OpenAI's inbound sales assistant answers leads in minutes in their own language, lifting first-email accuracy from 60% to 98%.
When ChatGPT Enterprise and Business launched, tens of thousands of companies reached out every month, far more than OpenAI's team could engage.
Static forms and linear hiring couldn't deliver the personalized, accurate answers buyers wanted — on compliance, plan choice, peer results — so...
“We were getting thousands of leads a month and only had capacity to talk to a small fraction. Some leads needed a couple of questions answered to really make a great buying experience, but we weren’t able to provide that personalized experience.”
AI research and deployment company developing generative models and tools.
Note — OpenAI is also the vendor behind this implementation.
Related implementations across industries and use cases
OpenAI's Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
OpenAI's GPT-5 research assistant lets any team turn millions of support tickets into plain-language insight in minutes, not weeks.
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.
OpenAI's inbound sales assistant answers leads in minutes in their own language, lifting first-email accuracy from 60% to 98%.
When ChatGPT Enterprise and Business launched, tens of thousands of companies reached out every month, far more than OpenAI's team could engage.
Static forms and linear hiring couldn't deliver the personalized, accurate answers buyers wanted — on compliance, plan choice, peer results — so...
“We were getting thousands of leads a month and only had capacity to talk to a small fraction. Some leads needed a couple of questions answered to really make a great buying experience, but we weren’t able to provide that personalized experience.”
AI research and deployment company developing generative models and tools.
Note — OpenAI is also the vendor behind this implementation.
Related implementations across industries and use cases
OpenAI's Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
OpenAI's GPT-5 research assistant lets any team turn millions of support tickets into plain-language insight in minutes, not weeks.
Reps lost hours manually assessing leads across disconnected systems. Now, AI agents evaluate intent and instantly route top prospects.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Staff missed the 30% of leads arriving after hours. AI agents now field 24/7 chats and book tours, prioritizing ready buyers.