Audience
Engineering teams and software-development leaders wanting a tool to monitor execution, detect risks early, and improve delivery velocity without relying on manual oversight
About Signals AI
Signals AI is an AI-native engineering-intelligence platform that continuously monitors development workflows and tool usage to surface real-time insights and risk signals. It combines traditional engineering metrics (e.g., deployment frequency, build and test outcomes, project activity) with AI-powered tracking of how teams use tools, enabling automatic detection of potential bottlenecks, delays, or emerging issues before they escalate. Signals AI integrates with systems like Jira and supports project-level visibility into execution, investments, deployments, and team performance metrics. It delivers real-time alerts for build failures, deployment risks, SLA breaches, and more, right where teams collaborate (e.g., in Microsoft Teams). Weekly digests summarize key operational metrics such as cycle-time, deployment frequency, and project hotspots. Its dashboards and AI-driven insights include root-cause analysis and recommended fixes, helping engineering leaders proactively.