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Written by Max Zeshut
Founder at Agentmelt · Last updated Sep 9, 2026
Artificially generated data that mimics real-world patterns without containing actual user or business information. Teams use synthetic data to train and test AI agents when real data is sensitive (healthcare, finance, legal) or scarce. Synthetic data enables agent development without privacy risks—useful for testing support deflection flows, sales sequences, and financial categorization models.
See it as a workflow
Prior Authorization WorkflowTrigger, steps, n8n nodes, guardrails and an importable template — plus what it costs to have it built.
Or skip the build
Workflows from $197/month, custom agents from $2,000.