🤖 Bottleneck Insights: AI-Powered Delivery Blocker Detection

We're launching Bottleneck Insights
 — a new AI-powered module that automatically detects where your engineering workflows are slowing down, before those slowdowns turn into missed deadlines or frustrated teams.
## What Is Bottleneck Insights?
Bottleneck Insights continuously analyzes your engineering data and surfaces the patterns that are degrading delivery performance. Instead of waiting for someone to notice that velocity is dropping or PRs are piling up, the AI proactively identifies the root causes and brings them to your attention.
## What It Detects
The AI looks across your full delivery workflow and flags issues like:
PR review bottlenecks:
 Pull requests that have been waiting for review longer than your team's baseline, with context on which authors or reviewers are involved.
Stalled work:
 Issues or tasks that have been in progress for an unusually long time with little or no activity — potential signs of blocked work, unclear scope, or competing priorities.
Recurring delay patterns:
 Repeated slowdowns at the same stage of the pipeline (e.g., PRs always slow down on Fridays, or deployments consistently lag after sprint end).
Cycle time regressions:
 Significant increases in Coding, Review, or Deploy time compared to recent baselines, flagged before they compound.
Workload imbalance:
 Detection of situations where one team member or one service is becoming a consistent choke point.
## How It Works
Bottleneck Insights runs in the background and surfaces findings with a dedicated section in the product where you can browse current and recent bottlenecks, each with supporting data and a plain-language explanation of what's happening.
Each insight includes the context needed to act: which team, which repo, which time period, and what the expected baseline was. No manual analysis required.
## Why It Matters
Engineering teams generate enormous amounts of delivery data, but the signal is often buried in the noise. Bottleneck Insights applies AI to do the hard work of pattern recognition — so your engineering leaders spend less time diagnosing and more time removing blockers.
This is the first module in Leanmote's Proactive Insights
 track, with more AI-driven analysis coming throughout the year.