Customer Support AI use cases

Customer SupportSales & Outreach+1

Real-time contact-center co-pilot workflow where AI listens to live voice support, detects intent and sentiment, retrieves context, updates customer profiles, and guides agents through next-best actions.

Outcome: In a company-authored arXiv case study, the team reports lower agent cognitive load and production pilot gains including reduced average handling time, higher lead-to-enquiry conversion, and higher booking conversion.

Internal-first AI rollout workflow where ServiceNow tests AI use cases internally, learns from failures like weak support summaries, then turns successful pilots into customer-facing tools.

Outcome: ServiceNow built a feedback loop where internal AI pilots exposed performance, data, workflow, and adoption issues early enough to refine products before broader customer rollout.

Customer SupportBusiness Operations+1

Claims communication workflow where AI drafts clearer, less jargony customer emails for insurance representatives, with humans verifying the message before sending.

Outcome: The useful result is a more consistent customer-communication layer for high-volume claims conversations, with humans still responsible for checking accuracy.

Customer SupportResearch & Analysis+1

AI CEO hotline workflow where customers and merchants talk to an AI version of Klarna's CEO, then transcripts and summaries are analyzed into product feedback for internal teams.

Outcome: The useful result is a faster, more conversational feedback intake loop that routes customer and merchant issues toward product and engineering teams without relying only on surveys or support tickets.

Customer SupportCompany AI Adoption+1

Driver-support triage workflow where Claude handles common driver questions and escalates more complex issues to human support.

Outcome: Lyft says the Claude-powered assistant reduced average customer service resolution time by 87% while routing more sensitive or complicated issues to human support.

Customer Support

Uses Claude Code across Galileo’s 15 code repositories to answer complex customer deployment questions, then turns valuable Slack support conversations into public knowledge-base articles with Pylon.

Outcome: Gives customer-facing teams a way to answer deep technical questions without constantly interrupting engineers, while turning one-off support conversations into reusable public documentation.