Signals surfaces every wasted hour across your engineering org — blocked states, redundant processes, QA delays — then quantifies exactly how much time you'd get back by fixing each one.
AI-Powered Engineering Intelligence
Executive dashboard for operational efficiency and risk mitigation
Potential Time Savings
Hours saved per month
870h
7 opportunities
Opportunity Type Distribution
Based on identified opportunities
Realized vs Potential Time Savings
Monthly trend
Untracked Work – Standup Follow-up
AvailableSara mentioned SDK analytics work in standup but no Jira ticket exists — automate ticket creation to track unplanned work
Source
Team Analytics
Tickets
36
Saved
52h
Opportunity
52h
Trend Analysis (Last 30 Days)
Create Automated Agent
This agent will monitor your tickets and send Slack alerts to developers (which will be escalated to managers if ignored).
Drill Down, Then Act
Every row in the savings table is a live opportunity. Click into any item to see the full context — how the gap was detected, which tickets are affected, and how the trend is moving — then spin up an automated agent to fix it without leaving the dashboard.
Automated Alerts
When an agent activates, your team gets Slack notifications the moment an automation triggers — no dashboards to check, no manual follow-ups.
# signals-alerts
⚠ Automation Alert
Automation Alert: Your automation has been triggered.
01 — Detect
Signals continuously monitors your engineering signals and identifies savings opportunities in real time.
02 — Quantify
Each opportunity is measured against ideal benchmarks, surfacing exactly how many hours and how many days can be recovered.
03 — Automate
One click spawns an active agent that monitors the gap, alerts developers on Slack, and escalates to managers if left unresolved.