Review before critical decisions
Anything that commits the business — a figure that goes out, a document that gets sent, a record that gets changed — waits for a person.
The process
Four steps, in order
Each step is small enough to stop after, and useful enough to be worth doing on its own.
01
Show us the process
We learn how the task works today, what information it uses, who is involved and where the team spends time. Usually this means watching someone do it once and looking at the real files — not a flowchart of how it is supposed to work.
02
Identify what AI should automate
We separate repetitive machine-suitable work from decisions and checks that should remain with people. Some steps are obvious candidates. Some should never be automated, and we will say so.
03
Build a focused pilot
We create a working automation around one clearly defined workflow, and run it against your real work so you can judge it on output quality rather than on a demonstration.
04
Measure, improve and scale
If the pilot creates value, we improve it, integrate it into the systems around it and expand into additional workflows. If it does not, you have spent a little and learned something specific.
Today
Current process
Manual, repetitive, and consuming hours that could go elsewhere.
Step 1
Workflow review
What could realistically be automated, and what should not be.
Step 2
AI automation pilot
One scoped workflow, built and tested on real work.
Always
Human review
Your team approves the output before it is used.
Step 3
Production workflow
Running as a normal part of how the business operates.
Engagement model
Each stage earns the next one
We prefer proving the value of one workflow before attempting large AI transformation programmes. Nothing commits you to the stage after it.
Stage 01
Workflow Review
Identify one meaningful automation opportunity and confirm it is worth doing. Free, and it ends with a straight answer either way.
Stage 02
Automation Pilot
Build and test one clearly scoped workflow against real work, with a defined scope and a defined end point.
Stage 03
Deployment
Integrate the successful automation into the business, connect it to the systems around it and hand over how it is run.
Stage 04
Improve and Expand
Refine what is already running, or start the same process again on the next workflow worth automating.
What you bring
A process and the people who run it
- One process that repeats often enough to be worth fixing
- Access to the real files and systems it touches
- Some time from the person who actually does the work today
- A view on what "good output" looks like
What you don't need
Any of the usual prerequisites
- An AI team, a data science team, or anyone with an AI job title
- A new data platform or warehouse to be stood up first
- To understand how the technology works underneath
- To replace the systems and software you already use
- A long procurement process before anything can be tried
If any of those were required, this would be a very different kind of project — and a much worse first one.
Trust and control
Automation with control, not AI running your company
Automating a task does not mean handing over the decision. Every workflow we build is designed around where a person has to stay involved.
Transparency and traceability
Every output can be traced back to the document, cell or record it came from, so it can be checked rather than taken on trust.
Controlled access to data
A workflow reaches only the files and systems it needs for its job, agreed with you before anything is built.
Clear workflow boundaries
We define what the automation does and what it never does. Cases outside those boundaries are flagged for a person, not guessed at.
Commercials
How pricing works
The workflow review is free. Beyond that, we scope and price each pilot against the specific process, because the effort depends entirely on what the work involves — how the documents arrive, how much variation there is, and what it has to connect to.
We would rather understand your workflow first and give you a number we can stand behind than publish a package that turns out to fit nobody.
- Workflow review — free
- Pilot — scoped and quoted per workflow
- Deployment — quoted once the pilot proves out
- Ongoing support — agreed as needed
Next step
Tell us about one repetitive process
Bring us the job nobody enjoys doing. We will tell you whether it is a realistic candidate for automation, and what the first step would cost.