Case study — AI & automation
A multi-agent operating system
The problem
One chatbot cannot run a business's routine work. Departments need agents that coordinate — and remember.
What we built
- 40+ agents in department crews, each with scoped tools and permissions
- Persistent memory — follow-ups start from context
- A scheduler keeps crews running in parallel, continuously
The result
Routine department work now runs itself, around the clock.
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