Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
A Fortune 500 IT services company with 130,000 consultants across more than 70 countries, where client staffing depends on accurate, current competency profiles for every role.
Consultant profiles in Workday were updated manually and infrequently, creating a growing gap between actual skills and recorded credentials. A...
“People didn't know what data was available or who to go to for help.”
IT services and consulting for enterprise digital transformation and cloud infrastructure.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
DXC Technology's Skills recommendations is part of this use case:
Related implementations across industries and use cases
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Auditors spent five days manually validating files. AI now parses the data against contracts, cutting manual effort by 90%.
Manual reviews bottlenecked 2-hour client deadlines. Now, an AI agent instantly screens applicants to deliver prioritized shortlists.
Spreadsheets slowed staffing to eight weeks. AI agents now screen talent and automate contracts, cutting cycle times by 50%.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
A Fortune 500 IT services company with 130,000 consultants across more than 70 countries, where client staffing depends on accurate, current competency profiles for every role.
Consultant profiles in Workday were updated manually and infrequently, creating a growing gap between actual skills and recorded credentials. A...
“People didn't know what data was available or who to go to for help.”
IT services and consulting for enterprise digital transformation and cloud infrastructure.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
DXC Technology's Skills recommendations is part of this use case:
Related implementations across industries and use cases
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Staff waited 24 hours for answers scattered across wikis. An AI agent now resolves queries in under 30 seconds.
Auditors spent five days manually validating files. AI now parses the data against contracts, cutting manual effort by 90%.
Manual reviews bottlenecked 2-hour client deadlines. Now, an AI agent instantly screens applicants to deliver prioritized shortlists.
Spreadsheets slowed staffing to eight weeks. AI agents now screen talent and automate contracts, cutting cycle times by 50%.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Routine queries burdened HR. Now, an AI WhatsApp agent instantly answers remote factory workers, escalating complex issues to HR.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.