Agent Approval Workflow Middleware

A tool that embeds human approval checkpoints into AI agent workflows, letting teams maintain control over autonomous agents before they execute critical actions. Solves the problem of agents making unauthorized decisions in business-critical processes.

The push toward agentic AI systems in 2024–2025 has outpaced the tooling for governing them — enterprises are deploying autonomous agents into workflows while compliance and risk teams are quietly panicking about auditability and control. No clear incumbent owns this space; LangChain and similar orchestration frameworks gesture at human-in-the-loop primitives but don't treat approval workflows as a first-class product. The $5k–20k/mo revenue band is plausible given a dev-tool-to-enterprise sale where even a handful of mid-market customers paying $1–2k/month gets you there, though expansion revenue depends on adoption scaling with agent usage rather than seat count. The biggest risk is that the major agent platforms — OpenAI, Anthropic, or the hyperscalers — bake approval primitives directly into their orchestration layers, collapsing the wedge before a standalone product can establish switching costs.