Master eesel AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Sign up at eesel.ai and connect your existing helpdesk platform (Zendesk, Freshdesk, Intercom, or Jira) Upload your knowledge base content and documentation to train the AI on your company's information Configure your first AI agent by setting response tone, escalation rules, and choosing between copilot or autonomous mode
💡 Quick Start: Follow these 1 steps in order to get up and running with eesel AI quickly.
Explore the key features that make eesel AI powerful for customer support agents workflows.
eesel AI reports that customers typically reach high autonomous resolution accuracy after an initial 2-4 week training period during which the system learns from your historical tickets and knowledge base. The bulk simulation feature lets you replay AI responses against your entire historical ticket database before going live, surfacing accuracy metrics, deflection rate projections, and response gaps so you can validate performance against your own data. Actual accuracy varies by deployment, ticket complexity, and the quality of training data—teams with well-documented knowledge bases and consistent past ticket resolutions tend to see faster and higher accuracy ramp-up.
eesel AI integrates with 100+ data sources, including major helpdesks like Zendesk, Freshdesk, Intercom, Jira Service Management, Help Scout, and Salesforce, plus knowledge sources like Confluence, Notion, Google Drive, Shopify, and Slack. Setup is one-click and typically takes under 30 minutes—you connect an app, eesel ingests your existing content, and begins training immediately. The platform reads context from multiple connected sources simultaneously when resolving tickets, so an agent answering a shipping question can pull from your help center docs, past resolved tickets about shipping, and your Shopify order data in a single response.
Yes—this is one of eesel's main design principles. You can start in AI Copilot mode where the AI drafts responses for human agents to review, edit, or send, then graduate to AI Triage for routing and categorization, and finally to fully autonomous AI Agent mode when you're confident in accuracy. EntryLevel, for example, runs 3 separate eesel agents in Intercom with different autonomy levels depending on the query type. This graduated approach lets teams build trust incrementally, and the bulk simulation feature provides data to justify each step up in autonomy to leadership.
The Team plan is $239/month (annual billing) and includes up to 1,000 interactions/month with 3 bots. The Business plan at $639/month adds autonomous AI agents, past-ticket training, Microsoft Teams integration, AI actions like ticket triage, and EU data residency. Custom enterprise plans add volume discounts and dedicated support. An interaction is counted each time the AI generates a response to a customer or agent query—so a multi-turn conversation counts as multiple interactions. Teams handling more than ~35 tickets per day will likely need the Business plan or a custom volume arrangement.
eesel AI is SOC 2 Type II certified and GDPR compliant, with data encrypted in transit and at rest, role-based access control, and audit logging. EU data residency is available on the Business plan and above, which is important for European companies with data localization requirements. The platform respects existing helpdesk permission structures, meaning agents only see data they already have access to in their helpdesk. eesel does not use customer data to train models for other customers—each deployment is isolated. SSO is available on enterprise plans for centralized authentication management.
Now that you know how to use eesel AI, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful customer support agents tool in minutes.
Tutorial updated March 2026