The product
A real verification run, not a promise.
This is how a check is built: the rule is assembled in the visual editor, the run checks record by record, and every deviation is recorded with its cause.
Rule set · capital-gains tax
- IF a partial exemption applies
- THEN capital-gains tax = capital gain × tax rate − exemption
- ELSE capital-gains tax = capital gain × tax rate
Assembled visually in the rule editor, without SQL. SQL is available for edge cases.
Latest run
15,847 records checked
One deviation, classified as a calculation-rule deviation in field kest_betrag.
Illustrative example, synthetic values.
Progressive verification
Start small, expand release by release.
You do not need a rule framework before SQACE pays off. Verification grows step by step.
A first regression test on day one, with no rule framework.
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Regression
Compare today's run against the last. Every change becomes visible, with no rule framework.
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Rule sets
Capture business rules in the visual editor and validate them on real data. Without SQL.
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Expected/Actual
Set the expected result, a second rule-based calculation, against the actual and classify deviations.
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Automated
Run it as a scheduled, CI/CD-triggered suite and track it across runs.
Inside the product
What SQACE brings.
Visual data access
Connect sources and join data in the Easy Query builder, without SQL. The generated SQL stays inspectable.
Business rule sets
Capture rules in the editor and validate them on real data. SQL is available for edge cases.
Expected vs actual
Set the expected result, a second rule-based calculation, against the actual, down to field and rule level.
Deviation classification
Deviations are classified, explained and tracked across runs, not just red or green.
Audit trail and versioning
Every run is reproducible, versioned and traceable in the audit trail.
AI-assisted rule translation planned
In the future, AI will suggest rule expressions from a business description, with a human in the loop. Today you author rules yourself.
See the verification run on your data.
In a demo we show the expected-vs-actual comparison on one of your use cases. Or we scope a proof of concept together.