From data to resolution: Agentic AI and the network
From Data to Resolution: Agentic AI and the Network showcases how
communications service providers can move beyond traditional
monitoring and manual fault investigation to a new era of intelligent,
knowledge-driven operations. As networks become increasingly complex,
resolving issues quickly and accurately remains heavily dependent on
specialist expertise, resulting in slower response times and
inconsistent outcomes. This Catalyst addresses that challenge by
transforming operational data into actionable intelligence, enabling
faster root cause analysis (RCA), improved service resilience, and
more consistent customer experiences.
At the core of the solution is an innovative knowledge plane that
continuously captures alarms, topology data, service intent, incident
records, and operational expertise into a semantic knowledge graph. By
connecting previously fragmented data sources across network and IT
domains, the platform creates a shared source of operational
intelligence. Agentic AI-powered RCA assistants can then reason over
this knowledge in near real time, identifying causal relationships,
assessing service impact, and recommending the most effective
resolution actions based on historical experience and current network
conditions.
What makes the Catalyst truly innovative is its combination of
ontology-driven reasoning, knowledge management, and agentic AI
orchestration. Instead of analysing faults in isolation, the system
leverages reusable organisational knowledge, known remediation
playbooks, and contextual network intelligence to accelerate diagnosis
and recovery. The result is an explainable and trustworthy approach to
automation, where engineers can understand the reasoning behind
recommendations while progressively increasing the proportion of
faults that can be resolved with minimal human intervention.
The business value is substantial. By reducing Mean Time to Detect
(MTTD) and Mean Time to Repair (MTTR), CSPs can minimise service
disruption, protect revenue, and reduce the operational costs
associated with major incidents. Improved RCA accuracy lowers the risk
of repeat faults and misdiagnosis, while cross-domain visibility
removes silos between RAN, core, transport, OSS/BSS, and IT
environments. Aligned with TM Forum standards and designed to remain
vendor-agnostic, the Catalyst provides a practical pathway from
data-driven network operations to autonomous, scalable, and
knowledge-powered fault resolution.
