Agentic AI capabilities in BMC Helix Operations Management

BMC Helix Operations Management connects with BMC HelixGPT to provide AI capabilities that help enterprises optimise data collection to resolve problems faster.

The Adaptive Data Collector helps enterprises shift from an always-on data collection mindset to an always-intelligent, context-aware telemetry model. The shift in the telemetry collection model addresses the challenges of cost and visibility leaks.

Adaptive or context-aware data collection rethinks how observability operates in dynamic and fast-paced environments. With adaptive data collection, you can achieve the following goals:

• Prevent cost leaks by eliminating waste during the steady state
• Capture what matters during change and risk
• Reduce the mean time to resolve (MTTR)
• Treat observability as a business-aware capability rather than a passive data list

With Adaptive Data Collector, BMC Helix Operations Management adopts a precision-on-demand telemetry that has the following key features:

• Resting state: This state triggers low-frequency polling to establish baseline health and trends, minimizing data volume and cost.
• Active state: This state automatically enables high-frequency telemetry when a trigger occurs. Examples: deployment events, latency deviations, or alerts
• Self-optimizing pipeline: This feature dynamically scales data collection up or down without manual intervention, ensuring that observability aligns with operational reality.

AI agent in BMC Helix Operations Management

Agent name	Type	Primary user role	Capabilities	Reference
Adaptive Data Collector	Sub-agent to the Ops Swarmer supervisor agent	Administrators	Connects to the Ops Swarmer in Microsoft Teams so that administrators can easily adapt data collection to their infrastructure demands. Once triggered, Adaptive Data Collector can analyze the problem and use precise metrics from the knowledge module to collect data.	Investigating a sudden performance degradation by using the Adaptive Data Collector