AI for SaaS companies

56 workflows. From support and success to engineering, QA and product. Work that touches your code, your customers and your releases.

$149/month per workspace · Unlimited people · AI usage billed by your provider

50%
of developers lose 10 or more hours a week to organizational inefficiencies. Atlassian, State of Developer Experience 2025

All software workflows.

56 workflows

See how engineering teams use Maito

Where AI helps a software company.

Software companies lose hours to work that sits between support, product and code. Maito takes the first pass on it. It can reproduce a bug from a customer report, turn a ticket into a tested pull request, investigate an error spike from your logs and error tracker, and write the changelog or release notes customers will read. It answers "where is this in the code?" for anyone who asks in Slack, and drafts replies to tickets you've solved before from your support desk.

Engineers still decide what ships. Maito opens pull requests and never merges them, and a person reviews every change. Support staff read a drafted reply before it goes out, and the people who own the product choose which customer feedback becomes roadmap. Incident calls and postmortem conclusions stay with whoever ran the response.

Start with one question your team asks every week, such as "where is this in the code?". Connect your repository, mention @Maito in a Slack thread and ask it. Once the answers hold up, add your issue tracker and ask it to turn a small ticket into a pull request. For anything recurring, like the weekly engineering digest, set it up as a Loop.

Questions.

Put your AI teammate to work.

Set it up in minutes. Start with one workflow, and let it earn the next one.