enaudo
Reporting built on traceable figures
Reporting can be automated when metrics, sources and the reporting cut-off are clearly defined. The workflow combines data, checks completeness and prepares a report for approval. AI may comment on available figures, but must not invent missing values.
When this workflow helps
This example suits management teams that regularly assemble the same data from CRM, accounting and calendars. Before connecting systems, agree what each metric means. A confirmed booking, an issued invoice and a received payment are different events; they must not be combined into the same revenue figure without a defined basis.
The workflow, step by step
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Define the reporting basis
Record the period, cut-off, metric definitions and intended recipients for this run.
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Read the sources
Retrieve required data from authorised systems or exports and record its actual freshness.
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Validate the data
Check completeness, duplicate records and totals. Flag inconsistent or late sources.
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Prepare the report
Calculate metrics using explicit rules. Optional AI commentary refers only to the available values.
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Approve the report
ApprovalResponsible specialists review differences, commentary and recipients before sending.
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Distribute the version
Send the approved report with its source cut-off and version, and record delivery status.
Data, systems and people involved
- A metric register giving each measure a definition, calculation, period, source and responsible business owner.
- Checked read access or regular exports with stable linking fields such as job or customer identifiers.
- Rules for late data, later corrections, unusual differences and how missing values are displayed.
- Subject owners who confirm figures and interpretation. Recipients receive only the data needed for their role.
What runs automatically and who decides
Retrieval, combination and calculations following agreed rules can run automatically. Source systems supply the values; AI is an optional writing aid. A suspected cause is not presented as an established explanation. Responsible people decide whether an incomplete report may be released with a clear limitation or must wait for clarification.
Exceptions, errors and stopping points
- A source is missing: Mark it as missing, not zero. The agreed rule either holds sending or requires a conscious approval of the incomplete report.
- Totals disagree or records are duplicated: Show provenance and calculation details and route the issue for review.
- Data changes after the cut-off: Create a new version and identify the change. Do not silently overwrite a report that has already been distributed.
A useful first scope and acceptance check
Begin with a few metrics from clearly named sources. Compare a parallel trial report against a reference confirmed by the responsible specialists. Acceptance includes a missing source and a later correction. Every figure must trace back to its definition and data cut-off; sending stays on hold until approval.
Related workflows and implementation
Frequently asked questions
Can AI calculate the metrics itself?
The intended metrics are calculated from source data using explicit, verifiable rules. AI may summarise results in words. It is not the source for missing values or unchecked calculations.
What if accounting is not complete yet?
The data cut-off is shown explicitly. The agreed rule either holds the report or allows a deliberate release as an incomplete version. Missing values are not displayed as zero.
How can we compare weekly reports?
Definitions, periods and cut-offs need to be comparable. Calculation changes and later corrections are documented so they are not mistaken for operational developments.
Can reporting be automated without AI?
Yes. Data retrieval, validation, tables and distribution can follow fixed rules throughout. AI is useful only when reviewed written commentary adds value.
If a process is eating time in your team, describe it. We will say honestly whether automation is worth it.