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Genie — Self-Evolving CRM

AI-driven CRM built autonomously by agents

Genie — Self-Evolving CRM architecture schematic

One example subsystem from this build. In most engagements we deliver the entire stack top to bottom — application code, Docker, infrastructure, deployment, and scaling — all in-house. Where a client already has platform teams in place, we work alongside them.

Project Summary

A CRM that evolves itself: users request features via natural language and AI agents autonomously implement, test, and deploy them with human oversight. Features a Wish Fulfillment Pipeline (request → kanban → agent → code → review → deploy), data centralization ETL, and an AI assistant embedded in every page.

Our role: Architecture & Development

What We Did

  • AI agents autonomously implement user-requested features
  • Wish Fulfillment Pipeline from natural language to deployed code
  • AI assistant contextually embedded in every page
  • Data centralization ETL from scattered sources

Want this in your own workflow?

Tell us which process you'd start with. We map it, install the loop, and prove it before it widens.

Plan Your Rollout