Use case 1
Identify friction in user journeys
Toolhouse AI workers can use LiveSession data to spot where users hesitate, drop off, or repeat actions inside key flows. This helps product and operations teams identify friction without manually reviewing sessions one by one. Instead of relying on scattered feedback, teams can automate monitoring around onboarding, checkout, signup, or activation journeys. The result is faster workflow automation for product improvement and better conversion outcomes.
Your LiveSession AI Worker
LiveSession Support AI Worker
Active
You: A customer says checkout keeps failing but support cannot reproduce it. Pull the relevant session behavior, summarize what happened step by step, and draft a support-ready incident brief with likely causes.
Reviewing session timeline for checkout errors...
Preparing a support-ready incident summary...
Checkout issue summarized for support in minutes.
The worker converted confusing session behavior into a clear case summary, including the user path, repeated failure point, and probable cause for escalation. Support ca...
14Tickets accelerated
37Minutes saved per case
manual investigationBeforeto7 minWith Toolhouse