Running a Company on a Multi Agent Dispatch System
From Conversational AI to Production-Grade Agents - Paul Domanski
As AI adoption shifts from conversational demos to production systems the bottleneck is no longer model capability, it is turning chat interactions into reliable unattended execution. In this live event Paul Domanski joins us to share how he runs an entire company as a solo operator using a custom multi agent dispatch system.
Moving past the hype of chat windows and proof of concept pilots we will break down the mechanics of turning briefs into contracts, managing execution in isolated workspaces and solving API usage caps as a scheduling problem. We will explore why 95 percent of enterprise AI rollouts show no measurable P&L impact and how to successfully install trustworthy agents into existing roles one workflow at a time.
He’ll cover:
The multi agent dispatch architecture treating briefs as contracts and using isolated workspaces
Engineering trust for unattended execution using evidence and close gates
Reframing API usage limits as a scheduling problem with the open source tool headroom
Fixing failed enterprise AI rollouts with a one workflow one expert approach
About the Speaker:
Paul Domanski, founder of Domanski.AI in Cape Town. He installs AI agents into existing roles inside businesses, and runs his own company on the same multi-agent stack he sells: work arrives as a written brief, an agent spawns in its own workspace, does the work, and files a report back for human review. His usage-tracking tool for people running Claude and Codex across multiple accounts, headroom, is open source on GitHub.
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