Every Madi update was gated by external engineers. Now the Color Crew—no engineering background—builds and ships new workflows themselves.
A subscription-first hair color brand operating 99 Hair Color Bars, built around a dedicated advisory team that delivers personalized color consultation and appointment support.
After launching an AI chatbot that proved customers would engage, the team found they couldn't modify agent logic or add new workflows without...
“What’s been exciting is seeing the Color Crew take ownership of Madi. They’ve taken their deep understanding of the customer and turned it into the ability to build and shape the experience themselves. That’s been a really meaningful transformation for the team.”
Salon-quality hair color products and professional coloring services for consumers.
Generative AI platform for automated enterprise customer support and workflows.
Madison Reed's Customer concierge is part of this use case:
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
Every Madi update was gated by external engineers. Now the Color Crew—no engineering background—builds and ships new workflows themselves.
A subscription-first hair color brand operating 99 Hair Color Bars, built around a dedicated advisory team that delivers personalized color consultation and appointment support.
After launching an AI chatbot that proved customers would engage, the team found they couldn't modify agent logic or add new workflows without...
“What’s been exciting is seeing the Color Crew take ownership of Madi. They’ve taken their deep understanding of the customer and turned it into the ability to build and shape the experience themselves. That’s been a really meaningful transformation for the team.”
Salon-quality hair color products and professional coloring services for consumers.
Generative AI platform for automated enterprise customer support and workflows.
Madison Reed's Customer concierge is part of this use case:
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.