AI agents for Make scenarios
A Monmo agent looks after your Make account like the operations engineer who built half your scenarios. It reads the execution history to find out why a run failed, checks every morning for scenarios that have stopped, explains inherited scenarios module by module, adds error handling and drafts new scenarios for you to approve. Running, switching on or editing a scenario always asks first.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Make
Find out why a scenario failed
It opens the failed run in the execution history, finds the module that errored, reads the bundle it received and tells you the cause in plain words, with the fix it proposes.
AskThe Shopify to Xero scenario failed three times last night. Tell me what broke and how to fix it.
Check scenario health every morning
At 8 each weekday it lists scenarios that errored, stopped or have incomplete executions waiting, ranks them by what they affect and posts a short summary in Slack.
AskEvery weekday at 8, list Make scenarios with errors or incomplete executions and post them in #ops.
Explain an inherited scenario
For a scenario someone else built, it walks through each module, router and filter, writes what happens to the data at each step and saves the explanation in Notion for the next person.
AskDocument the Lead routing scenario module by module in Notion, including every filter and router path.
Draft a new scenario
Describe the flow you want. It proposes the trigger, modules, filters and error handlers, builds the scenario once you approve and leaves it switched off until you say it can run.
AskDraft a scenario that copies new Typeform responses into Airtable and alerts Slack for enterprise leads.
Add error handling
It finds scenarios with no error handlers on modules that call other apps, and proposes the right route for each, such as a retry or a Break handler with an alert to Slack.
AskWhich of our scenarios have no error handling on the HubSpot modules? Propose handlers for each.
Keep an eye on usage
Each month it ranks scenarios by the operations or credits they used, finds ones polling far more often than they need, and proposes schedule changes with the expected saving in usage.
AskWhich five scenarios used the most operations last month, and which could run less often?
Rerun incomplete executions after a fix
Once a fix is in, it lists the stored incomplete executions it would resume and what each will do in other apps. Rerunning them waits for your approval, because they act for real.
AskNow that the Xero token is fixed, list the incomplete executions to resume and what each will create.
How it connects
- 1You connect your own Make account once, with your sign-in or an API token with the scopes you choose. Make accounts live in a region, so the connection uses your account's zone, and your organisation and team roles decide which scenarios the agent sees.
- 2You choose which agents may use Make. An operations or engineering agent looks after scenarios; a sales or writing agent rarely needs to touch them.
- 3Reading scenarios, blueprints and execution history and drafting changes need no approval. Running, switching on or off, editing, creating or deleting a scenario, and resuming incomplete executions ask first.
More in Developer and IT
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent fix a failed Make scenario?
Usually it can trace the cause and have a fix ready. A Monmo AI agent reads the failed run in the execution history, identifies the module and the data that broke it, and proposes a change with the reason. It applies the fix through the Make connection, or in its own browser when the connection does not cover something, once you allow it.
Should an automation live in Make or with an agent?
Often both. Make suits fixed, repeated steps that run the same way every time. An agent suits work that needs reading, judgement or writing, such as qualifying a lead or drafting a reply. Many teams keep the fixed flows in Make and let the agent look after them and handle the judgement around them.
Will the agent run or switch on Make scenarios without asking?
No. Running a scenario, switching it on or off, editing it and resuming stored executions all act in your other apps, so each shows a card first. The card names the scenario, what will run and which apps it touches. New scenarios stay switched off until you turn them on or allow the agent to.
Can the agent see the data passing through my scenarios?
It sees what your Make account sees, which includes the bundles stored in execution history. Choose the token's scopes and the team the account belongs to with that in mind. The agent uses that data to diagnose a run and quotes only what it needs in its explanation.