AI can build a dashboard in minutes. Who makes sure it's right?
A new dashboard looks convincing. But does its revenue mean the same thing as Finance's? The faster reports get built, the more the definitions behind them matter.
Sound familiar?
A convincing answer can use the wrong definition.
Well-written SQL does not tell you what your business means by revenue, churn or an active customer.
More output means more to check.
Every generated dashboard can repeat an old calculation or invent a new one.
Nobody signed off the answer.
A plausible explanation still needs someone who owns the number to agree it.
How Reperta helps
- 1
Read what was built
Reperta reads the logic in AI-built reports the same way it reads everything else, and compares it with what already exists.
- 2
Agree what the metric means
The owner reviews the versions and publishes one definition for everyone, people and AI tools alike.
- 3
Put AI to work on the fixes
Reperta's own AI investigates problems and drafts corrections from the agreed definitions, for your team to approve.
See the calculation behind every number. Every KPI, formula and measure Reperta finds, with the ones calculated more than one way called out.
Northwind: the arguments already exist
Before any AI tool was involved, Northwind Group already had 8 metrics calculated more than one way. A dashboard generator would have picked one at random. Agreeing them first gives every new report the right answer.
What you get
- The logic behind AI-built reports, laid out plainly
- One owner-approved definition per metric
- New reports checked against what was agreed
- AI-drafted fixes that your team reviews and approves
Questions
Does Reperta govern every AI tool we use?
Reperta focuses on reporting: the calculations, the definitions and who owns them. It reads the reports your AI tools produce, wherever they land in your sources.
Can AI approve a business definition?
The owner of the number approves it. AI helps with the investigation and the drafting.
Related guides
An AI-generated dashboard still needs a business definition
A practical review of analytical logic: meaning, timing, grain, source evidence and approval. Better questions before trusting the next convincing dashboard.
Read the guideWhy your numbers don't match: one KPI, four definitions
How one KPI drifts into several definitions across the business, why that becomes a programme risk during a transformation, and how to get to one agreed number.
Read the guideOther places teams start
All use cases- Conflicting numbersOne agreed definition for every metric
- Ongoing reporting healthStay right as reporting changes
- Dashboard sprawlKnow what you have before you build more
- Spreadsheet reportingFind the workbooks the business runs on
- Fixing known problemsTurn findings into fixes that stick
- ModernisationDecide what to keep, fix, retire or rebuild
- Moving to Power BIMove what matters and leave the rest behind
- Retiring SSRSSwitch off the old server without surprises
Bring the number nobody can explain.
Book a 30-minute demo. We will show you how Reperta finds what is behind it, fixes it and keeps it right.