Benefits
- Scale operations through intelligent automation:
Reduce manual effort across detection, triage, and response, enabling teams to resolve incidents faster, handle higher volumes, and scale operations without adding headcount or cost. - Gain unified visibility across platforms:
Break down data silos across cloud services, applications, and infrastructure to improve collaboration, accelerate issue detection, and enable faster and more confident responses. - Modernize with lower risks and costs:
Support rapid releases while reducing change-related failures by identifying risk early and minimizing outages during platform evolution and digital transformation.
Technology companies develop and operate the digital platforms, products, and services that modern businesses and consumers rely on. From SaaS applications to cloud platforms and developer tools, service reliability and performance directly impact customer trust, revenue growth, and competitive position. Any disruptions to those services can impact user experience, slow product adoption, and increase churn.
At the same time, technology companies are under constant pressure to accelerate innovation. Continuous releases, frequent infrastructure changes, and rapid scaling are essential to staying competitive. However, as environments grow more complex, traditional IT operations struggle to keep pace. Fragmented tools, high alert volumes, and manual incident management increase costs, slow response, and introduce risk during critical moments.
To sustain growth, technology leaders must reduce operational risks and costs while enabling teams to move faster. This requires a more intelligent approach to IT operations that supports reliability, efficiency, and prevention across the full service lifecycle.
- Competitive and rapidly evolving markets
Technology teams must support continuous product innovation while effectively managing operational costs. Slow incident response, manual processes, and reactive operations hinder engineering velocity and make it challenging to scale efficiently in competitive markets. - High expectations for service reliability
Customers expect seamless experiences and dependable performance. Outages can disrupt product usage, delay feature delivery, and erode trust. Maintaining high service reliability is crucial for protecting revenue and fostering long-term customer relationships. - Complex, global IT environments
Technology companies operate across cloud services, applications, data platforms, and distributed infrastructure. As complexity increases, alert noise and fragmented visibility make it challenging to identify issues early and resolve incidents promptly.
How agentic IT operations can help
Technology companies compete on speed, reliability, and continuous innovation. The BigPanda Agentic IT Operations Platform helps technology organizations reduce outages, operate more efficiently, and support innovation by unifying IT incident detection, response, and prevention across their entire IT infrastructure.
When issues occur across complex cloud and application environments, noise and a lack of context delay action. BigPanda connects data from monitoring, ITSM, change, and collaboration systems to surface meaningful incidents quickly and provide clear operational context. AI Detection and Response allows technology teams to identify customer-impacting issues earlier, reduce alert fatigue, and maintain reliable service delivery as platforms evolve.
Once incidents occur, fast coordination is critical to minimizing disruptions. BigPanda automates investigation, communication, and collaboration across engineering, operations, and service teams. The BigPanda AI Incident Assistant helps teams resolve incidents faster, reduce manual effort, and avoid unnecessary escalations, allowing them to operate at a greater scale with existing resources.
Frequent releases and infrastructure changes introduce ongoing risks. BigPanda analyzes change activity, dependencies, and historical outcomes to identify potential issues before failures occur. Using AI Incident Prevention, technology companies can ship faster while reducing outages caused by change and recurring problems.
These capabilities are powered by the BigPanda IT Knowledge Graph, which continuously learns how systems behave in real-world conditions. By reasoning over dynamic operational context, BigPanda enables coordinated action across detection, response, and prevention, helping technology leaders lower operational costs, reduce risks, and deliver reliable platforms that support long-term growth.
“Before implementing BigPanda, the amount of alert noise was overwhelming. BigPanda allowed us to implement AI that reduced alert noise and allowed us to get to the root cause faster.”
Christopher Black
Divisional CTO,
AI Detection and Response
AI Incident Assistant
AI Incident Prevention
Challenge
High alert volumes and fragmented visibility slow the detection of incidents that affect customer-facing platforms and services.
Incident investigation is slow due to manual workflows and poor coordination across engineering and operations teams.
Frequent releases and infrastructure changes introduce risks that often surface only after outages occur.
Business value
Correlate signals across complex environments to surface critical incidents early and reduce customer-impacting downtime.
Automate investigation and collaboration with AI summaries and recommendations to speed incident handling and reduce resolution time.
Analyze change and historical patterns to identify risk early and prevent incidents before they impact customers.
AI Detection and Response
Challenge
High alert volumes and fragmented visibility slow the detection of incidents that affect customer-facing platforms and services.
Business value
Correlate signals across complex environments to surface critical incidents early and reduce customer-impacting downtime.
AI Incident Assistant
Challenge
Incident investigation is slow due to manual workflows and poor coordination across engineering and operations teams.
Business value
Automate investigation and collaboration with AI summaries and recommendations to speed incident handling and reduce resolution time.
AI Incident Prevention
Challenge
Frequent releases and infrastructure changes introduce risks that often surface only after outages occur.
Business value
Analyze change and historical patterns to identify risk early and prevent incidents before they impact customers.
“With the help of BigPanda, we reduced incidents by 69% and significantly improved IT operational efficiency.”
Samy Senthivel
Director of Observability Services,
