Service Automation

Service Automation starts from an operational question: how many requests get stuck not because nobody is available, but because nobody knows who owns them? In a hotel the service queue is often where the guest experience breaks.

The platform takes every request from capture to automation outcome: queue, orchestration stages, SLAs, assignments and staffing. The team sees where load accumulates and where automation is actually making a difference.

The KPIs are explicit: open requests, requests at risk within 15 minutes, successful auto-routing rate and teams above target capacity. These are not decorative numbers: each is tied to a request, a person or a shift decision.

The mock-first architecture separates repositories and services, with a Supabase adapter and deterministic data. Surfaces also cover devices and workflows, because service automation is not only software: it is how physical work gets routed.

It is built with Next.js 16, React 19, TypeScript, Tailwind CSS 4, Framer Motion and Supabase. In the seed, 91% of requests are successfully auto-routed and 42 requests are open: the console makes the load visible before it becomes an escalation.