AI for incident management.
Technician dispatch for home repair and field service. Facilities management with failure detection and technician scheduling. Response coordination across distributed assets. The pattern is the same in each case: heavy telemetry coming in from the field, an operational decision to make, and a dispatch or response loop that determines whether the right person is in the right place at the right time. The software that runs this is operationally complex and integration-heavy, and the consequences when it breaks are real.
The systems keep evolving. New telemetry sources, new equipment, new SLAs, new geographies. The platform has to keep absorbing that while continuing to dispatch reliably.
What the work looks like
- Stabilizing incident management platforms under heavy telemetry load. Mobile-side and server-side reliability, observability, deployment discipline.
- Intelligent dispatch and routing. Surfacing the right incident to the right technician with the right context, rather than relying on rules-based triage that misses nuance.
- Failure detection in facilities and distributed asset environments. Surfacing what's actually going wrong in operational terms and routing it to action.
- Integration with existing CMMS, work-order, and dispatch systems. We work with what's there rather than asking the customer to replace it.
- Ongoing operation of the system as the business and the field environment change. New telemetry sources, new SLAs, new equipment, new geographies, accumulated context that makes the system more useful over time.
Why our approach fits incident management
The systems that run incident management are usually a few years old, central to operations, and hard to change without breaking things. We stabilize and extend rather than replace. The data is messy in operational ways: telemetry gaps, late updates, partial location data, sensor failures. You need to read it the way an operator does. The consequences are real: a bad dispatch decision is a missed SLA, a wrong technician, an unhappy customer. The software that runs this has to actually run, and to keep running as the field environment changes.
Relevant engagement: the incident management system engagement.
Email contact@swng.ai.