Use cases

ActivationThe AI team that gets every user to value and to paid: onboarding and free-to-paid Plays on your stack.ExpansionThe AI team that grows revenue from the users you already have: upsell and cross-sell Plays on your stack.SupportAn AI team for support operations: N1 ticket Plays, QA and Voice of Customer, and incident handling. Copilot-first, grounded in your knowledge, on your stack.RetentionKeep the customers you have and recover the ones you lost: Success copilot, churn prevention, and churn recovery Plays on your stack.Use cases →

Product

Agents

Customer Support AgentsReactive agents that answer every message with your knowledge and each user’s context.Proactive Agentic PlaysProactive agents that reach users on signals, segments and needs.

Quality

Agent ControlSkills, guards, human in the loop and traces that define, limit, approve and show what your agents do.AnalysisVoice of Customer on every conversation and performance for every agent.ExperimentsTest changes on a segment or sample of users and keep what works best.

Platform

IntegrationsCrisp, Zendesk, Intercom, Notion, Slack and CRM. Stack, do not replace.Zentesimal AI ManagerBuild, train and analyse your agent talking to a chat.Connect to Claude/ChatGPTStep-by-step guide to connect Zentesimal to Claude or ChatGPT.

Customer stories

Metricool customer story~30,000 conversations/month, Plays in Crisp and +300% churn recovery.Blimey customer story15× upselling revenue, WeChat, and 100% of purchase signals covered.Customer stories →

Resources

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Getting started
- Find your way around the app
Account and team
Plays
- Play settings
  Add an action to a worker
  Schedule a follow-up from a worker
  Let a Play browse a public URL
  Add a trigger to a worker
  Schedule a worker to run on a cadence
  Limit a trigger with customer segments
  Wake a Play when another Play finishes a result
  Add or edit Guards
  Edit Agent Skills for a Play
  Save and restore skill versions
  Set Play input fields
  Use Datadog RUM as worker input
- Running Plays
  How to run a worker
  Read and filter Results
  Add a note on a Result
  Add baseline and target lines to Results charts
  Add a prompt column on Results
  Reprocess Crisp conversations with a Chatbot
Knowledge
Talk to Zentesimal
Customer support
- Review chat escalations after the fact
- Ask Internal Q&A in a Slack DM
Integrations
- Connect Datadog
Tasks and dashboards
- Save a Play Results view as a dashboard
- Arrange tiles on Account dashboards

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Zentesimal

© 2026 Zentesimal Inc.

Delaware corporation · EIN 39-4463410
251 Little Falls Drive, Wilmington, DE 19808, USA

Features

Customer Support Agents
Proactive Agentic Plays
Agent Control
Analysis
Experiments
Integrations
Zentesimal AI Manager
Escalation quality

Use cases

Activation
Expansion
Support
Retention

Who it’s for

SaaS developers

Compare

vs Intercom Fin
vs Zendesk AI
vs ChatGPT / Claude
vs DIY / in-house
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vs Vitally
vs ChurnZero
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Metricool customer story
Blimey customer story
Pricing
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