AI Trends: How Rootly Powers Jira & Microsoft Teams

Artificial Intelligence (AI) is fundamentally changing IT operations and incident management. As digital systems become more complex, traditional, manual methods for handling outages are no longer sufficient. This is where AI-driven platforms like Rootly come in, transforming incident response from a reactive, high-stress event into a proactive, automated, and efficient process.

This article explores the key AI trends shaping the future of observability. We'll also show you how Rootly’s powerful integrations with essential enterprise tools like Jira and Microsoft Teams put these trends into practice, helping your engineering teams build more reliable and resilient systems.

What trends will define AI observability tools in 2026?

As systems grow more complex, the ability to observe and understand what’s happening inside them is critical. Simply collecting massive amounts of data isn't enough. AI is the key to unlocking the next generation of observability tools and is central to the future of incident management, which is shifting from a reactive stance to a proactive one.

The Shift Toward Predictive and Proactive Operations

The most significant industry-wide trend is the move away from simply reacting to outages toward predicting and preventing them before they impact users. This is powered by AI for IT Operations (AIOps).

AIOps platforms analyze historical data and real-time trends to identify potential issues early. By 2026, these tools will be even more focused on anomaly detection, learning a system's "normal" behavior to flag subtle deviations that could indicate a future problem. AIOps will increasingly integrate with DevOps practices to provide augmented decision-making, helping IT professionals resolve issues more swiftly [4]. This proactive approach requires complete visibility across all systems, which AIOps delivers to help teams predict and address potential problems before they escalate [5].

AI-Driven Root Cause Analysis and Self-Healing Systems

When an incident does occur, AI will drastically reduce the Mean Time to Resolution (MTTR) by automatically correlating data from logs, metrics, and traces to pinpoint the root cause.

This leads to the concept of "self-healing systems," where AI not only identifies a problem but also suggests or automatically applies a fix for common issues, like restarting a service. Platforms like Rootly are already pioneering this by using AI to create a more resilient, self-healing infrastructure. This is part of the broader rise of agentic AI, where autonomous systems perform tasks. However, many AI projects fail without clear objectives, so building trust is essential. This is achieved through AI-native observability that ensures reliability and governance [3].

Unified Observability and the Importance of Data

To get a complete picture of system health, you need to break down data silos. A key trend is the consolidation of data from various sources into a single, unified platform to provide a holistic view of system health.

This need for transparency is driving significant investment. The AI observability market is projected to grow from $2.1 billion in 2023 to approximately $10.7 billion by 2033, making it an essential component for enterprises [1]. The real value, however, comes from combining an organization's unique first-party data with AI models. This creates actionable insights that generic models can't, positioning 2026 as a pivotal year for data and AI observability [2].

Can Rootly connect with Microsoft Teams for distributed engineering teams?

Yes, Rootly's integration with Microsoft Teams is designed to create a centralized command center for incidents, which is crucial for coordinating distributed teams and keeping everyone on the same page.

Centralizing Incident Communication in Real-Time

Keeping everyone aligned during an incident is a major challenge, especially when teams are geographically dispersed. The Rootly integration solves this by automatically creating a dedicated incident channel in Microsoft Teams the moment an incident is declared.

This channel automatically includes the right on-call engineers, stakeholders, and subject matter experts. This action breaks down information silos and ensures everyone has a single source of truth for communication, which reduces confusion and speeds up response time.

Executing and Automating Workflows Directly from Teams

The integration is more than just a notification system—it's an interactive workspace. Engineers can run Rootly commands directly within the Teams channel to perform actions like assigning roles, creating tasks, or escalating the incident.

Rootly also posts automated, real-time updates into the channel, such as status changes, severity level updates, and summaries for leadership. This is a core part of using APIs to automate repetitive tasks and create a unified command center for incident response.

What does Rootly’s integration with Jira enable?

Resolving an incident is often just the beginning; the follow-up work is critical for long-term reliability. Rootly's Jira integration automates and tracks this entire post-incident process, ensuring nothing falls through the cracks.

Automating Post-Incident Action Items

Rootly can automatically create Jira tickets for follow-up tasks and action items identified during a post-mortem. This ensures accountability and guarantees that important lessons learned from an incident are translated into concrete development work. Ticket creation can even be triggered automatically based on an incident's severity or type, helping you enforce consistent processes across your organization.

Creating a Seamless Audit Trail from Incident to Resolution

The integration provides a valuable bi-directional link between the incident in Rootly and the corresponding task in Jira. When an update is made in a Jira ticket—for instance, a bug fix moves from "In Progress" to "Done"—the incident timeline in Rootly is automatically updated.

This creates a complete, end-to-end audit trail, providing full visibility for engineering leaders and Site Reliability Engineering (SRE) teams into how incidents are being permanently resolved. This streamlined workflow is a key factor in improving reliability, preventing recurring issues, and ultimately helping organizations improve their system reliability.

Conclusion: Build a More Resilient Future with Rootly

The future of IT operations is defined by proactive, AI-driven observability and automation. Rootly brings these future trends into today's workflows through powerful integrations with the tools your engineering teams use every day, like Microsoft Teams and Jira.

By centralizing communication and automating post-incident tasks, Rootly empowers teams to not only resolve incidents faster but also build more resilient systems for the long term.

Ready to see how Rootly can transform your incident management practices? Book a demo to discover how our platform can empower your team.

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