OpenAI
OpenAI scaled inbound sales with a 98%-accurate AI assistant
OpenAI's inbound sales assistant answers leads in minutes in their own language, lifting first-email accuracy from 60% to 98%.
- First-email accuracy climbed from 60% to 98%
OpenAI's GPT-5 research assistant lets any team turn millions of support tickets into plain-language insight in minutes, not weeks.
OpenAI receives millions of support tickets a year, each carrying a frustration, an idea, or a request worth understanding.
Surfacing the "why" behind the trends required a data scientist and weeks of work, so curiosity was rationed and leaders leaned on static dashboards.
“The process required deep technical expertise, and it was cutting off our curiosity.”
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 Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
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.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
DIRECTV adopted Databricks Genie so anyone can query its 1,200-attribute customer dataset in plain language, getting instant answers instead of waiting days or weeks.
OpenAI's GPT-5 research assistant lets any team turn millions of support tickets into plain-language insight in minutes, not weeks.
OpenAI receives millions of support tickets a year, each carrying a frustration, an idea, or a request worth understanding.
Surfacing the "why" behind the trends required a data scientist and weeks of work, so curiosity was rationed and leaders leaned on static dashboards.
“The process required deep technical expertise, and it was cutting off our curiosity.”
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 Slack-based GTM Assistant gives sales reps a 20% productivity lift — about an extra day a week with customers.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
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.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
DIRECTV adopted Databricks Genie so anyone can query its 1,200-attribute customer dataset in plain language, getting instant answers instead of waiting days or weeks.