Make.com AI Integration
Some automations are not a simple straight line, they branch depending on what the data actually says, and Make.com's scenario builder is built for exactly that.
Why It Matters
Make.com's router modules split a scenario into different paths based on conditions. When the condition itself needs judgement, such as whether an order looks risky, an AI module produces that judgement first, so the router branches on an actual assessment, not a shallow rule.
With multiple branches running, a failure on one path should be caught and handled without disrupting the others. Each route in the scenario carries its own error handler, so a problem is isolated, logged and routed to a person without stalling the whole automation.
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.
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.
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.
Orders assessed for risk and routed to automatic processing or manual review.
Incoming documents classified and filed to the correct system automatically.
Data synced differently depending on its type or source, handled in one scenario.
Approval routing that varies depending on value, risk or category.
A dedicated path for cases that do not fit the normal process, handled properly.
Data gathered across a run and summarised into a report, with AI drafting the notes.
We identify the normal path and the exceptions your process actually has.
We build AI modules for the points where a branch decision needs judgement.
We build the router and filter modules that direct each case down the right path.
We build error handlers on every route so a failure is caught, not silent.
We test each branch against real cases, then turn the scenario on and monitor it.
Branches, not just the happy path
Failures, per route
Correctly, not on a shallow rule
Manual exceptions handled by hand
Run history per branch
To new branches over time
We build ERP systems, so each branch posts correctly into your actual structure.
We recommend Make.com, n8n or Zapier based on your process, not a fixed preference.
No branch is left without a way to catch and surface a failure.
Routers branch on real assessments, not a shallow keyword check.
We choose the approach that fits your data and hosting rules, with no lock-in.
It is a scenario built in Make.com, a visual automation platform, with an AI module placed between two other modules to handle a judgement task, such as classifying data or extracting fields, that a direct field mapping cannot handle on its own.
Make.com's scenario builder is particularly strong for complex branching logic and handling large data sets within a single run, which suits certain automations better than a simpler linear Zap. We recommend the platform that actually fits your specific scenario's complexity.
Yes, Make.com's scenario builder supports routers and filters that let a single scenario branch into different paths based on the data, which we combine with AI modules where a branch decision needs judgement rather than a fixed rule.
Each route in the scenario is built with error handling, so a failure at any module is caught, logged and routed appropriately rather than stopping the whole scenario or continuing with bad data.
Yes, the scenario connects to your ERP through its API, following the same validation and approval discipline used across our integration work.
A first working scenario usually takes four to six weeks, depending on how many modules and branches the process needs, and how much judgement the AI module has to apply.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at your branching process.
