AI answers
The agent answers using your articles and the user’s real account state.
[ INTAKE · PRODUCT ]
Use your documentation as the base, then let the agent combine it with real product data to resolve better.

Publish answers, connect documentation, and let AI use trusted knowledge before escalating to the team.
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The agent answers using your articles and the user’s real account state.
The team replies with up-to-date and consistent knowledge.
Publish guides by collection so customers can help themselves.
Contextual docs
The agent combines articles with plan, settings, usage, and state to give a specific answer.

AI resolution
AI answers with documentation and real account state. If it cannot resolve, it escalates with context.

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

History, conversations, and relevant data in one place.
See how it worksGroup repeated conversations and spot what matters most.
See how it worksUse every conversation to improve support and documentation.
See how it worksThe agent is designed to work with customer data in a controlled way, with secure access and human decisions when they matter.
Yes. Customers can find answers on their own and AI can answer from those articles.
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.