Ticketing, queues & SLA
How this is scored
The engine: how work is routed, prioritised, escalated and measured — and whether an agent can find the ticket they need among ten thousand.
0 — A shared mailbox with labels; no ownership, no status model, no history beyond the thread.
3 — Tickets with assignment and open/closed status, but routing is manual, there are no SLA timers and search covers subject lines only.
5 — Queues with rules-based routing, priorities, a working status model, SLA timers with breach warnings, and full-text search across ticket bodies.
8 — Business-hours-aware SLA policies per queue or customer, escalation chains, macros and triggers, merge and split, and reporting on first-response and resolution time by agent and queue.
10 — The workload is managed rather than merely tracked: capacity-aware assignment, SLA per contract with reporting an account manager could show a customer, audit of every status change, and search that finds the ticket from a half-remembered phrase.
The Data Protection Officer
AI triage classifies intent, predicts priority and routes on skills, current workload and language with a VIP fast-track, no-code automation covers routing, assignment and escalation, and SLA health plus first-contact resolution, resolution time and agent performance are tracked in real time. We found no public information on business-hours-aware SLA policies per queue or customer, merge and split, or search across ticket bodies, so the engine is described well but not fully evidenced. 1 3