Customer support on autopilot
Founder & SaaS teams: A TinyAgent embedded on the site, and agents inside workflows, read and answer customer questions 24/7 from the team's own data, and can act, not just reply.
Agents
Workflows
Tables
Support questions arrive around the clock, but a small team can't. This pattern, common among founders and lean SaaS teams, puts an agent on the front line that actually works from the company's own data, instead of a script.
The challenge
Customer questions don't stop at 5pm, but a small team can't staff the inbox around the clock, and canned macros don't resolve anything, they just deflect.
How it’s wired
Answers from real data, not scripts
The agent is embedded on the site and dropped inside workflows, and a lookup tool built on the canvas lets it read the team's own Tables, so it answers from what's actually true for that customer, not a generic FAQ page.
It can act, not just reply
Because the agent lives inside workflows, a reply can also do something (update a record, route an issue, kick off the next step), so the conversation ends in a resolution instead of a ticket.
The outcome
Support that runs 24/7 from real data: closer to a teammate than a chatbot, and without a new hire.
An agent that answers from your data and acts on it, not a macro that stalls.
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