Free guide · 01
Instead of opening several systems, moving between reports and assembling the picture yourself, you get one clear, ordered morning briefing.
What if your business is not losing customers because of the product, the price or the competition, but because important information keeps falling through the cracks?
An enquiry that waited far too long for an answer.
A change in revenue nobody noticed in time.
A marketing activity that quietly stopped producing results.
A negative review that needed a response.
These are rarely complicated problems. The real difficulty is tracking everything happening in the business consistently, while also running it.
This is where an AI team member can help.
The Business Intelligence Officer is an AI team member whose job is to give business owners a clear picture of what is happening inside the business.
Instead of opening several systems, moving between reports and trying to connect the pieces yourself, you get one clear, ordered morning briefing.
The team member can review information such as:
It then gathers everything into a concise report that can land in your inbox before the working day starts.
An ordinary chat tool waits for you to ask it a question.
An AI team member is given a defined role, information about the business, clear responsibilities, access to the data it needs, and instructions explaining when and how to do its work.
The Business Intelligence Officer does not replace the CEO or the business owner. Nor is it meant to make strategic decisions on its own.
Its job is to prepare the information required for better decisions.
The AI handles the tracking, the organising and the first pass of analysis.
The CEO stays responsible for judgement, priorities, strategy and the actions that follow.
The operational information of the business lives, for example, in Google Sheets.
The team member reviews the latest data, identifies meaningful changes, and prepares an ordered briefing in a Google Doc.
The briefing can then be sent by Gmail at a fixed time.
A useful daily briefing can answer four questions:
The result is not another system you have to remember to check.
It is a finished summary that helps you start the day with context, order and clarity.
The value of the team member is not only in cutting repetitive work.
It changes when the information reaches you.
Instead of discovering a problem several days after it appeared, you can spot it earlier. Instead of relying on information scattered across systems and files, you get a consistent business picture in one place.
The AI does the preparation work.
The human stays in the CEO's chair.
This is the first article in the AI team members series. In the next one I will introduce another role, built to lift a permanent operational load off a growing business.
Start with a system that lets you add instructions, attach files or connect data sources.
For example:
The capabilities and available connections differ from system to system.
In the example here I used Claude.
Copy the following prompt and paste it into the system you chose:
Your role is to be my business intelligence officer. Every morning before 7am, pull the latest data from my Google Sheets covering leads, revenue, reviews, marketing performance, and team performance. Analyze the numbers, identify what needs attention today, and highlight the biggest opportunity available right now. Compile everything into a clear structured daily briefing and send it to my Gmail.
Add links to the sheets holding the information you want the team member to analyse.
You can connect several different sheets, for example:
Make sure the system you chose has the right permission to view the files.
Connect only the information needed to prepare the briefing. Avoid sharing personal or sensitive data that the task does not require.
Connecting the files on its own is not enough.
Explain what appears in each sheet, how the data is arranged, and what matters to you.
For example:
The clearer and better organised your instructions and data are, the more useful and accurate the briefing will be.
Start by running it manually, check the result, and confirm the team member is reading the right columns and interpreting the data the way you intended.
Only once you have checked the result should you set up a recurring or automated process, depending on what the system you chose can do.
02 Next step
If you want to assemble an AI team that fits the way your business actually works, let's talk.