Sentinel
Autonomous operations intelligence
An autonomous system that ingests real-world operational signals, catches anomalies the moment they appear, reaches the right people, and resolves each case against policy — with no manual step in the middle.
- Industry
- Operations & automation
- Year
- 2025
- What we ran
- Automation engineering, AI decisioning
- 00:00.0
signal received · sensor #12
- 00:00.3
parse + cross-check schedule
- 00:01.1
anomaly confirmed · 2 sources
- 00:01.4
notified on-call · case opened
- 00:03.2
resolved by policy · trail saved
Less administrative time
Anomalies that slip through
Manual steps in the loop
The problem
A critical process ran on manual checks: slow, error-prone, and blind to problems until it was already too late. The signal data existed all along — it was simply never turned into a decision.
How we solved it
We built a hands-off pipeline from signal to decision. Data is detected and parsed the moment it arrives, cross-checked against the operational schedule, and anything anomalous triggers structured outreach. An AI layer reads the replies and resolves each case against documented policy.
What it does
Hands-off ingestion and parsing the instant data arrives
Cross-checking against schedules and approved exceptions
Automated multi-channel outreach with timed reminders
An AI engine that interprets replies and decides by policy
A real-time dashboard with reporting and management alerts
Under the hood
- Event pipelines
- AI decisioning
- Workflow automation
- Real-time dashboards
What would your expert team take on?
Tell us the work that eats your week. We'll show you which AI expert takes it off your plate — working inside your existing systems — and what it saves you.