Galantis AI is an intelligent layer built directly into the automation flow builder. It helps merchants design automation flows faster, catch configuration errors before activation, and surface optimization opportunities that would otherwise require expert knowledge of WhatsApp automation best practices. It is not a separate product or a chatbot interface. Galantis AI operates inside the visual flow canvas — suggesting, validating, and flagging as you build, without requiring any additional setup or configuration beyond using the flow builder itself.Documentation Index
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What Galantis AI does
Galantis AI contributes to three distinct stages of automation development: Building — When you describe a goal or begin placing nodes, Galantis AI suggests appropriate triggers, conditions, and action sequences based on what you are trying to accomplish. This is most useful for merchants who are new to automation flows or who are building a flow type they have not configured before. Validating — Before a flow can be activated, Galantis AI runs structural and compliance checks against the assembled flow. It identifies incomplete configurations, missing connections, unapproved templates, and logic gaps that would cause the flow to malfunction or fail to activate. Validation is not optional — it gates activation. Optimizing — Beyond blocking errors, Galantis AI surfaces advisory suggestions for flows that are technically valid but could perform better. A missing delay in an abandonment recovery flow, a condition branch that sends the same template to both YES and NO paths, or a frequency cap that seems too permissive for the trigger type — these are the kinds of recommendations Galantis AI surfaces.Guides in this section
AI Flow Builder
How Galantis AI assists during flow creation — suggestions, node types, and the LarAgent framework.
Flow Validation
The validation checks Galantis AI runs before activation — what is evaluated and how to resolve issues.