Reports are assembled after the decision window has moved.
Case study
Management Reporting Automation
Reports are built after the decision window has moved.
Operating problem
What keeps breaking.
KPI definitions vary across teams.
Source data needs manual cleanup.
No one owns report freshness.
Build model
The work becomes a clearer system.
Collect data from source systems, clean it, calculate KPIs, and refresh management views.
Operating path
Sources connect, KPI logic runs, dashboards refresh, exceptions highlight, and review is scheduled.
AI/product layer
Explain the variance, identify the source issue, and draft the review note.
Reusable improvement
Repeated report questions become KPI definitions, data checks, and review rules.
Workflow
The sequence becomes explicit.
Sources connected
Data validated
KPIs calculated
Dashboard refreshed
Exceptions highlighted
Review scheduled
Capabilities
What the system needs.
Data pipeline
KPI definitions
Validation rules
Refresh schedule
Exception dashboard
Connected tools
Where the system fits.
Accounting systemBusiness suiteSpreadsheetBI dashboardCustom dashboard
Implementation path
Better decision speed and visibility.
Step 1
Define management questions
Step 2
Map source systems
Step 3
Create KPI logic
Step 4
Build and validate dashboard refresh
Build Management Reporting
Tell us where this work currently breaks. We will map the first useful AI/product build path.