Sales reps spent 50% of prep time hunting for internal knowledge. Now, AI automatically extracts and summarizes relevant slides.
A Japanese telecommunications enterprise with over 10,000 employees manages a massive product portfolio, requiring extensive middle-office operations to support its core 5G communications business.
Sales preparation was severely bottlenecked, with representatives spending almost 50 percent of their preparation time just collecting and organizing...
“A bottom-up approach in every department could not adequately accelerate the use of generative AI.”
Telecommunications operator providing mobile, fixed-line, and digital services.
Employed agile development to build KDDI's generative AI document search and summarization system.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KDDI's Sales document search is part of this use case:
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Information scattered across platforms bottlenecked teams. Now, product managers use AI agents to instantly draft polished documentation.
Sales reps lost hours manually hunting for proposal data. Now, teams consult AI first to surface best practices and draft pitches.
Staff chased devs for answers buried in scattered apps. AI now unifies the data, saving 20 minutes on every internal query.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Sales reps spent 50% of prep time hunting for internal knowledge. Now, AI automatically extracts and summarizes relevant slides.
A Japanese telecommunications enterprise with over 10,000 employees manages a massive product portfolio, requiring extensive middle-office operations to support its core 5G communications business.
Sales preparation was severely bottlenecked, with representatives spending almost 50 percent of their preparation time just collecting and organizing...
“A bottom-up approach in every department could not adequately accelerate the use of generative AI.”
Telecommunications operator providing mobile, fixed-line, and digital services.
Employed agile development to build KDDI's generative AI document search and summarization system.
Enterprise software, cloud infrastructure, and consumer electronics platform.
KDDI's Sales document search is part of this use case:
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Information scattered across platforms bottlenecked teams. Now, product managers use AI agents to instantly draft polished documentation.
Sales reps lost hours manually hunting for proposal data. Now, teams consult AI first to surface best practices and draft pitches.
Staff chased devs for answers buried in scattered apps. AI now unifies the data, saving 20 minutes on every internal query.
Siloed data and anxiety held back adoption. HR’s "Middle Out" strategy unified systems, turning scattered docs into trusted answers.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.