Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
A global AI cloud infrastructure provider serves the world’s top AI labs and enterprises, where a single hour of downtime incurs massive costs.
Rapid growth exposed a fragmented workflow where engineers manually pieced together context across disparate tools like FreshDesk and Slack. Staff...
“Every interaction has to protect their time and keep their systems running”
GPU cloud infrastructure for large-scale AI training and inference workloads.
Enterprise AI platform for large language models and semantic search tools.
CoreWeave's Customer support is part of this use case:
Related implementations across industries and use cases
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
A global AI cloud infrastructure provider serves the world’s top AI labs and enterprises, where a single hour of downtime incurs massive costs.
Rapid growth exposed a fragmented workflow where engineers manually pieced together context across disparate tools like FreshDesk and Slack. Staff...
“Every interaction has to protect their time and keep their systems running”
GPU cloud infrastructure for large-scale AI training and inference workloads.
Enterprise AI platform for large language models and semantic search tools.
CoreWeave's Customer support is part of this use case:
Related implementations across industries and use cases
Onboarding across four platforms required weeks of shadowing. Now, an AI assistant instantly answers Slack queries so new hires self-serve.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
AI support risked hallucinations. Now, 20 specialized models fact-check every answer against strict company policies.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Engineers lost up to an hour digging through Jira and wikis. Now, an AI assistant instantly surfaces secure, attributed answers.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.