Enterprise Use Cases

The automation problems that actually matter in enterprise IT are the ones that sit at the intersection of multiple systems, unstructured data, unreliable third-party interfaces, and AI inference that needs production-grade security. These are the projects that traditional RPA handles on the happy path and fails everywhere else, and that custom integration efforts take months to build and break on the first upstream change.

Triggerfish approaches these problems by combining deterministic workflow orchestration with LLM-based reasoning at decision points, governed by classification-aware security enforcement that the AI layer cannot bypass. The result is automation that adapts when the world changes, without sacrificing the audit trails and data controls that production systems require.

Cross-System Orchestration covers workflows that span a dozen or more systems with contextual judgment calls at every step — procure-to-pay, onboarding, incident response — without the brittleness that kills rigid pipeline automation. Unstructured Data Ingestion addresses invoice processing, document intake, and email parsing that doesn't break when input formats change, replacing positional field extraction with LLM-based document understanding. Third-Party Portal Automation handles the vendor portals, government sites, and payer systems that have no APIs, using visual browser navigation that adapts when the UI redesigns instead of breaking silently. AI Inference in Production Workflows bridges the gap between AI demos and durable production workflows, with security enforcement, audit trails, and workflow orchestration built into the platform rather than bolted on per-project.