What Is Inside a Make.com AI Scenario
A scenario with real branches needs more than a router, it needs the judgement feeding it and the error handling backing every path. Here is how each part is built.
From a branching process to a resilient scenario
The router branches on a real assessment, not a shallow check
An AI module runs before the router wherever the branching decision needs judgement, such as assessing risk or classifying content, and its output feeds directly into the router's condition. This means the scenario branches on something meaningful rather than a simple keyword or threshold.
- AI assessment feeds the router's branching condition.
- Judgement-based branching, not a shallow rule.
- Built and tested against your own real examples.
Every path has its own way to catch a failure
Rather than one generic error handler for the whole scenario, each route carries error handling suited to what that branch actually does, so a failure in the automatic-processing path is handled differently from one in the manual-review path, and neither stalls the other.
- Error handling tailored to each branch's own logic.
- Failures isolated to their branch, not the whole scenario.
- Context-appropriate routing when something goes wrong.
Summarising a whole run, not just one record
For scenarios that process a batch of items, results can be aggregated across the run and summarised by AI into a short report, so a scheduled batch job ends with a useful summary of what happened rather than a silent completion nobody reviews.
- Results aggregated across an entire scenario run.
- AI-drafted summary of what happened in the batch.
- Useful for scheduled or high-volume batch processes.
Everything the Make.com scenario includes
Full execution history
Every scenario run logged with its branch path, inputs and outcomes.
ERP-specific modules
Custom modules built to read and write your ERP's data structure correctly.
Scenario health alerts
Notification when a scenario's error rate rises above an agreed threshold.
Manual review branches
A dedicated path that gathers cases needing a person, with full context.
Reusable sub-scenarios
Common logic packaged once and called from multiple scenarios.
Model-agnostic build
Built so the underlying AI approach can be upgraded without a rebuild.
Map Your Branching Process With Us
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