PRIVATE AI FOR TELECOM
Private AI for the teams behind your network.
Search runbooks, summarize incidents and review service documents. Run private AI on infrastructure you control.
Use cases
Put network knowledge to work.
Use private models in network and support applications. Application integration is separate; your team approves network changes and customer actions.
Incident investigation
Search runbooks and summarize incident records for network engineers.
Service support
Draft responses from your service documentation for support staff to review.
Revenue investigations
Organize dispute records and supporting documents for revenue-assurance teams.
Example workflow
Investigate a network incident.
Bring alarms, incident logs and runbooks together to support an engineer’s investigation.
Collect the signals
Bring network alarms, incident logs and runbooks into the investigation.
Find relevant context
Use AI to summarize related incidents and suggest checks from runbooks.
Engineer review
An engineer verifies the findings before making network changes.
Where it runs
Run AI where your network operates.
Use compatible servers, your cloud infrastructure or leased Edge systems. Agree subscriber-data access, site connections and support responsibilities. Air-gapped sites are managed locally.
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