Data entry automation
Move information from approved sources into systems of record with validation, duplicate controls, review, and reconciliation.
Reporting automation should make the source, calculation, exception, reviewer, and distribution state visible instead of turning an unexplained spreadsheet into an unexplained dashboard.
Automate recurring reporting by defining the report owner and audience, connecting only named sources, recording each source cutoff and freshness state, applying versioned calculations, reconciling expected totals, routing missing or conflicting inputs, and distributing the report only after its approval state is clear.
Recurring reports often depend on manual exports, copied formulas, private notes, late inputs, and an operator who remembers which discrepancies matter. Automating the visible report without making those dependencies explicit can distribute an error faster. The operating path must include collection, validation, calculation, review, publication, and correction.
Different parts of a report need different controls. Deterministic code should handle stable calculations and reconciliations. AI-assisted drafting may organize explanations or summarize named exceptions, but it should not invent a cause or decide that a missing source is immaterial. A person remains accountable for conclusions and distribution where judgment is involved.
Published Reviewed
Write the report name, owner, audience, cadence, reporting period, cutoff, expected sections, source systems, measures, filters, and approved outputs. Identify which system controls each measure and how corrections after cutoff affect the current and prior report.
Capture source retrieval time, source period, freshness, row or record counts, and available source version identifiers. A successful connection does not prove the data is current or complete. The workflow needs an explicit state for unavailable, stale, partial, and unexpected source data.
Keep transformations, mappings, exclusions, rounding, currency treatment, and calculated measures in reviewed versioned logic. Record the version used for each report. If a business definition changes, state when the new definition applies and whether prior periods will be restated.
Use control totals, known balances, prior-period continuity, record counts, and cross-source comparisons to surface discrepancies. Reconciliation should create an owned exception with the values and source context required to investigate it, not merely record that a check failed.
The workflow can prepare tables, charts, exception lists, and a draft narrative from approved records. Link or cite the supporting measures used in each generated explanation where practical. Hold unsupported explanations, material anomalies, and missing context for the report owner.
Define approval states for data readiness, calculation readiness, commentary, and final distribution. The same person may fill several roles in a small company, but the system should still record which decision occurred and whether a correction requires a new version.
Assign a report identifier and version. Distribution should use an approved recipient set and channel, record the released artifact, and prevent a retry from sending a duplicate. Drafts and superseded versions need clear labels so readers can identify the current report.
Define how the owner withdraws, corrects, republishes, or annotates a report. Preserve the original sources, calculation version, approvals, artifact, and distribution record required to explain what readers received. Recovery should handle a failed publication without repeating completed delivery.
Confirm source, calculation, review, release, and correction controls before the first automated reporting cycle.
The owner, audience, cadence, period, cutoff, and output are written.
Every measure has an authoritative source and approved definition.
Source freshness, completeness, and retrieval evidence are recorded.
Calculations, mappings, exclusions, and rounding rules are versioned.
Reconciliation failures create owned exceptions with source context.
Generated commentary remains traceable to approved report facts.
Approval and distribution states prevent premature or duplicate release.
Correction, supersession, withdrawal, and failed-delivery recovery are tested.
A report is dependable when its owner can identify the sources, definitions, checks, exceptions, approvals, and released version. Automation should make that record easier to inspect while reducing repeated collection and assembly work.
Start with one recurring report whose source and approval boundary are understood. Expand to more measures or audiences only after late data, conflicts, corrections, and failed delivery have known operating paths.
Reference record
A Managed AI Workflow fits when the report, sources, owner, cadence, and approval boundary are already known.