Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
An e-commerce marketplace with all operations running inside Notion and a four-person AI team tasked with driving automation across every department.
A four-person AI team couldn't serve as the automation engine for an entire company, and previous no-code tools had proven fragile: when employees...
“Our role isn't just to build automation solutions for the company—it's to act as a catalyst and spread best practices to every team.”
Online marketplace for new and used products in France.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Rakuten France's Workflow automation is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
An e-commerce marketplace with all operations running inside Notion and a four-person AI team tasked with driving automation across every department.
A four-person AI team couldn't serve as the automation engine for an entire company, and previous no-code tools had proven fragile: when employees...
“Our role isn't just to build automation solutions for the company—it's to act as a catalyst and spread best practices to every team.”
Online marketplace for new and used products in France.
A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.
Rakuten France's Workflow automation is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Tripled coding output bottlenecked at manual admin. Now, AI agents monitor Slack to auto-update docs and run first-pass tech reviews.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.