Command Center
All agents active Β· Last sync 42s ago
Cost Saved (MTD)
$2.47M
β 18.3% vs last month
Anomalies Detected
143
β 7 new today
SLA Breach Risk
3
Critical Β· $840K exposure
Resources Optimized
89
β 12 pending approval
πΈ Cost Savings Trend
Monthly savings attributed to AI agent actions
π Anomaly Breakdown by Category
Distribution of detected anomalies this quarter
π Live Alert Feed
LIVE
π€ Agent Activity Log
Analytics & Cost Math
Quantifiable financial impact β showing the math
Overview
By Agent
Trends
π Cost Impact Formula
How we calculate savings
Net Savings = (Baseline Spend β Optimized Spend)
Γ (1 β SLA Penalty Rate)
Γ Resource Utilization Factor
Γ (1 β SLA Penalty Rate)
Γ Resource Utilization Factor
Baseline Spend (Q2)$12.84M
Optimized Spend (Q2)$10.37M
SLA Penalty Saved$0.84M
Resource Savings$0.61M
Total Net Savings$3.88M
π― ROI by Agent
Return on AI investment
Spend Intelligence$1.47M
SLA Prevention$0.84M
Resource Optimizer$0.61M
Financial Ops$0.96M
π
Close Cycle Tracker
Month-end financial close progress
Data Ingestion
Reconciliation
Variance Analysis
Root-cause Attribution
CFO Sign-off
58% completeEst. close: Mar 31
π Full Spend Analytics
π Spend Intelligence Agent
Procurement, vendor & operations anomaly detection with autonomous action
Anomalies Found
143
7 new Β· High priority
Duplicate Spend
$318K
23 duplicate invoices
Rate Optimization
$1.14M
β Opportunity identified
Playbooks Generated
18
β 4 this week
π’ Vendor Cost Comparison
Current vs optimized vendor rates
Bar
Line
π Spend by Category
Breakdown of enterprise spend distribution
β οΈ Anomaly Detection Table
| ID | Vendor / Source | Type | Amount | Detected | Severity | Action |
|---|
π Duplicate Spend Finder
23 duplicates Β· $318K exposure
| Invoice A | Invoice B | Vendor | Amount | Similarity | Action |
|---|
π SLA & Penalty Prevention Agent
Detect approaching breaches, reroute work, shift resources, escalate before the financial hit lands
π¨ Active SLA Alerts
πΈ Penalty Exposure Calculator
Real-time financial impact of SLA breaches
Penalty = Contract Value Γ Breach Rate Γ Days Overdue
Risk Score = (Time to Breach / SLA Window) Γ Criticality
Risk Score = (Time to Breach / SLA Window) Γ Criticality
Total Penalty Exposure$840,000
π SLA Performance Trend
βοΈ Resource Optimization Agent
Monitor utilization, recommend consolidation, execute approved changes
Avg Tool Utilization
41%
β 59% waste identified
Consolidation Ops
12
Pending approval
Monthly Saving Opp.
$61K
β If all approved
Over-provisioned
34
Resources flagged
π₯ Tool & Infrastructure Utilization Heatmap
Average utilization % by tool and team β last 7 days
Low
High
Click cell to view details
π‘ Consolidation Recommendations
π Team Allocation Overview
π Change Execution Log
π° Financial Operations Agent
Reconcile transactions, flag discrepancies, produce variance analyses with root-cause attribution
Transactions Reconciled
4,821
98.2% match rate
Discrepancies Flagged
87
$1.23M total variance
Pending Clearance
34
Requires approval
Close Cycle Reduction
-2.4d
β vs manual process
π Transaction Reconciliation
| TX ID | Account | Expected | Actual | Variance | Status |
|---|
π Variance Analysis
Root-cause attributed financial variances
β
Approval Workflows
Enterprise multi-step approval for autonomous agent actions
π Playbooks
AI-generated actionable remediation playbooks
π Reports
Downloadable financial intelligence reports
βοΈ Settings
π Data Integrations
π€ Agent Configuration