Visual no-code builders for branching AI agent workflows (solve decision-tree coding pain)

Visual no-code builders for branching AI agent workflows (solve decision-tree coding pain) targets a $40.0B = 20M global SMBs & enterprises x $2,000/year average spend on developer + workflow automation tooling total addressable market with medium saturation and a year-over-year growth rate of 28% (workflow automation + AI developer tooling convergence).

Key trends driving demand: Agentization of tasks -- companies want autonomous agents to handle multi-step workflows, creating demand for orchestration layers.; No-code/low-code adoption -- product and ops teams push to reduce developer handoffs and iterate visually.; LLM commoditization & multimodal APIs -- cheaper inference and standardized endpoints make runtime orchestration economical.; Observability demand -- enterprises require traceability and testing tools for agent decisions, creating a category for developer tooling..