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.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
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.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Manually updated profiles left skills stale. The first prototype took two hours per 1,000 consultants—now the agent covers 130K in minutes.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.