
AI customer experience intelligence
Lang.ai is a no-code service automation platform that empowers customer support teams to build AI models they directly control to improve and automate critical support processes. By auto-tagging every support interaction with custom data categories, Lang.ai cuts average time to resolution by over 60% and eliminates tedious manual tasks like routing, triage, and prioritization.
Lang.ai enables teams to define their own unique CX categories to capture and structure more data than previously possible. The platform auto-tags and categorizes customer interactions to reveal new patterns, automates manual agent tasks including routing, triage, and prioritization, and provides deep analytics on customer contact reasons and trends. Seamless integration with Zendesk and Salesforce means Lang.ai works within your existing support infrastructure without disrupting established workflows.
Lang.ai is ideal for customer support teams using Zendesk or Salesforce who want to automate ticket routing, improve categorization accuracy, and gain deeper insights into customer contact patterns. CX leaders seeking data-driven decision making and support managers looking to reduce manual triage work will benefit most from the platform.
Getting started with Lang.ai involves connecting your Zendesk or Salesforce instance and defining your custom categorization taxonomy. The no-code interface allows support teams to build and refine AI models without engineering resources, and the platform begins auto-tagging interactions immediately after setup.
Pricing & Accessibility: Lang.ai pricing scales based on the number of workflows created and tickets processed. Specific pricing is available through their sales team. The platform is designed for mid-market to enterprise support operations.
Why Consider Lang.ai: Lang.ai uniquely puts control of AI models directly in the hands of support teams with a no-code approach, enabling precise auto-tagging and routing that dramatically reduces manual triage while uncovering actionable customer insights from every interaction.
Auto-tagging and categorizing customer support tickets, automating ticket routing triage and prioritization, analyzing customer contact reasons and trends, reducing manual agent workload on repetitive classification tasks, generating actionable CX insights from support interaction data
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