Fix CRM automation failures by enforcing structured LLM outputs and native connectors

Fix CRM automation failures by enforcing structured LLM outputs and native connectors targets a $45.0B = 25,000,000 CRM-using businesses x $1,800 ACV total addressable market with medium saturation and a year-over-year growth rate of 18% (automation & AI-enabled integrations adoption in sales/CRM stacks).

Key trends driving demand: Function-calling & tools -- models now return structured JSON reliably so apps can consume LLM outputs deterministically.; Composability & APIs -- companies prefer small composable services and managed connectors over monoliths for faster iterations.; Enterprise governance -- buyers demand auditable, reversible AI actions inside core systems like CRMs.; Vectorization of context -- embeddings let automations use long customer histories and knowledge bases to produce relevant, personalized outputs..