# AI Support Engineer for Software Teams

Source: https://maito.app/homepage

Maito investigates customer issues, gathers evidence, and prepares fixes for your team to review. Work together in Slack or through your AI assistant.

Maito investigates customer issues, gathers evidence, explains what went wrong, and prepares fixes for your team to review. Work together in Slack or through the AI assistant you already use.

[Get started](https://maito.app/login?returnTo=%2F)[Book a demo](mailto:support@maito.app?subject=Maito%20demo)

Use your own AI provider. $149/month per workspace.

Illustrative workflow. Findings and fixes depend on your project and connected tools.

## Support the software you’ve already shipped.

Give Maito the questions, issues, and maintenance tasks that keep pulling your team away from building. It researches your code and connected tools, gathers evidence, and works with your team to find answers, write fixes, and review changes.

### Answer product questions

Explain how something works using the code, documentation, and previous decisions.

### Investigate customer issues

Check logs, research dependencies, reproduce the problem, and explain the cause with evidence.

### Prepare and review fixes

Write or review code, run relevant checks, and bring back a pull request for your team.

### Handle recurring support work

Check errors, follow up on unresolved issues, and identify problems that keep coming back.

## Work together on the same issue.

Start an investigation in Slack or through your AI assistant. Your teammates can add context, question the findings, and review the fix. The evidence, decisions, and work stay together, so whoever picks it up next can continue.

## Your project’s context, ready for the next issue.

Maito works with your code, documentation, connected tools, and previous support work. Findings, team decisions, and completed fixes stay with the project, so the next investigation builds on what your team already knows.

### Connected sources

Maito uses your project’s code, documentation, logs, and tickets to find the context behind each issue.

### Previous investigations

Findings and evidence from earlier issues stay available, so the next investigation can build on work already done.

### Team decisions

Your team’s decisions carry into future work, with the original conversation available for context.

### Completed fixes

The resolution, checks, and pull request stay with the issue, so Maito can refer to what changed and why.

## Support work that keeps coming back.

Set up a Loop to check for errors, investigate incoming issues, or follow up on unresolved problems. Your agent runs on a schedule or when something happens, and brings findings or proposed fixes back to your team.

### Investigate incoming tickets

Research customer reports across your code, logs, and previous issues. Bring back findings and evidence for your team.

### Check production errors

Investigate new failures, trace the cause, and prepare a fix for your team to review.

### Debug failed integrations

Trace failed API calls, webhooks, and syncs. Check what changed and explain where the connection broke.

### Investigate access problems

Check why a customer cannot sign in or use a feature. Gather the relevant account, permission, and configuration details.

### Investigate billing mismatches

Trace unexpected charges, subscription changes, or missing access after payment. Bring back what happened and a proposed resolution.

### Find recurring issues

Review support reports for repeated problems. Connect related cases and suggest fixes to the underlying cause.

### Follow up on open issues

Check engineering progress, flag stalled issues, and prepare customer updates when there is news or a resolution.

### Keep support docs current

Turn resolved issues into useful answers. Find missing or outdated guidance and draft updates for review.

## How your agent gets work done.

Your agent runs on a dedicated computer, uses separate sandboxes for coding tasks, and gets credentials through Vault. Here’s how the pieces work.

### A dedicated computer for your team

Your agent runs on its own cloud computer, with your project context, connections, and work history. It keeps working when you close Slack or your AI assistant.

### Separate sandboxes for coding tasks

Each independent cloud coding task gets its own computer, branch, and checkout. Tasks can run alongside each other without changing the same working files.

### Credentials belong in Vault

Store secrets encrypted and reference them by name. Supply the credentials and environment variables a task needs without pasting them into conversations.

## Put your AI support engineer to work.

Keep support moving while your team keeps building.

[Get started](https://maito.app/login?returnTo=%2F)[Book a demo](mailto:support@maito.app?subject=Maito%20demo)