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Enhance IT change management processes with BigPanda

4 min read
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by Rachel Pearson | Aug 8, 2025

Reinvent IT change management with AI Incident Prevention

Human-executed change is still the most significant contributor to IT outages, and traditional IT change management can’t keep up. One global enterprise processes over 30,000 changes per month, supported by more than 10 Change Advisory Board (CAB) meetings per week, and still sees 15–20% of major incidents caused by changes. Even more telling: 60% of those incidents are linked to changes previously assessed as “low risk.”

The problem isn’t just the volume of changes. It’s manual processes and a lack of critical context to accurately assess risk and make informed decisions. Static questionnaires often determine risk, lacking key signals of past incidents, team performance, or environment-specific patterns. In some organizations, engineers submitting changes know how to game the system to avoid scrutiny, further undermining trust. This leads to blind spots, rubber-stamped approvals, and change fatigue.

As engineering capacity shrinks under the weight of manual reviews and firefighting and impacts the pace of innovation, a more innovative, scalable approach to change risk becomes urgent.

BigPanda AI Incident Prevention: Proactively mitigate IT change management risks

BigPanda AI Incident Prevention is the only change intelligence solution designed to prevent incidents before they occur. It uses AI to identify risky changes and surface mitigation strategies before code hits production.

For one enterprise we work with, half of all incidents trace back to changes, contributing to over 50 major monthly events and consuming hours in recovery and reporting. Despite significant time spent in CAB meetings (as many as 15 per week, involving dozens of stakeholders), change-related outages continue to disrupt services.

AI Incident Prevention marks a shift from reactive firefighting to predictive prevention, giving IT teams the change intelligence to move faster, more safely, and smarter. Where other tools depend on agents, manual reviews, or deep integrations, BigPanda operates out of the box by leveraging existing ITSM data. It analyzes historical incident patterns, change records, and affected configuration items (CIs) to deliver clear, explainable risk scores and proactive action plans.

Built for change managers, CAB members, and incident response teams, AI Incident Prevention streamlines and scales change governance. It replaces lengthy meetings and gut-check approvals with fast, data-driven insights, ensuring safe, speedy delivery without compromising service reliability.

AI-powered, automated change analysis

BigPanda automatically ingests and analyzes change data to assess downstream impact and uncover hidden risks.

  • Historical patterns, affected CIs, and real-time signals inform every decision.
  • Identify risk factors automatically, reducing reliance on human judgment.
  • CAB reviews become faster, more accurate, and grounded in technical insights.

Use the Change Risk Dashboard to instantly view all change management requests in your environment and assess their associated risks.

Proactively recommend risk mitigation steps

Finally, change management teams gain access to clear, explainable risk scores and recommended mitigation steps. These help them reduce change risks in advance and address risks before deployment, significantly reducing the cost and complexity of recovery efforts.

  • Suggested actions for hardening changes and planning rollbacks.
  • Built-in guidance before a change goes live, not after an incident occurs.
  • Reduction in failed changes, escalations, and unplanned work.

Transform the IT change management process with clear, suggested mitigation steps and change risk scores based on historical insights.

Guardrails for safe, agile change delivery

AI Incident Prevention introduces automated guardrails that scale with change volume, empowering organizations to maintain service reliability and accelerate delivery. The result is consistent, policy-driven control without slowing down software delivery.

  • High-risk changes are flagged or blocked automatically.
  • Provides step‑by‑step guidance with immediate feedback at every step.
  • Change governance becomes embedded in daily workflows.

Use historical insights, affected CIs, and real-time signals to assess the actual probability of change impact.

Customizable risk scoring and real-time alerts

AI Incident Prevention puts teams in control with customizable IT change management. Organizations can configure risk scoring to reflect their unique priorities, environments, and governance models, ensuring risk evaluations align with business context. This flexibility ensures change controls can scale with the business without slowing delivery.

  • Adjust risk weightings based on internal policies and historical outcomes.
  • Enable real-time alerts for high-risk changes before they reach production.
  • Empower teams to act fast and prevent downtime without manual oversight.

Configure weightings to customize risk scoring for your organization's needs and priorities.

AI Incident Prevention modernizes IT change management by providing visibility, control, and automation where needed. With fewer change-related incidents, teams can preserve uptime, reduce operational overhead, and focus on high-impact initiatives.

If you’d like to see AI Incident Prevention in action, join our product team at our upcoming webinar on September 17, Prevent the Next Incident: See Change Risk Management in Action. Can’t wait? Sign up for a personalized demo of AI Incident Prevention to see how AI can automate and transform your organization’s IT change management process.