Supercharge your IT experts with AI assistance

BigPanda AI Incident Assistant is an always-on partner that helps IT teams streamline collaboration, investigate smarter, automate resolution and drive prevention of future incidents – without the chaos.

Investigate and resolve incidents faster with agentic AI

Surface hidden knowledge and cross-system context from siloed teams and tools to quickly uncover what’s happening, why, and how to fix it.

Resolve issues quickly and confidently

Get rid of guesswork. Provide your teams with evidence-based resolution paths, powered by AI analysis of historical incidents, chats, bridge calls, and system data. Get intelligent, low-risk actions with clear outcomes, dependencies, and impact analysis.

The BigPanda AI Incident Assistant automatically delivers clear resolution steps to responders.
The BigPanda AI Incident Assistant gleans actionable insights from across siloed systems, hidden data, and historical activities.

Surface insights with AI-powered investigation

Investigate incidents by asking plain language questions that surface insights from siloed systems, hidden data, and historical activity patterns. Gain immediate situational awareness without switching tools or repeating manual investigative steps.

Automate incident collaboration

Move from manual incident coordination to orchestrated agentic collaboration. Leverage AI to instantly create incident channels, assemble SMEs to bridge calls, and summarize findings in real-time, improving consistency and accelerating shared understanding.

The BigPanda AI Incident Assistant automatically creates managed incident channels to streamline incident response.
AI Incident Assistant’s workflow builder has an intuitive drag-and-drop design to automate incident management tasks.

Automate with intelligence

Streamline operations with AI-powered workflows. The intuitive, no-code workflow builder enables the creation of scheduled or real-time automations for repetitive tasks using natural language and a drag-and-drop interface.

How BigPanda accelerates
investigation and resolution

“RCA and executive summaries have transformed our workflows. AI Incident Assistant’s responses are fast, reliable, and consistent. We are seeing 200% time savings in RCA generation.”

Director, Technical Support

AI Incident Assistant Beta Program

“AI Incident Assistant improves our teams’ efficacy and enhances our workflows. On average, we save 20-30 minutes per incident on manual tasks, freeing up time to focus on more strategic initiatives.”

Head of Product

AI Incident Assistant Beta Program

“AI Incident Assistant speeds up MTTR and enhances mean time to knowledge, allowing a deeper understanding of impacts based on historical data and streamlining communication between teams.”

Service availability team member

AI Incident Assistant Beta Program

FAQ

What type of data and knowledge does AI Incident Assistant analyze?

AI Incident Assistant combines telemetry data, service history, and tribal knowledge integrated from open, agnostic sources and augmented with GenAI. It provides responders at all levels with a deep understanding of your IT infrastructure so they can investigate quickly and accurately.

Is AI Incident Assistant secure?

AI Incident Assistant follows all the security controls for data handling and customer data protection that BigPanda follows. BigPanda applies industry-standard security technologies and procedures to protect your data. Your data is always secure, whether transmitted, stored, or processed.

Which IT teams benefit from using AI Incident Assistant?

Incident management teams, including those in the Service Desk, Service Owners, L2 Support, L3 Engineers, SREs, Incident Managers, and Incident Commander roles, all benefit from AI Incident Assistant. AI Incident Assistant provides a central hub for all knowledge and data, streamlining collaboration, accelerating investigation, and automating resolution and workflows in real-time.

How does AI Incident Assistant reduce manual toil?

The AI Incident Assistant automates high-effort steps, such as gathering historical context, summarizing updates, surfacing contributing factors, and facilitating collaboration. Teams avoid repetitive manual investigation and gain the clarity needed to focus on solving the issue rather than reconstructing what happened.

E-BOOK

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