Kevin Coleman is the co-founder of Ravenna, an AI-powered internal help desk platform designed for IT, HR, and Operations teams to streamline support. Ravenna uses autonomous AI agents to diagnose issues, take action, and coordinate across systems directly within tools like Slack. Before founding Ravenna, Kevin spent four years leading go-to-market teams at Amazon Web Services (AWS).He brings deep experience across go-to-market strategy, enterprise software, and AI-native product development, with a passion for reimagining how employees get and deliver exceptional internal support in a modern, Slack-first world.
Sessions
Breakout session
Wednesday, April 29, 2:00PM - 2:30PM
AI Transformation Starts with People, So Should the Strategy: A Ravenna and Homebase Case Study
People teams are being asked to do more than ever: support leaders through uncertainty, help organizations adapt to rapid change, and maintain a thriving culture as headcount grows. And now, AI is raising the stakes even further. The question isn't whether to adopt AI; it's how to do it in a way that elevates the employee experience and helps People Ops teams do more.
In this practical, insight-driven case study, Cassidy Edwards, Director of AI Enablement and HRBP at Homebase, and Kevin Coleman, Co-Founder of Ravenna, share how Homebase's People team became the engine driving company-wide AI acceleration.
You'll hear how Homebase uses Ravenna to put people's data, policies, and institutional knowledge directly in the hands of employees and leaders, right where they already work in Slack. From onboarding new "Homies" to navigating complex offboarding, AI Agents are reducing friction, speeding up answers, and freeing the People team to focus on what matters most: their people.
This session is designed for HR, People Ops, and business leaders who want honest, realistic strategies for leveraging AI to strengthen organizational effectiveness without losing the human touch.
Attendees will learn:
How a People team can lead (not just support) an organization's AI adoption strategy
What it looks like to deploy AI Agents that answer employee questions, surface policies, and reduce operational load in real time
Practical frameworks and lessons learned for navigating teams through change across the full employee lifecycle
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