Renewal quotes built by hand, scattered across regional systems—quarter-end always a scramble. Watsonx now generates them six months early.
A technology services division supporting 11,000+ hardware and software offerings in 140 countries, processing 2 million customer support cases annually.
Internal sales processes were manual and fragmented, with different systems and workflows built up across global regions over time. Sellers built...
“We had different systems around the world and different processes that had built up over time.”
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Revenue lifecycle management platform for CLM, CPQ, and document automation.
IBM's Renewal automation is part of this use case:
Related implementations across industries and use cases
Reps manually reentered up to 10 campaign jobs per renewal. Now, an AI agent autonomously clones past campaigns via natural language.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Reps manually reentered up to 10 campaign jobs per renewal. Now, an AI agent autonomously clones past campaigns via natural language.
Reps faced 70-case queues, taking days to manually cross-reference specs. Now, an AI drafts quotes in minutes for final human review.
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.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Renewal quotes built by hand, scattered across regional systems—quarter-end always a scramble. Watsonx now generates them six months early.
A technology services division supporting 11,000+ hardware and software offerings in 140 countries, processing 2 million customer support cases annually.
Internal sales processes were manual and fragmented, with different systems and workflows built up across global regions over time. Sellers built...
“We had different systems around the world and different processes that had built up over time.”
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Revenue lifecycle management platform for CLM, CPQ, and document automation.
IBM's Renewal automation is part of this use case:
Related implementations across industries and use cases
Reps manually reentered up to 10 campaign jobs per renewal. Now, an AI agent autonomously clones past campaigns via natural language.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Manual coding and RFP analysis slowed teams. AI agents in Teams now generate the drafts, achieving 73% code accuracy.
Reps manually reentered up to 10 campaign jobs per renewal. Now, an AI agent autonomously clones past campaigns via natural language.
Reps faced 70-case queues, taking days to manually cross-reference specs. Now, an AI drafts quotes in minutes for final human review.
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.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.