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BMC Helix Observability and AIOps

Power your enterprise with holistic visibility and AI-automated operations

Deliver AI-powered self-healing and reliable services enabling fast innovation.


better service health


reduction in MTTR


of outages prevented

Improve Service Reliability

  • Collect and analyze multi-source data (events, metrics, logs, topology, tickets, knowledge articles) in real time for holistic service and infrastructure health.
  • Accurately surface insights from reconciled data, including metrics, events, logs, traces, incidents, changes, and topology.
  • Match observability to your unique environment with full context based on discovery, modeling, and blueprints of your services, assets, and infrastructures.
Discovery and ingestion
How it Works Situations

Reduce Mean Time to Resolution

  • Get to the root cause faster and avoid the blame game with causal AI.
  • Understand why incidents happen with generative AI-powered summaries and visual diagnostics.
  • Accelerate resolution with generative AI-powered intelligent best action recommendations (BAR).
  • Eliminate engineering toil with remediation of resolution. 

Prevent Incidents and Improve Efficiency

  • Analyze and forecast capacity issues with usage and performance trends.
  • Predict capacity bottlenecks by running what-if scenarios.
  • Right-size resources (and cost) using optimization recommendations.
Apply Scenario

Dive into the capabilities that power BMC Helix Observability and AIOps

Lightweight, agentless, and scalable discovery of IT infrastructure, applications, and software components.

Automated real-time service modeling with reconciliation for accuracy and consistency across topology sources, plus service health trend analysis to identify systemic issues.

Open platform built on modern microservices-based containerized architecture with a single codebase spanning both SaaS and on-prem environments. Caters to diverse regulatory requirements and enhances operational safety and efficiency.

Resolve issues faster and reduce mean time to resolution (MTTR). AI/ML-powered situations (event clustering) reduce noise, allowing IT teams to focus on critical tasks.

Synthesize observability data from metrics, events, logs, traces, incidents, changes, and topology. Simplify data access and speed time to value with pre-configured connectors and automated data reconciliation from third-party monitoring and ITSM tools.

Situation fingerprinting learns from past incidents to identify similar situations, expediting resolutions based on historical data. Patented best action recommendation (BAR) automatically identifies resolution steps, accelerating the troubleshooting process for IT teams.

Identify and address potential service outages before they impact operations, helping improve reliability and customer satisfaction. Sync with current automation tools, enabling proactive issue prevention with intelligent automation.

Forecast resource saturation proactively, effectively preventing outages before they occur. Sophisticated What-If business planning and simulation help accurately predict and analyze future business conditions, ensuring better decision-making.

Analyze and forecast capacity issues and resource saturation with usage and performance trends. Predict capacity bottlenecks and business conditions by running what-if scenarios. Optimization recommendations help right-size capacity and reclaim unused resources, optimizing operational efficiency.

Seamless Integrations

A few of our integrations include:

Google Cloud
Microsoft Teams

Use Cases

Exceed SLAs and get comprehensive visibility into performance of services, mainframe applications, and infrastructure (networks, storage, compute) across multi- and hybrid cloud.

Use causal AI to identify issues and perform root cause analysis. Use predictive and generative AI to prevent and/or automatically remediate issues. 

AI-powered continuous integration and deployment helps IT, including DevOps, SRE, and platform engineering teams, to reduce manual effort and calculate risks, ensuring more successful deployments.

Right-size resources and optimize business KPIs with automated discovery and optimization of services.

Director of Operations

What's New

Check out enhancements to AIOps and observability capabilities from the latest release.

What new in AIOps

BMC Helix now supports Oracle Cloud Infrastructure (OCI) in addition to Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and IBM Cloud.

The What-if Scenario Planning tool has a new, updated user interface and can now support simulations of Kubernetes deployments.

BMC Helix Dashboards can now predictively visualize time-series data from within a dashboard panel.

BMC Helix AIOps now supports Kubernetes (K8s) log collection, expanding the scope of observability data collection that can be used in root cause analysis.


We offer bundled pricing to fit wherever you are on your AIOps journey. 


Enjoy all observability and AIOps functions, service discovery and modeling, and basic resource utilization viewing. Includes features such as: 

  • Persona-based service health dashboards
  • AI event correlation and root cause isolation
  • Topology reconciliation with 3rd party sources
Learn more


Enjoy all capabilities included in Standard along with:

  • CMDB integration
  • Workload right-sizing to balance cost and risk
  • What-if scenario planning
Learn more