Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
A global technology services company with $11 billion in revenue employs 12,000 specialized consultants to manage complex SAP implementations.
Consultants struggled to manually sift through massive volumes of implementation data and interpret custom code. This research burden slowed project...
“The SAP Joule for Consultants solution provides a fantastic interface for our consultants to query. Now, they get clearer answers from the AI engine, which works across 280 million lines of code in the SAP solutions we use. SAP Joule for Consultants saves us a whopping seven million hours every year, which means more value for our customers.”
Global information technology, consulting, and business process services company.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Wipro's Technical knowledge search is part of this use case:
Related implementations across industries and use cases
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Manual research bottlenecked migrations. AI now synthesizes 200k pages of technical docs to answer queries, freeing experts for strategy.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
A global technology services company with $11 billion in revenue employs 12,000 specialized consultants to manage complex SAP implementations.
Consultants struggled to manually sift through massive volumes of implementation data and interpret custom code. This research burden slowed project...
“The SAP Joule for Consultants solution provides a fantastic interface for our consultants to query. Now, they get clearer answers from the AI engine, which works across 280 million lines of code in the SAP solutions we use. SAP Joule for Consultants saves us a whopping seven million hours every year, which means more value for our customers.”
Global information technology, consulting, and business process services company.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
Wipro's Technical knowledge search is part of this use case:
Related implementations across industries and use cases
New hires took months to master SAP systems. An AI copilot now guides configuration steps, allowing consultants to deliver value on day one.
Manual research bottlenecked migrations. AI now synthesizes 200k pages of technical docs to answer queries, freeing experts for strategy.
Legacy migrations took 12.5 man-months. Engineers now set the architecture and let AI handle bulk coding, freeing them to focus on QA.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.