Field service · Production

NAVSEA improves mission readiness with OpenText Content Management for Engineering

The problem

NAVSEA needed accurate technical documentation available to the right technicians at the right time, but data was spread across multiple organizational and technological silos, making maintenance without delay or error difficult to guarantee.

Workflow diagram · grounded in source
1
Ship enters maintenance
Trigger
When ships and submarines come in for maintenance, it is vital to complete repairs or upgrades as rapidly as possible while assuring the highest levels of quality.
▾ source quote
“When ships and submarines come in for maintenance, it is vital to complete repairs or upgrades as rapidly as possible while assuring the highest levels of quality”
2
Unified records surfaced to engineers
Integration
OpenText Content Management bridges information silos so accurate, relevant records are at engineers' fingertips when ships and submarines come in for maintenance.
▾ source quote
“With OpenText Content Management for Engineering bridging hundreds of information silos, NAVSEA can ensure that accurate, relevant records are at engineers' fingertips when ships and submarines come in for maintenance”
3
Secure offline document delivery
Output
Secure offline document storage delivers critical technical information even when there is no connectivity.
▾ source quote
“With the secure offline document storage in the OpenText solution, we can deliver that critical information even when there's no connectivity”
4
AI surfaces, summarizes, suggests
Ai action
AI tools enable Navy personnel to surface all kinds of information regardless of format, instantly summarize the information, and suggest next steps.
▾ source quote
“enable Navy personnel to surface all kinds of information regardless of format, instantly summarize the information, and suggest next steps”
5
Predictive fault diagnosis
Ai action
The longer-term goal is to introduce predictive modeling that uses historical information to diagnose potential faults earlier.
▾ source quote
“The longer-term goal is to introduce predictive modeling that uses historical information to diagnose potential faults earlier”
Reported outcome

OpenText Content Management bridged information silos, ensuring accurate records are at engineers' fingertips during maintenance and enabling secure offline document delivery even when there is no connectivity, while optimizing processes without degrading existing systems.

Reported metrics
Asset downtimeminimize asset downtime
Processes and resultsoptimize the processes and results
Reported stack
OpenText Content Management for EngineeringOpenText Content AviatorOpenText Knowledge Discovery
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Source
https://www.opentext.com/customers/united-states-navy
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Frequently asked questions

What did this team achieve with this AI workflow?

OpenText Content Management bridged information silos, ensuring accurate records are at engineers' fingertips during maintenance and enabling secure offline document delivery even when there is no connectivity, while…

What tools did this team use?

OpenText Content Management for Engineering, OpenText Content Aviator, OpenText Knowledge Discovery.

What results were reported?

Asset downtime: minimize asset downtime; Processes and results: optimize the processes and results (source-reported, not independently verified).

How is this field service AI workflow structured?

Ship enters maintenance → Unified records surfaced to engineers → Secure offline document delivery → AI surfaces, summarizes, suggests → Predictive fault diagnosis.

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