Autonomous AI agents that run SMB operations end-to-end

Autonomous AI agents that run SMB operations end-to-end targets a $120B = 200M small businesses x $600 ACV (global SMB software automation spend) total addressable market with medium saturation and a year-over-year growth rate of 28% CAGR (SMB automation & AI adoption combined).

Key trends driving demand: LLM agentization -- LLMs can execute multi-step tasks and orchestrate APIs, enabling autonomous workflows previously requiring custom engineering.; API proliferation -- Most SaaS vendors expose APIs/webhooks, reducing integration time and allowing agents to act across systems.; SMB productivity squeeze -- Rising labor and SaaS costs push SMBs to invest in automation to maintain margins and survive competition.; Composable SaaS stacks -- SMBs increasingly use best-of-breed SaaS; an orchestration layer that ties them together becomes high-value..