SaaS / B2BAI Agents & Automations16 Weeks
A B2B platform handling hundreds of daily production events had outgrown its manual process for detection, ticketing, and stakeholder outreach. We deployed AI agents that monitor every data stream and handle the full incident lifecycle from first detection to notification automatically.
3 seconds
Avg Response Time
$500K
Annual Savings
20+/week
Analyst Hours Saved

“I tell people it's like we added three really reliable people to the team who never take a day off. ”
Marcus Reeves
VP of Production, aiDetect
Before
Manual anomaly scanning, 8-minute response delays, Siloed stakeholder alerts
After
AI-driven anomaly detection, Sub-3-second response, Unified multi-channel alerts
Narrative
The Challenge
The production support team handled hundreds of events daily, and each one needed about 15 to 20 minutes to detect, log, and notify the right people. As event volume kept growing, alerts were going out across email, chat, and phone separately, so the right person only got the message about half the time.
What We Built
We built a set of AI agents that work together. One watches incoming data and flags anomalies the moment they appear. Another classifies severity and routes the incident, while a third sends coordinated alerts across email, chat, phone, and messaging simultaneously. The agents also generate enriched tickets in the client's incident management platform and assign ownership on their own. The whole pipeline from detection to ticket to notification wraps up in under 3 seconds.
Results
Incident detection and ticketing now runs automatically for the vast majority of events. Response time went from 15 minutes to under 3 seconds. The right people get notified within seconds instead of finding out late or not at all. The client estimates the platform saves them around $500K a year in avoided SLA penalties and repeat incident costs.
Story gallery
Technical proof
Implementation details and the stack behind the delivery.
Implementation highlights
Key engineering decisions from this project.
Stack snapshot
Tools and platforms used in the delivery.
Related stories

Replacing 20-Hour Document Reviews with 15-Second AI Agents
Extraction Accuracy
Processing Time Reduction
Pages Processed Annually

Turning Weeks of Manual Audits into 4-Hour Scans
Exploitation Incidents
False Alert Rate
Weekly Compliance Hours
Tell us about your workflow, and we will map out what AI can automate.