Network Maintenance Resolution

A Kubrick Atlas solution, built on Databricks, to increase asset uptime and reduce maintenance costs.

Cost-effective reliability that stands up to regulator scrutiny

Network Maintenance Resolution helps utilities cut outage risk, direct scarce field capacity to the highest-impact work, and give boards clear evidence behind every operational and regulatory decision.

Fault response is still too manual

Control-room engineers and field crews manually scan through information, which makes triage slow and fault handling reactive.

Teams lose time piecing together what happened, which assets are affected and what action is most likely to restore service.

Every delay increases customer minutes lost, repair cost, and regulatory exposure.

A new intelligence layer for maintenance resolution

The platform turns live fault signals into repair actions that engineers and field crews can use immediately.

01
Spot the fault
Show affected customers, assets, service areas and network dependencies, so teams can focus first on the incidents carrying the greatest risk.
02
Understand the impact
Show affected customers, assets, service areas and network dependencies, so teams can focus first on the incidents carrying the greatest risk.
03
Find the likely cause
Analyze the fault in the context of asset history, weather conditions and engineering guidance to produce an evidence-based assessment.
04
Optimize resolution
Recommend repair and crew actions, then capture the decision trail for operational review and regulatory defense.

Cross-sector use cases

Built for asset-intensive operations where equipment failure affects service, safety, customer experience, or production uptime.

Manufacturing line uptime

Connect machine telemetry, maintenance logs and OEM manuals to protect production schedules.

Public sector infrastructure

Prioritise work across roads, bridges, lighting, drainage and buildings using condition, inspection and impact data.

Fleet maintenance resolution

Use telematics, driver reports, defect history and parts data to improve first-time fix rates.

Distribution center reliability

Spot patterns across conveyors, dock doors, forklifts and automation assets to reduce avoidable downtime.

Previous client results

40%

increase in productivity

50%

first-time fix improvement

Case study

Resolve network faults faster and earlier, with evidence