Problem
Slow, painful reporting
Reports take days, arrive late, contradict each other or get rebuilt every month from scratch. The data exists but it is scattered, and the work to assemble it is mostly manual.
What this problem looks like
Multiple people rebuilding similar reports in different tools.
Numbers that do not tie out across teams.
Decisions waiting on a refresh that always slips.
Why it costs time, money and control
Late or inconsistent reporting forces guesswork, slows the business and reduces trust in the numbers. It also locks senior people into manual data work they should not be doing.
Where the workflow usually breaks
- Source systems do not agree on definitions or timing.
- Exports are manual and brittle.
- There is no clear owner for the report itself.
How AI can help without over-automating
AI can pull and reconcile data from multiple sources, draft narrative around the numbers and flag anomalies for a human to check. People still own definitions, sign-off and what gets communicated.
Systems usually involved
- Spreadsheets
- BI tools
- ERP / finance
- CRM
- Ecommerce platforms
- PIM / WMS
What value looks like
Shorter reporting cycles, fewer reconciliation rounds, a single agreed view of routine metrics and less senior time spent assembling rather than interpreting.
Where this connects