Customers
What founders using the agent say
We collect direct references from SaaS founders using the agent to deflect repetitive tickets before hiring their first CS. This page will publish verified stories as we collect them.
Last updated: May 13, 2026.
How we collect references
We only publish references from real customers we have spoken with directly. We never fabricate, edit, or pay for testimonials.
Before publishing any story, the person or company involved reviews it and gives explicit consent.
Our goal is for each reference to be specific and useful for people evaluating the AI agent: explaining a concrete problem, how it was solved, and what changed.
What you will find here
This page is built to collect stories from early-stage SaaS teams that changed founder-led support with the AI agent.
We will publish concrete cases with context: company stage, ticket volume, starting problem, which account data the agent uses, and what changed.
We are in the process of collecting references. The first ones will appear soon.
- Founders who stopped answering the same questions every week.
- Small SaaS teams using account state to resolve support.
- SaaS startups measuring real deflection in production.
Our commitment to authenticity
We believe testimonials are only useful if they are honest. That is why we prefer to wait for real references rather than publishing content that does not reflect concrete experiences.
If a story no longer represents how a team uses the agent, we update or remove it with that customer's agreement.
Are you using the agent at your company?
If you are an AI support customer and want to share your experience, write to us. We will reach out to understand your story and publish it with your permission.
This page includes no paid or incentivised references. Every story published is collected with the explicit consent of the customer mentioned.