BigPanda AI Incident Prevention

Benefits

• Prevent incidents: Predict and prevent change-related failures to reduce incidents, avoid escalations, and shift from reactive firefighting to proactive reliability.
• Proactively identify change risks: Every proposed change is automatically evaluated using known risk factors, past incidents, and environment-specific patterns, streamlining CAB reviews and limiting rubber-stamping.
• Automate change analysis: Clear change risk scores make approvals fast, accurate, and trusted, reducing friction between central IT and development teams.
• Provide scalable change governance: With complete visibility and preventive detection, operations teams can address reliability risks before they impact customers.

BigPanda AI Incident Prevention stops change-related incidents before they happen. Give your teams clear risk scores and actionable mitigation recommendations to detect, assess, and mitigate high-risk changes at scale. Change risk intelligence enables teams to immediately pinpoint risky changes without manual investigation, transforming reactive, slow change analysis into a proactive practice.

• Prevent incidents and protect revenue Automate risk analysis using historical change data and impacted CIs to accurately estimate impact. Proactively flag high-risk changes to maintain service uptime, improve brand reputation, and drive top and bottom-line growth.
• Increase efficiency and productivity Lower operational overhead and avoid duplicated effort with clear visibility into changes, including their risk, impact, and mitigation steps that are based on previous changes. Reduce unplanned work and enable engineers to focus on strategic initiatives, not rolling back changes.
• Facilitate innovation and improved customer experiences Predict and prevent change-related failures. With fewer incidents and escalations interrupting planned work, your teams can focus on agile software development to deliver product innovations and reliable customer experiences.

Key capabilities

• Provide AI-powered change analysis: Contextualize change risks using patterns from past related changes, recurring risk factors, and prior outcomes across teams, services, and environments to deliver a clear risk score with transparent reasoning.
• Establish clear guardrails at scale: Use historical insights, affected CIs, and real-time signals to assess the actual probability of impact, rather than basing analysis on human intuition or static rules. Prevent incidents and maximize uptime.
• Proactively recommend risk mitigation steps: Deliver clear, explainable risk scores with detailed reasoning for each change. Provide teams with actionable guidance to harden changes, plan rollbacks, and proactively address high-risk factors before deployment.
• Customizable change management: Configure weightings to customize risk scoring for your organization's needs and priorities. Real-time push notifications enable teams to stay on top of high-risk changes and quickly mitigate to prevent downtime.