Give your AI agents access to Gorgias.
Connecting your AI agents to Gorgias customer support allows them to resolve user inquiries, retrieve historical contexts, and manage helpdesk tickets directly within your helpdesk environment.
- Manage helpdesk tickets: search, create, update, and close tickets to resolve customer inquiries without human intervention.
- Access customer profiles: retrieve customer data and edit custom field definitions to maintain accurate records.
- Analyze helpdesk metrics: pull live operational statistics and query database tables to monitor support performance.
- Control knowledge bases: publish, draft, and update help center articles to keep customer-facing resources accurate.
Streamline customer service with Gorgias customer support
This integration equips your AI agents with the tools to handle routine helpdesk operations. By reading message threads, applying macros, and adding internal notes, agents resolve issues faster. They can also escalate complex tickets to specific teams, ensuring a smooth transition when human assistance is needed.
Keep documentation and configurations updated
Your agents can manage knowledge bases and fine-tune support settings. They can update AI guidance articles, modify tone-of-voice parameters, and pin product metafields for better product recommendations. This keeps your automated support aligned with your brand guidelines and product catalog.
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Use Case Scenarios
Support ticket management at scale. When a helpdesk agent needs to search, update, or analyze dozens of customer conversations per day, this integration surfaces ticket data through natural language commands—finding tickets by what the customer said, adding tags or internal notes, and applying macros to standardize responses. This eliminates manual navigation and speeds up ticket resolution, especially for teams with high message volume or complex routing needs.
AI-powered customer service automation. Teams building intelligent support workflows can create support actions, manage knowledge bases, and enable AI agents to handle specific customer inquiries end-to-end. The integration supplies everything needed: ticket search, customer profile lookup, message posting, guidance articles, and skill configuration—allowing AI agents to deliver personalized responses grounded in real support data.
Real-time reporting and performance tracking. Support managers can pull operational metrics (response times, automation rates, SLA adherence, agent productivity) without leaving their workflow. The Reporting Stats API integration fetches live stats by team, channel, or agent, making it easy to spot trends, validate process changes, or diagnose bottlenecks on demand.
Knowledge base authoring and AI agent training. Product and support teams can create, draft, publish, and organize guidance articles and skills—building the knowledge foundation that AI agents and human agents rely on. The integration handles publication workflows, draft versioning, and availability rules, so merchant-facing content and AI training data stay synchronized.
Helpdesk rule automation and workflow customization. Teams can create and manage automation rules (triggered on ticket events) and macros (applied manually by agents) to enforce SLAs, tag conversations, assign escalations, and post standardized responses. This reduces repetitive work and ensures consistent handling of common scenarios (refunds, billing inquiries, technical troubleshooting).
Applications
E-commerce customer support. Shopify, BigCommerce, and other online retailers use this integration to connect their helpdesk with product catalogs, orders, and customer purchase history—enabling AI agents and human agents to answer order status, refund, and product recommendation questions instantly without context-switching.
SaaS and B2B support operations. Software and subscription service teams leverage the integration's ticket search, custom field management, and reporting to handle high volumes of technical support, onboarding issues, and account management queries while maintaining visibility into team performance and SLA compliance.
Marketplace seller support and fulfillment platforms. Multi-vendor platforms use Gorgias to route customer inquiries to the right seller, pull seller-side custom data, and maintain conversation history across integrations—ensuring sellers can respond quickly and customers receive consistent, unified support regardless of communication channel.
Education and community support. Online schools, membership sites, and community platforms use the knowledge base and AI agent capabilities to answer FAQs, troubleshoot account access, and field common questions at scale—freeing moderators and support staff to focus on complex or escalated issues.
Customer success and retention teams. Subscription and recurring-revenue businesses monitor support metrics, track customer health via custom ticket fields, and use automation rules to flag at-risk accounts or trigger proactive outreach—turning support data into a strategic retention tool.
Frequently Asked Questions
What can I actually do with the Gorgias integration?
This integration allows you to manage your entire helpdesk workflow using natural language. You can search, retrieve, create, and update support tickets; manage customer profiles; apply macros; snooze or escalate tickets; add internal notes; and pull detailed support metrics directly through your AI assistant.
Can I use this integration to configure and test my Gorgias AI Agent?
Yes. You have comprehensive control over your AI Agent settings. You can manage knowledge base guidances and skills, update the agent's tone of voice, manage excluded handover topics, and even run test simulations using the preview tool to see how the AI Agent will respond before going live.
How fresh is the reporting and analytics data?
The integration provides two data paths: live operational stats (like current ticket volume or SLA status) are pulled in real-time directly from the Gorgias API. For complex, high-volume, or historical analysis, you can query a dedicated analytics data warehouse, which is refreshed roughly once per day.
Are there safeguards to prevent the AI from accidentally emailing my customers or changing live rules?
Absolutely. Safety is a core design principle of this integration. New automation rules and support actions are always created in a 'disabled' or 'draft' state so a human can review them. Furthermore, sending a real outbound email to a customer requires explicit confirmation, preventing any accidental automated messages.