Skip to Content

Case Study / Partner

Fault-to-rectification workflow for an O&M provider

An operations and maintenance company uses Autonomy Power as a value-add across approximately 35 customer sites — faults detected, tickets raised, and customer approval captured before anyone is dispatched.

Snapshot

Monitoring as a value-add

The platform detects faults, raises tickets with the O&M team, and escalates to the end customer for approval — so rectification works proceed with the customer's sign-off already in hand.

Highlights

~35 sites under management
Automated fault detection and ticketing
Customer approval built in

The challenge

Context and operating problem

For an O&M provider, monitoring is traditionally a cost: someone has to watch the sites, triage the alarms, chase the customer for approval, and document enough evidence to justify every callout. Done manually, it doesn't scale — and every undetected fault is lost generation the customer eventually notices for the wrong reasons.

The solution

How Autonomy Power helped

Autonomy Power sits across the provider's customer sites as the detection and workflow layer. When the platform identifies a fault, it raises a ticket with the O&M team automatically, with the supporting data attached. The ticket is then escalated to the end customer for approval, so the decision to proceed — and the evidence behind it — is on record before anyone is dispatched. The O&M team carries out rectification works knowing the job is authorised, documented and visible to everyone involved.

The outcome

Operational and commercial result

Faults move from detection to authorised rectification through one structured workflow. Across roughly 35 sites, the provider runs a single fault-to-rectification process instead of 35 separate monitoring arrangements. The O&M provider offers its customers a credible monitoring and response capability without building one, customers approve works on evidence rather than trust, and site visits happen because something is confirmed broken — not to find out whether it is.

Next step

Use the proof, then choose the right path

Case studies are here to reduce uncertainty. If the fit is clear, head into signup. If your environment is more complex, contact us and we can scope the right approach.