An AI support engineer for software teams.
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.
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.
@Maito What happens when a customer cancels their subscription?
They keep access until the billing period ends. Cancellation stops the next renewal, not their current access.
Answer product questions
Explain how something works using the code, documentation, and previous decisions.
@Maito Acme’s exports are failing. We shipped their app six months ago. Can you investigate?
The export worker times out on large files. I reproduced it and traced the failure to the upload step.
Investigate customer issues
Check logs, research dependencies, reproduce the problem, and explain the cause with evidence.
@Maito Review the retry fix and add a check for successful payments.
I found a missing case and updated the fix. A successful payment followed by a retry is now covered.
Prepare and review fixes
Write or review code, run relevant checks, and bring back a pull request for your team.
@Maito Check recurring errors each morning and follow up on open issues.
This morning’s check is complete. Yesterday’s fix is holding. One export issue still needs Leo’s review.
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.
@Maito This customer’s export keeps failing. Can you investigate?
I checked the logs and reproduced the failure with a large file. The upload step hits the worker’s timeout.
Keep the existing export format. Fix the timeout and cover large files in the checks.
Updated the upload step and added a regression check for large files. The pull request is ready for your review.
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.
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.
Put your AI support engineer to work.
Keep support moving while your team keeps building.