As staff quadrupled, manual support couldn't keep pace. An AI agent now resolves nearly three in four tickets without human input.
A global data and AI leader serving 60% of the Fortune 500, with a workforce that quadrupled to 8,000 employees in just three years.
Rapid expansion created unsustainable pressure on support teams who needed to scale services without adding headcount. Manual processes for IT and HR...
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Agentic AI platform for automating enterprise employee support and workflows.
Databricks's Employee support is part of this use case:
Related implementations across industries and use cases
Software provisioning took 4 days, draining billable time. AI now automates approvals in chat to grant access instantly.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Software provisioning took 4 days, draining billable time. AI now automates approvals in chat to grant access instantly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
As staff quadrupled, manual support couldn't keep pace. An AI agent now resolves nearly three in four tickets without human input.
A global data and AI leader serving 60% of the Fortune 500, with a workforce that quadrupled to 8,000 employees in just three years.
Rapid expansion created unsustainable pressure on support teams who needed to scale services without adding headcount. Manual processes for IT and HR...
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Agentic AI platform for automating enterprise employee support and workflows.
Databricks's Employee support is part of this use case:
Related implementations across industries and use cases
Software provisioning took 4 days, draining billable time. AI now automates approvals in chat to grant access instantly.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
25 agents were overwhelmed by 19k+ monthly compliance queries. Now, AI fields routine questions, freeing human experts for the toughest cases.
Software provisioning took 4 days, draining billable time. AI now automates approvals in chat to grant access instantly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.