Discovery is just the starting point — the true value and revenue lie in execution. This moderated panel discussion, led by Len DiCostanzo, founder of MSP Toolkit and a former MSP, will focus on how organizations are transforming AI and automation discovery into funded roadmaps, recurring revenue, and scalable delivery models. Featuring insights from service leaders at various stages of AI and automation maturity, alongside a global AI marketplace executive, this session provides a practical look at what happens after the workshop ends.

Key Takeaways:

1. Understand how to turn AI and automation discovery into budgeted roadmaps and actionable implementation plans that drive measurable outcomes.

2. Explore strategies for generating new top-line revenue from AI-powered Digital Assistants (DaaS) and other automation solutions, while balancing execution tradeoffs such as building in-house, partnering, or adopting a hybrid approach.

3. Learn how to establish scalable delivery models, including ongoing support, escalation processes, and ensuring client accountability post-implementation.

In addition to these takeaways, the session will delve into how service providers can position AI and automation workshops as repeatable, billable client services, and how to sustain long-term revenue through governance, optimization, and bundled services. Attendees will gain a clearer understanding of how to transform AI and automation from an innovation initiative into a scalable revenue engine.

This session is designed to stand on its own but also reinforces the discovery framework introduced earlier in the day during the AI & Automation Workshop: A Replicable Discovery Blueprint for Client Success.