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AI Office Hours: Implementing AI in the Real World

AI adoption is accelerating, but most organizations still struggle to turn their early efforts into meaningful operational impact. This session breaks down what’s actually working, why implementations fail, and the practical steps you can take to deploy AI safely and efficiently.

Walk away with a clear roadmap and practical examples you can put to work immediately.

December 11th @ 1 PM PST

Join Us!

Join Us!

Overview

December 11th 1 - 2 PM PST

AI is entering a critical moment where organizations are demanding proof of real operational value. This session gives you a clear look into today’s AI hype cycle, common implementation failures, and real automation examples. You’ll get a grounded look at what it actually takes to make AI work in a business environment. 

We’ll show how organizations move from early adoption to meaningful automation by focusing on documented workflows, measurable outcomes, and the right sequence of steps. Rather than jumping straight into advanced use cases, you’ll see how a disciplined Crawl → Walk → Run approach creates faster wins, safer deployments, and long-term scalability. The goal is simple: help you understand what “good AI implementation” looks like so you can accelerate it inside your own organization.


Agenda:

  • The Tractor Story: An analogy that reframes today’s AI moment and why major technology shifts always begin with uncertainty.
  • The AI Reality Check: A grounded look at where AI sits on the hype cycle and why skepticism is growing.
  • Why Implementations Fail: The operational gaps such as undocumented workflows, unclear processes, and weak implementation discipline that stall AI progress.
  • Real Automation in Action: A case study showing how AI removed significant manual work and delivered measurable ROI.
  • Getting Started the Right Way: Practical guidance on how organizations can take their first steps with confidence.
  • The Crawl → Walk → Run Framework: A structured model for safe deployment, workflow integration, and scaling into intelligent automation.
  • Q&A + Panel Discussion: A live conversation with Endsight’s leadership and engineering team.

Speakers

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Michelle Brezenski

Manager, Development @ Endsight

With over 20 years of IT experience and 17 years at Endsight, Michelle is a seasoned professional who has worked in different capacities within the company. Since 2014, she has led Endsight's development department's efforts and is passionate about data-driven decision making and leveraging technology to solve business problems. Michelle holds multiple certificates from Microsoft, most of which focus on database management and analytics.
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Eugene Motisko

Power Platform Developer @ Endsight

With nearly 30 years of IT experience, Eugene leads Endsight’s Power Platform practice, specializing in Power Apps, multi-tier approval automation workflows, AI-driven solutions and infrastructure automation. He conducts consultations with Endsight’s MSP clients to pinpoint business pain points, design tailored solutions, capture detailed requirements, and deliver precise cost estimations. Eugene holds multiple Microsoft certifications, including the Power Platform Solution Architect Expert (PL-600).
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Mike Chaput

Founder & CEO @ Endsight

With over 20 years in the IT Managed Services sector, Mike Chaput co-founded Endsight in 2004. Mike’s industry involvement includes memberships in TruMethods, Venture Tech, and True Profit Group. Mike is also on the CEO advisory council of Kaseya and sits on a private equity board invested in the MSP sector. Mike’s academic credentials include a B.S. in Computer Engineering from Michigan State and an MBA from UC Berkeley's Haas School. 
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Brain Tirado

Director of AI & Automation @ Endsight

With over 20 years of IT experience, Brian is a seasoned professional who began his career at Occidental Technical Group in 2002 and joined Endsight in 2017 through its acquisition. Since then, he has held various leadership roles, starting as RC Manager, advancing to Director of Pod Operations, and now serving as Director of AI and Automation. Brian has a Bachelor’s in Computer Science from Pacific Union College.