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AI automation is quickly moving from novelty to necessity, but most MSPs are still trying to figure out how to turn AI into practical, repeatable workflows that save time, reduce manual effort, and create real business value.

In this hands-on lab, attendees will learn how to set up n8n, an open-source workflow automation platform, and use it to build AI-powered workflows that can support security, service delivery, operations, and client communication. We’ll walk through the core components of n8n, how to connect common tools and data sources, and how to safely incorporate AI into automated processes without creating chaos.

Participants will build and test real workflows, explore how to trigger automations from events or inputs, connect AI models into decision points, and structure outputs that can be used by technicians, account managers, or leadership teams.

Attendees will walk away with a working understanding of how to use n8n to design AI workflows, automate repetitive tasks, and create practical use cases for their MSP, including ticket enrichment, client reporting, security alert triage, research summaries, and internal process automation.

This lab is ideal for MSP owners, operators, service managers, vCIOs, vCISOs, and technical leaders who want to move beyond AI theory and start building workflows they can actually use.

The traditional model is familiar to every MSP in this room: schedule a pentest once a year, hand the client a PDF, check the compliance box, and move on until next year's renewal. It satisfies an auditor. It does almost nothing to protect the client, because their attack surface looked completely different the month after the test than it did the day of it. This session makes the case for continuous penetration testing as the natural evolution of both vulnerability management and traditional pentesting, and gives MSPs a realistic model for delivering it without enterprise-level budgets. Attendees will learn the practical difference between continuous pentesting and routine vulnerability scanning, how to identify which clients genuinely need continuous coverage versus an annual test, how to blend automated continuous testing with periodic human-led validation to keep findings credible, and how to reposition this offering with clients and prospects as risk reduction rather than a compliance line item. The session closes with a comparison framework for evaluating continuous testing platforms against what your team can realistically support today.