HCL BigFix Runbook AI
Simplify IT complexity with AI-powered runbook automation
About HCL BigFix Runbook AI
HCL BigFix Runbook AI is an intelligent IT automation product that leverages Machine Learning (ML) and Natural Language Processing (NLP) to automate the enterprise technology operation lifecycle.
Artificial Intelligence-driven resolution
Leverage NLP to understand and analyze the context of the issue, recommend the most relevant solution from the repository and trigger the solution automatically for remediation.
Intelligent identification of automation candidates
Intelligently analyze ticket data from leading IT Service Management (ITSM) platforms to identify potential automation candidates in minutes.
Largest runbook repository
Over 350 reusable and customizable runbooks are included, along with the ability to quickly and easily add your own customized runbooks.
Unified knowledge management & assistance
Runbook AI aggregates knowledge from multiple sources, internal and external, to build a unified knowledge base, proactively providing users with current information context for the issue at hand.
Real time updates and intuitive dashboard
Track the actions performed by automations on target endpoints on a real-time basis. Leverage provided metrics for auditing and governance and for future knowledge recommendation.
Enterprise-grade security
Using data encryption and token-based authentication for integrations, the security of your closed-loop automations is assured.
Benefits
Rapid time-to-value
Speed deployment of Runbook AI using a repository of over 350+ ready-to-use configurable runbooks and the ability to create new workflows on the fly to align with specific enterprise requirements.
Automation diversity
Automate resolution of incidents, changes, events, service requests, tasks, and more to reduce manual effort by 30%.
Mitigate risks
Avoid operational risks and ensure compliance by avoiding critical outages and reducing mean time to resolution by up to 85%.
Drive higher efficiency
Automate repetitive tasks so IT teams can reduce manual effort by 30-60% and speed incident and problem resolution time.
Zero-touch automation
Self-service driven identification of automation candidates to achieve zero-touch automation in first ~4 months of implementation.
Enhanced customer experience
Leverage ML and NLP to swiftly understand the context and recommend solutions, leading to faster issue resolution, reduced end-user wait time and improved employee satisfaction with IT.
