WORKFLOW GUIDE / WEEKLY REPORTING

A useful weekly report starts with numbers you can check.

Collecting updates can take longer than reading them. A small reporting workflow can prepare a consistent snapshot, while keeping the source, calculation rules, and optional AI narrative separate.

Calculate first. Summarize second.

Read an agreed source: use a defined table, report, or other verified integration, within an explicit reporting window and timezone.
Validate and calculate: check required fields and identifiers, then use deterministic rules to count, total, and compare.
Draft a narrative, if useful: provide the calculated figures to AI for a short summary, not for fresh arithmetic or invented explanations.
Review before use: show the source reference, refresh time, exceptions, and calculation definitions with the result.

This is a design pattern, not a claim that your current tools are connected. Source access, action count, and the actual free-pilot scope are verified before any implementation.

A small, transparent example

SYNTHETIC EXAMPLE · NO LIVE BUSINESS DATA

Sample source for one week

Four unique new inquiry records dated inside the reporting window.
Three distinct estimate-sent events in that same window.
Two distinct job-scheduled events in that same window.
One estimate record flagged as awaiting photos.

Calculated output

New inquiries: 4. Estimates sent: 3. Jobs scheduled: 2. Open exception: 1 awaiting photos.

Optional narrative for review

“The sample week recorded four new inquiries, three estimates sent, and two jobs scheduled. One estimate needs photos before the team can move it forward.”

These are separate activity counts, not a conversion funnel. The example does not assume that this week’s scheduled jobs came from this week’s new inquiries, and it does not infer revenue or business performance.

Freshness is part of accuracy

A report should state when the source was read and which dates it covers. An old snapshot must not quietly look like a current one. If a source cannot be refreshed, the output should identify the stale or missing section, or stop until the issue is reviewed.

Define how the workflow handles duplicate rows, missing dates, canceled items, timezone boundaries, and late edits. A small discrepancy should be visible instead of smoothed over by confident prose.

Where AI helps, and where it does not

AI can make a verified set of figures easier to read. It should not decide the business’s accounting rules, silently repair source records, attribute a change to an unproven cause, or make a financial decision. A reviewer should be able to trace every reported figure back to the calculation and source.

The free pilot excludes sensitive financial records and regulated decision-making. Start with low-risk operational counts. No automated distribution, ongoing monitoring, or support commitment is implied by this example.

Choose the smallest report worth repeating

Bring one recurring question, one suitable source, a few agreed metrics, and a person who can validate the output. A broad dashboard across multiple systems may need a separately scoped project.

Read the free pilot boundaries, or explore lead intake automation if the repetitive work starts earlier in the process.