BSS
Order management, charging, billing, activation, and catalogue-related operations.
AI-Powered IT Operations
Bring operational data, monitoring signals, and AI-assisted investigation together to help your teams understand issues, identify potential root causes, and coordinate recovery across your technology environment.
| ID | Domain | Incident | Sev | Investigation | Progress |
|---|---|---|---|---|---|
| SIT-3107 | BSS | Service activation failures, prepaid | P1 | RCA ready 87% | |
| SIT-3109 | OSS | Cell site cluster degraded, North | P2 | Correlating | |
| SIT-3110 | BSS | Rating errors on roaming usage | P2 | Investigating | |
| SIT-3112 | Integration | CRM to order API timeouts | P3 | Awaiting approval | |
| SIT-3113 | Application | Mediation queue backlog | P3 | Remediating | |
| SIT-3115 | Infrastructure | Catalogue DB replica lag | P4 | Resolved |
The challenge
Modern telecom and IT environments generate alerts across applications, networks, infrastructure, databases, and integrations. Understanding how these events relate to one another can be time-consuming and delay incident resolution.
Multiple alerts can obscure the underlying issue and make prioritisation harder.
Critical evidence is spread across monitoring tools, logs, applications, and infrastructure.
Teams spend time correlating events and searching for possible root causes.
Fragmented workflows can slow troubleshooting and coordination between teams.
One operational view
Bring incidents and service information together across telecom BSS, OSS, applications, infrastructure, and integrations. Give operations teams a clearer view of what is happening and where attention is needed.
Order management, charging, billing, activation, and catalogue-related operations.
Network events, service degradation, provisioning, and service assurance.
Applications, infrastructure, databases, APIs, and connected systems.
AI-assisted investigation
Use connected operational evidence to support a structured investigation, from the first signal to a recommended response.
Controlled remediation
Coordinate technical remediation through predefined actions, risk controls, and recovery checks.
Execute approved, low-risk actions when the configured conditions are met.
Require authorised review before higher-risk actions proceed.
Check recovery and escalate when an action fails or the issue persists, where supported.
Built around evidence and accountability:Actions should follow approved policies, and uncertain findings should be escalated rather than treated as confirmed root causes.
Business value
Help your operations teams move towards faster investigation, more consistent workflows, and better visibility across complex environments.
Spend less time manually gathering information.
Focus attention on related, actionable events.
Use repeatable, controlled remediation workflows.
Understand incident progress, evidence, and recovery outcomes.
Explore how AI-assisted investigation and connected operational workflows could support your business.
Book a DemoConcept demo: incidents, data and results shown are simulated.