Keep a consistent format
Produce the same kind of response or document each time.
Tailored AI writing
Make repeat tasks more consistent.
LLM fine-tuning means teaching an AI writing tool with examples from one kind of task. We first check if you need it, then test it before your team uses it.
01 / Your week
The problem
- 01
Your team keeps correcting the same kind of draft or label.
- 02
A general AI tool misses a repeatable rule that matters to your business.
02 / Examples
How we help
Sort specialist requests
Recognize the categories your team uses and send requests to the right place.
Read repeated forms
Pull agreed details from a type of document you handle regularly.
03 / The work
What you get
Included
- Advice on whether teaching an AI tool is worth doing for your task
- A tested version for the agreed task, if the examples support it
- Results you can review and instructions for changing or switching off that version
How we work together
- 01
Check the fit
You show us examples of the task and the mistakes that matter. We check whether a simpler setup already solves it.
- 02
Prepare and test
You approve the examples we can use. We teach a new version and test it on examples kept aside for checking.
- 03
Review and hand over
You review the results before use. We show the person you choose how to check it and return to the earlier version.
04 / Your control
How you stay in control
- A person approves the new version and any important actions it supports.
- Your team can switch it off or return to the earlier version.
- You can see test results and what the version did.
- A named person is responsible for reviewing errors and later changes.
05 / Questions
Common questions
Do we need to teach an AI tool to do this?
Maybe not. We first check whether clearer instructions or access to your documents can solve the task.
What do you need from us?
Real examples of good and bad results, your business rules, and permission to use the agreed examples.
What if the new version performs worse?
We do not use it until you approve the results. If a problem appears later, your team can return to the earlier version.
Your next step
Tell us what takes up your team's time
We will talk through the task and help you choose a first step.
Book a consultation
We reply within one business day with next steps.