Each system has its own truth
The CRM tracks opportunity motion. Finance tracks billing and payment. Spreadsheets often track the exceptions that never fit the process.
None of those systems is automatically wrong. They are optimized for different jobs.
- CRM may count pipeline before money exists.
- Finance may count revenue after billing rules apply.
- Spreadsheets may include manual corrections that never sync back.
Definitions create the conflict
Most reporting conflict comes from a few definitions: customer, account, revenue, owner, stage, date, and status.
If those terms are not mapped, AI will inherit the disagreement. It may summarize the conflict beautifully, but it will not solve it.
A trusted answer path makes the rules visible
Reconciliation should not hide the rule. It should show the rule.
When a report says revenue by customer, the team should know which source won, which exceptions were applied, and which records still need review.
| Conflict | What to decide | What AI needs |
|---|---|---|
| Two account names | Same company or separate? | Entity match rule |
| Two revenue dates | Booked, billed, or paid? | Date definition |
| Manual spreadsheet override | Temporary or canonical? | Approval trail |
Start with the painful answer
The fastest path is not to reconcile everything. Pick the answer that causes the most wasted time.
If leadership asks for it every week and three teams produce three versions, it is a good first Dataware project.
FAQ
Why do our reports not match?
They often use different source systems, timing rules, and definitions for the same business concept.
Can AI fix conflicting reports?
AI can help explain and query data, but the underlying definitions and reconciliation rules still need to be made explicit.
Next step
Use the guide, then pick the first answer your team needs to trust.