System Operational • All Agents Active
AI-Powered Payment Collection for Omantel
6 autonomous AI agents working 24/7 to identify delinquent customers, classify default reasons, and execute optimized payment collection strategies—recovering outstanding debt while maintaining customer relationships.
Amount Recovered
$127K
+23% vs. Q3
Outstanding debt recovered through AI-driven collection strategies
Collection Success
78%
+28 pts vs. rule-based
AI-driven collection vs. 50% with traditional rule-based approaches
Contact SLA
1-3h
From 5 days
Default risk detection to personalized payment plan deployment
Cost Efficiency
94%
Lower cost per save
Reduced intervention costs through AI-optimized channel selection
Return on Investment
11.3x
Every $1 invested returns $11.30 in protected revenue
Amount Recovered
$127.5K
Investment
$11.3K
Net Benefit
$116.2K
Customers Saved
89
Strategic Performance Indicators
Key metrics driving business value and competitive advantage
94%
Precision Targeting
Accuracy in identifying true delinquent customers, minimizing false positives and resource waste
89%
Automation Rate
End-to-end interventions with zero human involvement, freeing teams for complex escalations
4.7/5
Customer Satisfaction
CSAT for AI interactions, outperforming traditional call center by 0.9 points
87%
Offer Acceptance
Personalized payment plans vs. 52% with generic mass campaigns
73%
Channel Response
AI-optimized channel selection (SMS, email) saving $2.35 per interaction vs. calls
+3.2%
Monthly Improvement
Continuous learning drives retention gains as agents optimize from outcomes
AI Agent Fleet Status
7 specialized agents working in perfect orchestration
Active
Risk Detection
Monitors behavior, predicts default probability in real-time
Accuracy
94%
Latency
<50ms
Active
Root Cause
Diagnoses why customers churn using 12+ driver types
Accuracy
91%
Drivers
12+
Active
Strategy Design
Creates Floor/Middle/Ceiling offers tailored per customer
Accept Rate
87%
Avg Discount
23%
Active
Conversation
Real-time dialogues with empathy and persuasion
CSAT
4.7/5
Avg Duration
4.2min
Active
Sentiment
Detects emotions, escalates negative sentiment
Accuracy
93%
Latency
<200ms
Active
Channel Orchestrator
Optimizes timing & channel (SMS, email, call)
Response
73%
Savings
$2.35
Active
Attribution
Tracks outcomes, calculates ROI in real-time
Accuracy
96%
Tracking
Live
Orchestrator
Master Orchestrator
Coordinates all 6 agents, manages end-to-end workflow from detection to attribution
Agents Managed
6
Tasks/Day
2,108
Uptime
99.9%
Efficiency
89%