Agentic IT Operations for ITOps Owners

BigPanda utilizes real-time signals and AI agents to enable L1 teams to automate incident detection, triage, and resolution.

Automate L1 workflows

Automate manual L1 workflows to eliminate repetitive, manual tasks and reduce unnecessary escalations.

 

Proactive IT incident detection

Filter out alert noise and automatically correlate real-time signals to provide responders with a centralized view of potential incidents, enabling them to act before these incidents impact your business.

BigPanda AI-powered event management ingests, normalizes, filters, and correlates alerts from observability and monitoring tools to provide a centralized view of incidents.
BigPanda enriches incidents with recent changes, external observability, service desk activity from ITSM tools, historical incidents, and other ongoing incidents for faster validation and triage.

Accelerate analysis with situational awareness

Empower L1 teams with real-time root cause analysis and enrich incidents with visibility into end-user impact and external factors such as power, weather, and third-party status. Correlate incidents with other ongoing issues to reveal underlying causes and true impact.

Faster, smarter IT incident triage

AI agents gather and summarize incident information, helping L1 teams make data-driven triage decisions. Centralize alert data and streamline knowledge sharing across monitoring tools to enhance L1 operator expertise, reduce escalations, expedite assignments, and enhance priority determination.

BigPanda triage agent gathers and summarizes relevant information and presents AI-generated suggested actions for more accurate triage and fewer escalations.

E-book

From reactive chaos to automated control: Transform ITSM with an agentic AI-powered incident assistant

Learn how your enterprise can save up to 30 minutes per incident in manual work.

Reduce unnecessary escalations

 

“BigPanda has helped significantly with deduplicating, correlating, and automating our process. We now have the full context around what is impacted throughout the organization and how to fix it quickly.”

 

“BigPanda has enabled us to get more real-time, relevant data about a specific incident. This has significantly reduced our mean time to resolution (MTTR).”

FAQ

How does BigPanda reduce costs and improve operational efficiency?

The BigPanda Agentic ITOps platform reduces alert volume by over 95% and helps IT operations automate repetitive tasks, enabling cost savings by scaling with AI instead of additional headcount. By eliminating inefficiencies, NOC teams can proactively detect developing incidents and identify the root cause before they escalate into outages or SLA penalties.

How does BigPanda prevent unnecessary escalations?

The BigPanda Triage Agent gathers and analyzes data from various sources (i.e., service desk, change, and external sources) and presents that information in an AI-generated summary with recommended triage steps. This empowers L1 teams by surfacing relevant information and eliminating the need for investigations.

What data does BigPanda use to deliver alert insights to operations?

BigPanda aggregates and normalizes data from sources including topology, CMDB, external observability, service desk, and change data. It enriches remediation insights and automated root cause analysis by utilizing multidimensional alerts to facilitate swift and informed decision-making. This approach streamlines incident validation and triage, offering a comprehensive view of system interconnectivity and operational impacts.

What types of data can be integrated into BigPanda?

The BigPanda IT Knowledge Graph can ingest data from various internal and external sources, including monitoring and observability tools, historical incident records, knowledge bases, runbooks, external observability, and service desk tickets.

E-BOOK

Laying the data foundation for agentic ITOps: A strategic guide for enterprise IT leaders