AI-POWERED PATTERN INTELLIGENCE

"That error's showing up again" — Sound Familiar?

We've all seen this, right? The same NullPointerException pops up every Monday morning. Three engineers spend their chai time debugging it. By Wednesday, it's back again.

What if I told you that your system alerts actually have stacktraces that tell the whole story? The error message, the root cause, the fix — it's all hiding in plain sight. But nobody has time to read through 500 lines of logs at 3 AM.

This is where the magic happens. Our AI agents don't just detect patterns — they read the stacktraces, understand the root cause, auto-assign to the right queue, and in many cases — fix it themselves before anyone wakes up.

67% Fewer Repeat Incidents
4.2hrs Avg MTTR Reduction
$1.8M Annual Savings
Live: Stacktrace Auto-Analysis
java.lang.OutOfMemoryError: Java heap space
at com.damac.payment.PaymentService.processQueue
at com.damac.payment.BatchProcessor.run
⚡ AI Analysis: Memory leak in PaymentService
📍 Root Cause: Unclosed DB connections in loop
✅ Auto-Fix: Connection pool reset triggered
🎯 Queue: Auto-assigned to Platform Team (P2)
See Self-Healing
Powered by SCIKIQ GenAI

Agentic AI Command Center LIVE

5 Agents Active Real-time Analysis
Stacktrace Analyzer
Parses error logs & identifies root cause
247 analyzed
Pattern Detector
ML clustering & anomaly detection
23 patterns
Queue Optimizer
Smart triage & priority assignment
156 routed
Auto-Healer
Self-remediation & auto-fix
89 auto-fixed
KB Updater
Auto-updates runbooks & wiki
34 articles
Intelligent Queue Assignment & Triage AI-Powered
P1 CRITICAL 3
Payment Gateway Down 12m
DB Connection Pool 8m
Auth Service 503 5m
SLA: 15min response
P2 HIGH 8
Memory Leak Alert 45m
API Timeout Spike 32m
Cache Miss Rate High 28m
SLA: 1hr response
P3 MEDIUM 15
Slow Query Detected 2h
Log Volume Spike 1.5h
SSL Cert Expiring 1h
SLA: 4hr response
P4 LOW 24
Disk Usage Warning 6h
Config Drift Alert 4h
Performance Advisory 3h
SLA: 24hr response
AI Triage Decision Explained

"Payment Gateway Down" was classified as P1 because the stacktrace shows ConnectionRefusedException affecting the payment-service pod. Historical data shows this pattern caused 23 customer complaints last month. Auto-assigned to Platform Team based on skill matching and current workload (2 tickets vs avg 5).

Anomaly Detection
3 Active
CRITICAL 2 min ago
Error Rate Spike: 340% ↑

payment-service showing unusual 500 errors

HIGH 8 min ago
Memory Usage: 94%

checkout-service approaching OOM threshold

MEDIUM 15 min ago
Latency Drift: +180ms

api-gateway response time degradation

Self-Healing Flow — Live Remediation Pipeline ZeroOps Active
89 auto-resolved today Full Dashboard
Alert Ingestion
Prometheus/Dynatrace
Stacktrace Parse
SCIKIQ GenAI Analysis
Root Cause ID
Pattern Matching
Runbook Match
KB Vector Search
Auto-Remediate
K8s/Ansible Actions
Verify & Learn
Update Knowledge Base
Recent Auto-Healed Issues
Auto-Fixed
Memory Leak - payment-svc

Pod restart + connection pool reset

12m ago
Auto-Fixed
SSL Certificate Renewal

Auto-renewed via Let's Encrypt

45m ago
Auto-Fixed
Redis Failover Triggered

Switched to replica in 2.3s

1h ago
Live ROI Calculator GenAI Powered
100 2,500 tickets/mo 10,000
$25 $75/hr $200
$156K
Annual Savings
2,080
Hours Saved/Year
847%
ROI
GenAI auto-resolves 67% of recurring issues
Before vs After GenAI
Manual Pattern Detection
3-5 days to identify 60% missed patterns
Reactive Incident Response
4.2hr avg MTTR Manual escalation
Knowledge Silos
Tribal knowledge No auto-documentation
GenAI Decision Explainability Transparent AI
Input: System Alert
[CRITICAL] payment-service
java.lang.OutOfMemoryError
at PaymentService.processQueue:142
Heap usage: 98% | GC overhead: 45%
Pattern: 12 similar in last 7 days
GenAI Analysis
SCIKIQ GenAI
Output: AI Decision
P1 Priority: Critical Confidence: 96%
INFRA Team: Infrastructure Skill match: 94%
AUTO Action: Pod Restart Success rate: 95%
Reasoning: Memory leak pattern detected 12x this week. Historical data shows pod restart resolves 95% of cases within 45 seconds.
AI Confidence Breakdown
Pattern Match 98%
Root Cause ID 94%
Team Assignment 89%
Auto-Fix Success 95%
Predictive Insights
Next 24hrs
87% likely In ~4 hours
Memory Exhaustion - checkout-svc

Based on current memory growth rate of 2.3%/hr

72% likely In ~8 hours
SSL Cert Expiry - api-gateway

Certificate expires in 6 days, auto-renew may fail

65% likely In ~12 hours
DB Connection Spike - payment-db

End-of-month processing expected to hit pool limits

Predictions powered by SCIKIQ GenAI + historical pattern analysis
Enterprise Integration Hub Seamless Connectivity
All systems connected
ServiceNow
Connected
1,247 tickets synced
89 auto-created today
Bi-directional sync
Jira Software
Connected
342 issues linked
23 bugs auto-filed
Auto bug creation
Slack
Connected
12 channels active
156 alerts sent today
Real-time alerts
PagerDuty
Connected
8 on-call schedules
3 active incidents
Auto-escalation
Alert Detected GenAI Analysis ServiceNow Ticket Slack Alert Auto-Remediate Jira Update
Agent Journey - Pattern Detection Pipeline
0 of 5 steps
1
Data Collection
Pending
Agent connects to ITSM database and retrieves all historical ticket data including categories, descriptions, resolution times, and affected properties.
0 Tickets
- Date Range
0 Properties
2
Issue Clustering
Pending
Groups similar tickets together using NLP-based similarity matching. Clusters tickets by category, subcategory, symptoms, and affected assets.
0 Clusters
0% Accuracy
3
Pattern Mining
Pending
Analyzes clusters to identify statistically significant recurring patterns. Looks for temporal patterns, property-specific issues, and category trends.
0 Patterns
0 Critical
4
Impact Assessment
Pending
Calculates business impact for each pattern including total hours lost, affected users, SLA violations, and estimated cost to the organization.
0h Hours Lost
$0 Est. Cost
5
AI Root Cause & Recommendations
Pending
SCIKIQ GenAI analyzes each pattern to determine root causes and generates actionable recommendations to prevent future occurrences.
0 Recommendations
0 Root Causes
Pattern Detection Algorithm Weights
Occurrence Frequency
35%
Impact Severity
30%
Property Spread
20%
Time Recency
15%
Agent Activity Log
0 events
Waiting to start journey...
Real-time Metrics
-
Patterns
-
Tickets
-
Impact Hrs
-
Properties
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