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AI agent use cases for support teams

How support teams put AI agents to work: real deployments with the results they reported, and recipes you can try. Every example links to its source.

9 examples
Recipe

Triage support tickets with an n8n AI Agent and confidence-based routing

An n8n workflow cleans and validates incoming tickets with plain code nodes, uses an AI Agent only to classify urgency and type, and routes each ticket based on how confident the …

The suggested routing: above 0.85 processes autonomously, 0.6-0.85 is processed but flagged for review, and below 0.6 goes to a human.

n8nCustomer support · Workflow automation
Case studySun & Ski Sports

How Sun & Ski Sports used a Sierra agent for service and product advice

Texas outdoor retailer Sun & Ski Sports launched a Sierra agent called 'Sunny'. It started with returns and order status and grew into giving product advice on product pages. Sier…

Sierra reports a 3x increase in product page conversion for customers who engage with the agent.

SierraCustomer support
Case studySubstack

How Substack automated Tier 1 reader and publisher support with Decagon

Substack used Decagon's AI agent to handle repetitive support requests such as cancellations and email imports. Decagon reports that most inquiries are now resolved without a huma…

Decagon reports that the agent resolves more than 90% of user questions without human intervention.

DecagonCustomer support
Case studyRV Tech (Rivian and Volkswagen Group joint venture)

How RV Tech sped up vehicle software test generation with Devin

The Rivian–Volkswagen joint venture uses Devin to generate software-in-the-loop tests from requirements and to pre-triage vehicle access tickets. As reported by Cognition, test ou…

As reported by Cognition: a '10-15x increase in test generation velocity'.

DevinTesting · Customer support
Case studyOpenTable

How OpenTable resolved restaurant and diner questions with Agentforce

OpenTable launched Agentforce agents on its website for restaurants and diners, grounded in its existing knowledge articles. Salesforce reports that most restaurant cases were res…

Salesforce reports 73% case resolution within 3 weeks of launch for the restaurant agent.

Agentforce for ServiceCustomer support · Knowledge base
Case studyOBI

How OBI handled peak-season service calls with Parloa voice agents

European home-improvement retailer OBI deployed Parloa voice agents in several countries to answer routine calls and route complex ones. Parloa reports high monthly volume, solid …

Parloa reports 45,000 monthly inquiries handled by AI agents and 89% customer satisfaction (CSAT).

ParloaCustomer support
Case studyLightspeed Commerce

How Lightspeed handled most of its support volume with Fin

Lightspeed, a commerce platform for merchants in more than 100 countries, put Fin in front of its multi-region, multilingual support queue and gave its human agents Copilot. Inter…

Intercom reports a Fin resolution rate of 65% and a Fin involvement rate of 99%.

FinGitHub CopilotCustomer support
Case studyHealthie

How Healthie automated sales call coaching and churn alerts with Zapier Agents

Healthcare software company Healthie built Zapier Agents that review sales calls, draft follow-ups and flag churn risks across its systems. Zapier reports large weekly time saving…

Zapier reports 60+ hours saved per week across Sales and CS.

Zapier AgentsWorkflow automation · Reporting
Case studyPlaid

How a Plaid support lead built an SLA dashboard with Replit Agent

A Plaid employee who manages support packages built a Zendesk-based SLA and uptime dashboard with Replit during a company hackathon. It replaced a manual monthly reporting routine.

As reported by Replit: '96+' hours saved and '10x' faster data access.

Replit AgentInternal tools · Reporting

Use cases by team

Where these examples come from

Every example links to its source: a company's own engineering blog, a vendor's customer story, official documentation or a public write-up. AgentGid writes the summary; the figures under “Results” are quoted from the source as it reports them, and most customer stories are published by the vendor of the tool, so read them as the vendor's claims. Recipes follow the official docs at the time we checked them; tools change quickly, so the linked docs are the reference.

Know a good example? Tell us through the about page.