Formula-matched SLA policies, business-hours milestones, warning and breach states, pause/resume, escalation — with a full SLA audit trail.
Push or accept/decline routing across queues with skills, capacity weights, per-channel limits and presence — cases, calls or any other work item, one engine.
Live workloads per agent, transfers and reassignment, CSAT captured on the case.
Every row ships today and traces to a capability described on this page.
| Capability | xMatix Support |
|---|---|
| SLA policies with milestone tracking | Native |
| Business-hours and holiday-aware SLA clocks | Native |
| Automatic escalation and queue routing | Native |
| Skills- and presence-based distribution | Native |
| Macros and knowledge articles | Native |
| Side conversations and case teams | Native |
| Major-incident linking | Native |
| Duplicate case merge | Native |
| CSAT capture at resolution | Native |
| Supervisor console with live SLA risk | Native |
Business hours. SLA timers respect your working hours and holiday calendar, so nobody breaches at 3 a.m. on a Sunday. Response and resolution targets track on every case milestone by milestone, and the aim is prevention rather than reporting: cases that idle escalate automatically, and the supervisor console shows SLA risk live — the intervention happens before the breach, not in next week's review.
By rule, on arrival. Cases route to the right queue the moment they land and distribute by queue, skill and who is actually online — not by whoever is fastest to cherry-pick. Stuck cases raise their own hand: anything that idles escalates automatically, so silence never hides a problem. Hard cases assemble a case team with shared visibility instead of a forwarding chain.
Yes — related cases link to a master incident, so one outage reported by forty callers is worked once. Resolve the master and every linked customer hears back automatically. The same discipline handles the smaller version of the problem: duplicate cases from the same customer merge with their history intact, so effort stops splitting across copies of one issue.
Yes — Support is one application on the platform's single data model, so the agent works the case against the same account record that carries the customer's orders, invoices and field visits. Context does not have to be requested from another team, and what the agent resolves is visible to everyone else who touches the relationship.
Yes — satisfaction captures at resolution, tied to the specific case and the agent who worked it, so coaching gets specific instead of general. Alongside CSAT, knowledge articles attach to cases and power self-service, which means the same question stops costing an agent each time — the deflected case is the cheapest satisfaction score there is.
The operating reality of an Indian support desk: SLA clocks that respect business hours and holiday calendars rather than raw elapsed time, queues that route by skill and load, knowledge that powers self-service in the customer's language, and the case sitting on the same record as the customer's orders, invoices and field visits — so "where is my engineer?" is answered from the record, not from a colleague.