September client update
32
enquiry-form submissions
35 last month
C$2,400
ad spend
C$2,000 last month
What changed: New service-area ads launched September 15.
Next: Check enquiry quality and review the new area before recommending changes.
AI setup for small teams
Reports, updates, and repetitive admin shouldn’t take over your day. We start with one job and build a setup your team can use.
| Month | Spend | Forms |
|---|---|---|
| Aug | C$2,000 | 35 |
| Sep | C$2,400 | 32 |
New service-area ads launched September 15.
Check enquiry quality. Review the new area separately.
32
enquiry-form submissions
35 last month
C$2,400
ad spend
C$2,000 last month
What changed: New service-area ads launched September 15.
Next: Check enquiry quality and review the new area before recommending changes.
A client asks, “How did this month go?” Here’s an example of the draft an agency could prepare from its numbers and notes.
Illustrated example with made-up data, not a live product demo.
Numbers + notes a draft client update
Before: the numbers and notes
These counts are form submissions, not qualified leads or sales.
Account note: New service-area ads launched September 15.
Agreed next action: Check enquiry quality and review the new area separately.
After: a draft to check and send
Draft for review
September
32 enquiry-form submissions, compared with 35 in August. Ad spend was C$2,400, up from C$2,000.
Ads for a new service area launched September 15.
Check the quality of the enquiries and review the new area separately before recommending changes.
The launch is context, not an explanation of the change in results.
Your team checks the figures, adds its judgment, and sends the final update.
What’s included
You bring the job you keep repeating. We work out the setup, build it, and show your team how to use it.
We agree what the task needs to do and check how it fits with the tools and information you already have.
We try the setup on real examples from your business, check the output together, and make the agreed changes.
Your team gets simple instructions and a walkthrough: how to use it, what to check, and what to do when it needs attention.
We agree the price, any software costs, and the timeline before you commit. If you want help afterward, we can discuss support separately.
Our approach
Three steps, starting with the work itself.
Walk us through what you do today. Bring an example of the finished work and tell us where the time goes.
Decide on one job and the cost
We put the setup together and try it with your business examples. You check whether the output is useful.
A setup to try with your team
We walk your team through it and leave clear instructions. You know how to run it and check the work.
Instructions and a team walkthrough
The person behind Axion
Based in Toronto.
Tell me which task keeps coming back, show me what the finished work should look like, and we’ll talk through a useful place to start.
FAQ
A few practical questions.
We work with small teams, including agencies and local service businesses. The starting point is a job you repeat often, like pulling a report together or drafting an update. We talk it through first to see whether AI is a useful fit.
That’s a good place to start. We look at what you already use before suggesting anything new. Sometimes the useful change is setting up an existing feature or joining up the steps around it.
Your team reviews drafts before sending them. For a client report, your specialist checks the figures, adds their judgment, and sends the final update. Any further actions are discussed before setup.
Start with a description of the task and an example of the finished work. Before building, we agree which information and access are needed. Please leave passwords and sensitive customer information out of the first enquiry.
The price depends on the task and the setup. We agree the work, price, any software costs, and timeline before you commit. There’s no fixed price or automatic monthly contract.
You get simple instructions and a walkthrough for your team. If you want help keeping the setup working or changing it later, we can discuss that separately.
No. We test the setup with your examples and show your team what to check. AI can still make mistakes, so a person reviews the work before it is used.
Let’s talk
Tell us what your team keeps doing by hand. We’ll talk through whether there’s a useful setup for it.
Prefer to write it down?