OpenAI's Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
OpenAI's go-to-market team tripled in size in under a year while launching new products almost every week.
Reps spent an hour preparing for thirty-minute calls, bouncing across dozens of systems, while customers sent hundreds of product questions a week...
“We were constantly going back and forth on what does good look like here, really inspecting responses and operationalizing “good” inside of our system.”
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 inbound sales assistant answers leads in minutes in their own language, lifting first-email accuracy from 60% to 98%.
OpenAI's finance team built a contract data agent that cut reviews in half and scaled past 1,000 contracts a month without growing headcount.
Single-source data gaps stalled global staffing. AI agents now aggregate 10+ providers to map the market in 2 weeks, not 2 months.
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 Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
OpenAI's go-to-market team tripled in size in under a year while launching new products almost every week.
Reps spent an hour preparing for thirty-minute calls, bouncing across dozens of systems, while customers sent hundreds of product questions a week...
“We were constantly going back and forth on what does good look like here, really inspecting responses and operationalizing “good” inside of our system.”
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 inbound sales assistant answers leads in minutes in their own language, lifting first-email accuracy from 60% to 98%.
OpenAI's finance team built a contract data agent that cut reviews in half and scaled past 1,000 contracts a month without growing headcount.
Single-source data gaps stalled global staffing. AI agents now aggregate 10+ providers to map the market in 2 weeks, not 2 months.
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.