Meet Karolina: How We Built an AI Project Manager That Works Like a Human Team Member

Project management is high-volume, detail-oriented, and time-sensitive. It's exactly the kind of work great PMs do well — and exactly the kind of work that doesn't scale.

So we built the project manager we wanted. Karolina is an autonomous AI PM that monitors Kowalah's entire client portfolio, sends daily and weekly status reports, answers questions over Slack and email, and updates project data in real time. She runs on the Claude Agent SDK inside Vercel Sandboxes — and she has her own Google Workspace account, her own Slack presence, and her own email address.

This webinar shows you how we built her and what it took to make her reliable.

What you'll see:

• A live demo of Karolina answering a Slack question — pulling project data, reasoning about risks, and responding in seconds
• The four-layer architecture that separates reasoning (agent) from reliability (orchestrator)
• How we hydrate data into the sandbox before the agent runs — faster and cheaper than live API queries
• How sandbox snapshots give Karolina persistent memory across multi-turn Slack conversations
• The "onboard like a human" pattern: give the agent its own accounts, share access the normal way

Who should attend:

Business leaders and operations teams at companies with 50–5,000 employees who are ready to move beyond AI assistants and want to understand what a production AI agent actually looks like. No coding required to follow along — this is architecture and strategy, with a live demo.

What you'll leave with:

• A four-layer framework you can map to any operational role in your business
• A clear picture of where AI agents create real leverage vs. where they add complexity
• The questions to ask before you build your first agent
• A blueprint for onboarding an AI agent like a new hire