Build your weekly numbers report with an AI agent
A Monmo agent can produce your weekly numbers report. Every Monday it pulls the figures from Google Sheets and Google Analytics, checks that the totals add up, compares them with last week and last year, charts the changes and explains what moved. If a check fails, the report says so at the top. Posting it to Slack waits for your approval.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
How the agent does it
- 01
You choose the numbers and the day
Decide which six or eight numbers matter, where each one lives and what it means: is an order counted when it is placed or when it ships? Then set the time, for example every Monday at 8:00.
- 02
It pulls the figures
The agent reads the named tabs in Google Sheets, such as Orders 2026, and runs the Google Analytics reports for last week, the week before and the same week a year ago. Nothing is typed in by hand.
- 03
It checks before it trusts
Row totals are added again, missing days and duplicate rows are looked for, and orders in the sheet are compared with purchases in Google Analytics. A gap above the limit you set, say 2%, is reported, not smoothed over.
- 04
It measures the change
Each number is compared with last week and with the same week last year, as an amount and a percentage. The agent also marks which changes fall outside the range of the previous eight weeks.
- 05
It draws the charts
It draws a thirteen-week line for each number and a bar chart by channel, with labelled axes and bars that start at zero. Charts are saved as images and added to the report.
- 06
It explains what moved
For each notable change it looks one level down: which channel, product or country moved. It writes what the data shows and labels anything further as a possible reason, so you can tell a guess from a finding.
- 07
It delivers the report
You get the one-page report in chat first, and a copy is kept in the Library. A card then asks to post the summary and charts in a Slack channel, such as #weekly-numbers. You read it, then allow it.
What the Monday report contains
- A one-page report: each number with its change on last week and last year
- Charts of the past thirteen weeks and a breakdown by channel
- A plain explanation of what moved, with guesses marked as guesses
- A checks section that says what was verified and what did not match
- A link to the data behind every figure
When it asks you
The report is built without any approval and comes to you before anyone else: pulling figures, checking them and writing are all reading and drafting. Posting it in a Slack channel or writing the week's figures into a shared Google Sheet asks first, with a card that shows what will go where.
How to ask
- Every Monday at 8:00, build the weekly report: revenue, orders, new customers, sessions, conversion rate and refunds. Use the Orders 2026 sheet and Google Analytics. Compare with last week and the same week last year.
- Before you report, check that orders in the sheet are within 2% of purchases in Google Analytics. If they are not, say so at the top and show me both numbers.
- Conversion rate fell last week. Break it down by channel and by device and tell me what the data shows and what it does not.
Questions people ask
Can an AI agent build a weekly report automatically?
Yes. You agree the report once as a routine: which numbers, from which sheets and analytics property, and when. From then on a Monmo agent pulls the figures on schedule, checks them, charts them and writes the summary without being asked. It keeps working after you close the app, and you can change the numbers or the time by telling it.
Can I trust the numbers in a report an AI agent built?
Each figure links to the sheet or analytics report it came from, and a checks section lists what was verified: totals re-added, missing days, duplicates and whether two sources agree. When a check fails, the report says so at the top and shows both numbers. The agent reports what it checked; it cannot vouch for data that was entered wrongly at the source.
Can it explain why a number changed?
It can show where the change came from. The agent breaks a number down by channel, product, country or device and points to the part that moved. It marks anything beyond that as a possible reason. It does not know about things outside the data, such as a campaign or a price change, unless you tell it or keep a log it can read.
What data sources can the report use?
Google Sheets and Google Analytics are the examples here. The same report can read Excel files, CSV exports and other apps in the directory, such as a store, a payment system or a CRM, through your own accounts. For a dashboard with no connection, the agent can open it in its own browser and read the figures from the page.
Can the report go to email or slides instead of Slack?
Yes. The same content can be drafted as an email to a list of people, saved as a PDF, or turned into a short slide deck for a Monday meeting. Sending the email or posting anywhere your team can see asks first. Files the agent builds for you are kept in the Library without an approval.