Enterprise AI Automated Systems
Deploying autonomous AI support agent networks and automated task routing
View Live Project- Client
- Meridian Trust Bank (Customer Support Automation Division)
- Year
- 2026
- Industry
- AI Engineering & Automation
- Services
- Multi-Agent Orchestration · Natural Language Processing · API Integration · Security Sandboxing
High support ticket backlog, average response times exceeding 2 hours, and high manual triage cost across customer channels.
The STELLR IT Approach
- 01
NLP Classification Engine – Deployed real-time sentence transformers to classify support intents within 50ms.
- 02
Autonomous Agent Swarms – Enforced multi-agent systems to cross-verify database changes before final response.
- 03
Secure Sandbox APIs – Bound system access to read-only databases for unverified queries and secure write paths for verified users.
- 04
SIEM Integration & Alerts – Wired logs directly into bank security dashboards for full oversight.
The Impact
Before vs. After Metrics
| Metric | Before | After |
|---|---|---|
| Support Ticket Backlog | 1,200/day | 0/day (real-time resolution) |
| Response Time | 2.3 Hours | < 2 Seconds |
| Triage Accuracy | 76% | 98.5% |
Visual Highlights
Agent performance and natural language model diagnostics dashboard
Centralized AI model confidence logs and routing path views
“AI in enterprise isn't about replacing humans; it's about solving the trivial immediately so human experts can resolve the critical.”
National Home Services Campaign
Converting ad impressions into action for National Home Services
Want results like these?
Tell us about your project — a senior partner replies within one business day.
Hi there! 👋
We typically reply in minutes. Start a conversation below.