There’s a silent problem when you build AI Agents with many workflows:
The agent may understand similar words, but not necessarily the right intentions.
Simple example:
“I want to open a bank account”
could end up activating something like:
“Problems opening my app”
Why? Because many traditional routers compare the user’s message against the workflow name and choose the one that is most semantically similar. That is fast, but when you start scaling real agents in banking, retail, telco, or WhatsApp support, false positives, unnecessary handoffs, and routing loops start to appear.
At Brain Studio, we’re changing that logic with AI Routing.
Now each workflow does not only have a name: it also has a detailed description. And when the organization decides to activate AI Routing, an AI model evaluates the full context of the conversation and decides which workflow to activate based on the user’s real intent, not just a superficial match of words.
This is aligned with the internal definition of the feature: AI Routing allows a model to evaluate the full context of the conversation and the descriptions of each workflow to activate the right flow from the very first interaction.
For builders, this changes a key part of the work:
It’s no longer just about creating workflows. It’s about describing them well.
A good description works like a routing instruction. It tells the agent:
“This workflow should be activated when the user has this intent, comes with this context, or needs to solve this type of problem.”
A generic description, on the other hand, leaves the router without enough criteria.
The flow is simple:
The builder configures a name and description for each workflow.
A user message comes in.
The router evaluates the conversation context against the available descriptions.
The model selects the workflow that best matches the user’s real intent.
This is especially useful when you have multiple workflows with similar names or purposes, as often happens in banking, retail, or telco, or when you deploy AI Agents on WhatsApp and need them to scale, transfer, or continue conversations without friction.
The important idea for any builder is this:
AI Routing does not replace good configuration. The power of the router depends directly on the quality of the descriptions you write.
The better you describe when a workflow should be activated, the better the agent routes.
This makes it possible to scale agents with more workflows without degrading the experience, because the model is not looking for similar words: it is reasoning about meaning, intent, and context.
AI Routing turns the builder’s configuration into an active part of the agent’s intelligence.
Documentation link: https://docs.jelou.ai/guides/getting-started/ai-routing