Phone support costs slowed growth. Agents now use real-time device telemetry to diagnose issues without humans.
The most vertically integrated U.S. smart home company, serving over 2 million customers across security, energy management, and home automation, with industry demand projected to grow over 20% annually through 2030.
With 80% of customer service handled by phone and an average of 14 devices per customer generating varied support requests, Vivint needed to scale...
“Agentforce is truly a transformational opportunity that we see in front of us. Salesforce is the backbone of our technology stack, and Agentforce has really augmented our platform and our experience in a way that we haven't seen.”
Smart home security and automation systems with professional monitoring services.
Helped Vivint design and implement AVA, its AI agent for customer service.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Vivint's Customer support is part of this use case:
Related implementations across industries and use cases
27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
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.
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.
Phone support costs slowed growth. Agents now use real-time device telemetry to diagnose issues without humans.
The most vertically integrated U.S. smart home company, serving over 2 million customers across security, energy management, and home automation, with industry demand projected to grow over 20% annually through 2030.
With 80% of customer service handled by phone and an average of 14 devices per customer generating varied support requests, Vivint needed to scale...
“Agentforce is truly a transformational opportunity that we see in front of us. Salesforce is the backbone of our technology stack, and Agentforce has really augmented our platform and our experience in a way that we haven't seen.”
Smart home security and automation systems with professional monitoring services.
Helped Vivint design and implement AVA, its AI agent for customer service.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Vivint's Customer support is part of this use case:
Related implementations across industries and use cases
27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Rigid IVRs failed to naturally resolve surging warranty and order calls. Now, an AI voice agent handles live post-sales conversations.
27k monthly cases strained teams. AI agents now resolve 37% of inquiries and automate internal IT support via Slack.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
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.
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.