AI for weekly reporting

The problem

Most growing companies run on a weekly report that someone builds by hand. A manager logs in to the CRM for pipeline, the accounting system for cash and revenue, the project tool for delivery status, and a few spreadsheets for everything else. Numbers get copied into a template, charts get rebuilt, and someone writes a paragraph about why things moved.

It takes a morning or more each week, often from people who should be running their teams. Small errors creep in: a filter left on, last week’s number pasted twice, a column that changed meaning. Because the report is late or uncertain, leaders ask follow up questions in Slack, and the same people spend more time answering them.

As the company adds tools and teams, the report gets longer and the work behind it grows with it.

What the AI setup does

1. Pulls the numbers on a schedule. Each week it reads the agreed figures from your tools, for example pipeline and closed deals from HubSpot or Salesforce, revenue and cash from QuickBooks, and delivery status from Jira, Asana or Linear.
2. Checks the data. It compares each figure with last week and with the source system, and flags gaps, sudden jumps and numbers that disagree between tools.
3. Drafts the commentary. For each section it writes a short plain explanation of what changed and the likely reason, drawing on notes, tickets and deal updates.
4. Builds the report. It fills your existing template in Google Workspace, Microsoft 365 or Notion, keeping your layout and charts.
5. Asks owners for the missing bits. Where context is needed, it sends the right owner a short question in Slack and adds their answer.
6. Routes for review. The draft goes to the report owner, who edits and approves it before it is shared.

Tools it works with

We connect to what you already use. Common sources are HubSpot or Salesforce, QuickBooks, Jira, Asana or Linear, and Airtable or Google Sheets. The finished report lands in Google Workspace, Microsoft 365 or Notion, with a summary in Slack. The setup reads data with access you grant and keeps everything inside your accounts.

How we would do it

Growing companies get an embedded operator on set days each week, paid as a monthly retainer by embedded days. The operator starts by sitting with the people who build the report today. Together we list every figure, where it comes from, who owns it, and which ones leaders actually read. Usually some sections can be dropped.

The first automation is live in week one, often a single section such as pipeline or delivery status, drafted alongside the manual version so you can compare them. We add sections one at a time until the full report is drafted automatically and reviewed by a person. Each week you get a report of hours returned. Our estimate for a company with several teams contributing to a weekly report is 20 to 40 staff hours a month, depending on how many tools and sections are involved. The minimum commitment is one month.

What stays in your hands

You approve everything. Every report is reviewed and approved by a named owner before it is shared, and you decide which figures and sources count as correct.

You own the setup. The queries, templates, schedules and instructions live in your accounts, with no licence fees after the engagement. We keep only anonymized patterns about how reporting work gets done, never your financial or business data.

Mistakes are treated seriously. A wrong figure or explanation is logged and fixed the same day, and that workflow pauses until the cause is fixed. You see every error in the weekly report.