Operations | Monitoring | ITSM | DevOps | Cloud

AI can make decisions. But can it make the right ones across your entire IT environment? For enterprise SRE teams, trustworthy AI requires three things: operational context, institutional memory, and guardrails. Without them, autonomous action becomes a risk instead of an advantage. In our latest webinar, we explore what it takes to bring AI SRE capabilities to enterprise scale.

IT environments keep getting noisier and more distributed. The teams managing them aren’t growing at the same pace. That gap won’t close on its own.

See how BigPanda Analytics turns IT operations analytics into instant answers, no hand-built reports required. IT leaders are used to waiting on a report someone on the ops team had to hand build, and every follow-up question starts the cycle over again, while the business keeps moving. This demo shows how IT executives get direct access to IT operations analytics: prebuilt dashboards, AI-powered insights, and a natural language research tool that answers questions in real time.

Swarm investigation puts an entire team of AI agents on a major incident at once, cutting root cause discovery from hours to minutes. Every minute of a major incident costs real money, and traditional investigation, whether it's one engineer chasing a hypothesis or a team coordinating across tools, can't keep pace. This video shows how BigPanda's Swarm investigation dispatches AI agents to query systems, compare signals, and validate root cause in real time. See how autonomous incident response turns hours of manual troubleshooting into minutes.

The fix for your next incident is probably already written in a runbook. See how BigPanda finds the right runbook for every incident, automatically.

Alert correlation solved the noise problem. But noise was never the whole problem. Today’s most disruptive incidents cascade across networks, infrastructure, applications, and services simultaneously, without clear visibility into the true root cause. As a result, L1 teams are left manually piecing together context from multiple dashboards and tools to find the primary root cause while SLA clocks keep ticking and end user tickets add up.

AI incident assistant from BigPanda gives L2, L3, and SRE teams instant answers to resolve incidents faster without manual triage or tool-switching. IT teams lose critical minutes during incidents because context is scattered across Slack threads, bridge calls, monitoring tools, and historical tickets. The BigPanda AI Incident Assistant fixes that by surfacing relevant knowledge exactly when and where responders need it. It gives responders evidence-based resolution paths drawn from historical incidents and live system data, without leaving your workflows.

AI Incident Prevention from BigPanda stops change-related outages before they occur by leveraging risk scores, trend analysis, and guided remediation steps. Manual IT changes are still a leading cause of IT outages and disruptions. BigPanda AI Incident Prevention addresses this by automatically scoring change requests against historical data, flagging high-risk changes before they go live, and surfacing the recurring problems that cause service degradation.

AI ticket assignment, automated. See how BigPanda L1 Agent routes incidents to the right team in seconds. Enterprise IT teams spend the bulk of L1 capacity on manual triage — connecting fragmented context across tools and routing incidents that often land on the wrong team anyway.