Named examples with direct links to the complete customer story. Vendor-published results should still be read critically.
Connected HubSpot, Workato, Gong and AWS so customer and campaign data could trigger repeatable processes.
Used a shared CRM to segment leads, assign owners and engage new customers quickly.
Built and tested a generative-AI contact-centre workflow with automated evaluation.
Added AI-generated summaries so agents could focus on the customer conversation.
Used AI to turn routine shipment emails into structured, actionable workflows.
Paired Copilot rollout with more than 60 training videos and a collaboration site.
Changed model-serving architecture to improve efficiency while supporting more customers.
Deployed a controlled generative-AI assistant for scalable and out-of-hours support.
Used conversational AI and a cloud contact-centre platform to improve routing and self-service.
Built a controlled AI workflow for background-check validation while retaining final human review.
Used service copilots to summarize cases and conversations, draft replies and help representatives handle more work.
Built an AI assistant that handles booking, refund and travel questions, escalating the small remainder.
Applied AI to summarize incoming energy-service emails and accelerate customer communications.
Used historical service interactions for answer suggestions and automated post-call summaries.
Built voice-first service experiences while moving human agents toward higher-value oversight roles.
Applied generative AI to support industrial teams and customers with faster access to technical information.
Built an internal assistant that connects product documentation and prior support resolutions.
Orchestrated specialized agents behind one web assistant to improve speed and containment.
Created a multilingual digital assistant spanning chat, messaging apps and the mobile app.
Connected engagement, self-service and case resolution before expanding automation.