AI Employee is a B2B automation platform that performs repetitive but complex tasks with agents, memory, integrations, and auditability. We researched, designed, and built the product end to end.
The client wanted a virtual employee that could prospect leads, operate across tools, remember organizational context, and keep a traceable history of what it did.
That meant building an agent platform with workflow controls, memory, enterprise permissions, connectors, and real-time status, so teams could trust automation with operational work.
We split the platform into Dockerized services for orchestration, memory, integrations, and auth, then exposed a reactive workflow UI with live execution status.
| Before | After Ego Eimi | |
|---|---|---|
| Administrative work | Repetitive back-office hours | −70% admin hours across pilot customers |
| Customer-service throughput | Capped by manual handling | 3× throughput, as reported by the client |
| Workflow setup | About three days to stand up | About 30 minutes to deploy |
| Integrations | Tools that did not talk to each other | 25+ OAuth connectors with memory and audit trails |
The original case study framed the product around the future of getting repetitive work done: a virtual employee for prospecting, service, internal workflows, and other complex administrative loops.
3 days → 30 min workflow setupDemo from the original AI Employee case study
Felipe's strategy, innovation, and flawless execution propelled our growth in record time. His ability to turn bold ideas into reliable product is exceptional.
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