IQ
HybridAI Operations IntelligenceIQ
Operational intelligence for hybrid AI data environments
AI continuously learning from 14,832 operational outcomes
AC
Avery Chen · InfraOps Lead
Active Signals
147
▲ 23 vs 24h · 11 critical
Open Initiatives
38
12 cross-team · 4 in escalation
Mean Time to Coordinate
17m
▼ 62% vs baseline (45m)
AI Recommendations Accepted
87.4%
last 90 days · 2,341 closures
Hybrid Estate Posture
Operational health across infrastructure tiers
Healthy Degraded At Risk
Continuous Intelligence Loop
Signal → Decision → Execution → Outcome
Signals ingested · 24h
62,418
Decisions recommended
412
Workflows executed
187
Outcomes captured
171
Learnings → recommendations
94
Top AI Recommendations
Highest-confidence actions awaiting human review
AI · live
Cross-Domain Correlations
Signals that look related across silos
14 active
Operational Signal Velocity · 14 days
Volume by domain
Storage Network Security AI Pipeline
Module Activity · 24h
Where intelligence flowed
TrendIQ

Signal detection & pattern intelligence

AI surfaces anomalies across storage fabric, network, identity, governance repositories, and AI pipelines. Accept a signal to create an initiative — the tasks are auto-populated and the signal moves to DecisionIQ for coordinated execution.

62,418 signals · 24h 11 critical anomalies
Anomaly Clusters
23
Leading Indicators
9
Pre-Incident Detections
14
Cyber Indicators
6
Governance Drift
4
Live Signal Feed
Each signal carries an AI-recommended initiative owner. Click "Drill into recommended tasks →" to review and accept — accepting creates an initiative in DecisionIQ and removes the signal from the feed.
streaming
All surfaced signals have been accepted and moved to DecisionIQ.
New anomalies will appear here as AI detects them.
AI Leading Indicators
Patterns that historically precede incidents
Anomaly Pattern Clusters
AI groups related signals into pattern clusters. Each cluster represents a coherent operational story spanning multiple domains.
Signal Pattern · last 30 days
Storage / network / security anomaly trend
Cross-Domain Correlations
Signal pairs that AI has linked across operational silos — the foundation for cross-team initiatives.
14 active
AI Root Cause Analysis
For each active incident pattern, AI traces symptoms → contributing causes → root cause, drawing on historical closure data from EffectivenessIQ.
AI · 4 active analyses
TrendIQ Recommendations
Proactive AI recommendations based on the current signal landscape and historical patterns. Each carries an action verb and confidence score.
6 active
DecisionIQ

Initiative → strategy translation

Initiatives created from accepted signals live here. Expand any initiative to see its tasks and owners. AI suggests additional tasks inline, and you can add custom tasks anytime — both routed back into ActionIQ.

0 open initiatives 12 cross-team
Click any initiative to expand · review tasks · accept AI suggestions · add custom tasks
Reusable Workflow Library
Proven closure paths from EffectivenessIQ
AI Closure Rationale
Why AI is recommending this path
ActionIQ

Initiatives Kanban · cross-team execution

Initiatives flow through Queued → In Progress → Blocked → Done. Click any initiative card to open its Tasks Kanban. New initiatives from accepted TrendIQ signals land in In Progress automatically.

0 initiatives 94% on SLA
Initiatives Board
Click an initiative to open its Tasks Kanban
live
AI Operational Copilot
Live workflow optimizations across the board
Automation Opportunities
Workflows AI can fully orchestrate
+24% capacity
EffectivenessIQ

Outcomes and organizational learning

What worked. What failed. What sequence beat the others. AI captures every closure outcome and SME insight — and feeds them back as better recommendations across all modules.

2,341 outcomes captured +18% MTTR improvement YoY
MTTR · Cross-Domain
42m
▼ 31m vs Q-1
Governance Closure Rate
96.2%
▲ 4.1pt YoY
Recovery Effectiveness
8.7/10
Composite · 14 dimensions
Learning Loop Velocity
94
SME insights → AI · last 7 days
Outcome Trend · MTTR & Recovery Effectiveness
12-week rolling
MTTR (lower better) Recovery score
Closed-Loop Learning
How outcomes are reshaping AI recommendations
What worked147 patterns
What failed31 patterns
Better sequencing22 patterns
AI Governance Posture · Hybrid Estate
Continuous attestation across AI workloads
Attested Drift Violation
Signal drill-down

Recommended Initiative

Initiative Owner
Closure Path · AI Confidence

AI Rationale

Recommended Tasks

AI-sequenced

Patterns this signal participates in

Correlations involving this signal

Root cause analyses where this signal appears

Recommendations relevant to this signal

Accepting creates an initiative in DecisionIQ with these tasks and owners. The signal is then removed from the TrendIQ feed.
Add task
AI pre-filled based on the initiative's closure path and historical patterns. You can edit any field before adding.
Task will appear in the initiative and flow to ActionIQ.
Tasks Kanban
Move tasks across columns using the status dropdown on each card. Owners can be reassigned from the card.