Context-based segments
Send messages to customers by plan, usage, status, or history.
See how it works[ INTAKE · PRODUCT ]
Send proactive answers and notices when the account state shows a user needs help.

Embedded widget inside your SaaS to resolve where the user gets blocked.
Turn repetitive emails into tickets with visible account state.
Handle Slack questions with account context before replying.
Proactive messages
Use the context already in the support workspace to anticipate setup, plan, permission, or integration questions.

Insights
Identify deflected tickets, repeated topics, and cases that still reach the team.

Connect conversations, data, and requests so support, product, and go-to-market work from the same reality.

Send messages to customers by plan, usage, status, or history.
See how it worksCollect feedback or communicate important changes before customers open a ticket.
See how it worksReview conversations and replies by account before reaching out again.
See how it worksINTEGRATIONS
Sync conversations, customer data, and tasks with the tools your team already uses.
The agent is designed to work with customer data in a controlled way, with secure access and human decisions when they matter.
You can send proactive alerts, product communications, surveys, and follow-up messages.
The agent is an AI support agent embedded in your SaaS. It reads real account context and answers repeated questions before they add load to the team.
No. The agent reduces repeated work and escalates the cases where a person adds judgment.
Yes, but it does not stop there. The agent combines docs with plan, settings, usage, and real account state.
Most teams start with the repetitive questions creating the most load and the account data needed to resolve them.