A massive merger scattered data across 124 services. Now, AI resolves routine queries while 700 human reps tackle complex cases.
A newly formed Japanese tech conglomerate uniting over 100 digital businesses, 20,000 employees, and 700 operational systems serving 107 million users worldwide.
Following a massive merger, customer information became fragmented across 124 different services, making it impossible to track a user's full journey...
“We truly couldn’t run our business without Slack. Personally, I’m using Slack throughout the day. If I’m not in virtual meetings, I’m on Slack.”
Internet services platform for messaging, search, e-commerce, and digital payments.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
LY Corporation's Customer support is part of this use case:
Related implementations across industries and use cases
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
A massive merger scattered data across 124 services. Now, AI resolves routine queries while 700 human reps tackle complex cases.
A newly formed Japanese tech conglomerate uniting over 100 digital businesses, 20,000 employees, and 700 operational systems serving 107 million users worldwide.
Following a massive merger, customer information became fragmented across 124 different services, making it impossible to track a user's full journey...
“We truly couldn’t run our business without Slack. Personally, I’m using Slack throughout the day. If I’m not in virtual meetings, I’m on Slack.”
Internet services platform for messaging, search, e-commerce, and digital payments.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
LY Corporation's Customer support is part of this use case:
Related implementations across industries and use cases
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Fragmented tools forced manual workflows. AI now drafts case summaries and handles routine queries, optimizing support effort by 25%.
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Engineers manually pieced together context across tools. Now, AI agents in Slack surface data and suggest fixes instantly.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.