Pinpoint one discrepancy
Compare the reported number with the expected result using synthetic or sanitized aggregate samples you are authorized to share.
- One existing client report
- Known dates and filters
- A documented expected result
BUSINESS AUTOMATION · REPORT RELIABILITY
Two reports disagree? Start with the specific number that looks wrong. We review the inputs and rules, agree a focused correction, and independently check the result.
Your existing tools first · Scope and quote after review
A FOCUSED FIRST SERVICE.
For agencies dealing with a disputed total or the same correction every reporting cycle. We start with dates, filters, definitions, and how the numbers are combined. A simple setting or platform-support fix may be enough.
Compare the reported number with the expected result using synthetic or sanitized aggregate samples you are authorized to share.
Agree on a focused formula, mapping, or aggregation change after reviewing the issue and how the change can be delivered.
Check the expected result and a separate comparison example, then document what your team should check next time.
AN ILLUSTRATION OF VALIDATION
This synthetic operations example illustrates traceable arithmetic and validation. It is not a customer result, a platform integration, or a proposal to replace your reporting system.
| Location | Revenue | Transactions | Reported hours |
|---|
The full demo uses a separate row-level fixture and accepts one normalized CSV with fixed fixture keys. It demonstrates calculations and exception handling only, not an AgencyAnalytics or Looker Studio integration. Revenue ratios do not establish profit or productivity.
Open the full validation demoTHE FIRST ENGAGEMENT
Show the specific number that disagrees, the comparison you expect, and what has already been tried. A sample review determines whether a bounded correction is feasible, how it could be delivered, and what it would cost.
Use the existing stack when the correction, capability, and approved access support it. A reviewed formula or mapping patch may instead be handed to your operator. A custom workflow is considered only when needed.
A specific outcome agreed before work begins
The quote follows sample review, an agreed delivery route, and a written scope. API or credential setup, production tracking changes, personal data, recurring monitoring, and report redesign are excluded. No payment is collected here.
HOW THE WORK MOVES
Reproduce the mismatch and check the definitions, filters, and expected result before proposing work.
Confirm the bounded correction, delivery route, permissions, quote, and acceptance checks.
Test the agreed correction and independently check the result and a comparison fixture.
Explain the original variance, document the change, and let the operator repeat the check.
ABOUT PRAGMENZA
We help people and businesses make recurring work more understandable and reliable. Start with a reporting mismatch or repetitive workflow. We combine clear requirements, suitable AI-assisted tools and human review to assess a focused improvement.
How we approach the workPRACTICAL DETAILS
Pragmenza brings practical intelligence to business problems, using suitable AI-enabled tools alongside clear requirements and human judgment. The broader ambition starts with one focused reporting-reliability service.
Start with the report and software already in use. A correction in the existing stack is preferred when feasible and within demonstrated capability. If platform support or a simple setting resolves the issue, that should be considered first. No new dashboard is assumed.
Different attribution rules, definitions, and reporting periods can legitimately produce different totals. The aim is an explained, independently checked result, not forced agreement. If no bounded repair is feasible, any diagnosis-only work must be separately described and agreed; a fix is not guaranteed.
Begin with authorized synthetic or sanitized aggregate samples, the relevant formulas, and expected control totals. Platform access is discussed only if the agreed delivery route needs it. This first offer excludes personal records, payment details, health or regulated data, and credentials.
AI-assisted tools may support analysis or development where appropriate and permitted. Tool choice depends on the task and approved data handling. Calculations and outputs still require independent checks and human review.
It illustrates schema checks, deterministic calculations, and visible exceptions for one normalized CSV. It does not demonstrate a native reporting-platform integration, customer reconciliation, specialist platform experience, or a production result.
The agreed correction or operator-applied patch is delivered with before-and-after evidence and a short check guide. Usage, ownership, acceptance, and any revisions are defined in the scope. Further work requires a new agreement; there is no automatic subscription.
LET’S START WITH THE PROBLEM
Send a short description. We’ll review whether the issue fits this service before agreeing a scope or quote.
Start without attachments. Leave out personal records, client identifiers, passwords, and sensitive data.
No account is needed for an initial inquiry.
Your inquiry is saved for the Pragmenza team to review. No work or price has been agreed yet.
Reference:
Protected with validation, a one-time form token, duplicate checks, and submission limits. No files or account access are needed.