Routine VPN and payslip queries bottlenecked support. Now, embedded AI agents resolve basic requests in Teams, deflecting 65% of tickets.
A service management software provider operating across three countries aims to disrupt an enterprise IT support industry dominated by siloed, legacy platforms.
Employees face app fatigue when searching for information across disconnected tools, while support teams are inundated with repetitive inquiries....
“Over the last three decades—from BMC Remedy to ServiceNow—traditional service management has evolved but still requires high setup overhead and maintenance. However, they have all been focused on how IT can best serve employees. What we needed in the next generation was to empower employees and IT to best serve themselves using automation and an Agentic AI approach.”
Atomicwork's Employee support is part of this use case:
Agentic service management platform for enterprise IT, HR, and business workflows.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
Employees faced 30-hour wait times for support. Now, agents in Slack unify data to resolve requests autonomously.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Routine VPN and payslip queries bottlenecked support. Now, embedded AI agents resolve basic requests in Teams, deflecting 65% of tickets.
A service management software provider operating across three countries aims to disrupt an enterprise IT support industry dominated by siloed, legacy platforms.
Employees face app fatigue when searching for information across disconnected tools, while support teams are inundated with repetitive inquiries....
“Over the last three decades—from BMC Remedy to ServiceNow—traditional service management has evolved but still requires high setup overhead and maintenance. However, they have all been focused on how IT can best serve employees. What we needed in the next generation was to empower employees and IT to best serve themselves using automation and an Agentic AI approach.”
Atomicwork's Employee support is part of this use case:
Agentic service management platform for enterprise IT, HR, and business workflows.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Staff drowned in 10k weekly tickets. AI now deflects 70% of volume and maps friction points, cutting payment tickets by 50%.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Engineers lost 50% of time searching systems. AI now correlates data for instant answers, boosting daily ticket closures by 40%.
Employees faced 30-hour wait times for support. Now, agents in Slack unify data to resolve requests autonomously.
One IT agent per 1,000 staff battled "tab chaos." AI now resolves 90% of requests autonomously, freeing humans for high-value work.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.