door to every serious AI engagement. This session gives you the framework, templates, and methodology to become the advisor who helps clients make smarter AI decisions before they spend money in the wrong place.
Key Takeaways:
• How to build a repeatable Process Intelligence & AI Readiness Assessment practice
• The five AI readiness domains every MSP should evaluate
• Practical frameworks for process mapping, scoring, and client-facing reports
• How to use assessments to open the door to Copilot, automation, and Managed Intelligence services
Presented by: