Before
Files exported, cleaned, renamed and combined by hand before every review.
After
The package builds itself to the same standard, and the reviewer is told when it is ready.
Someone gathers, cleans and formats files so a manager or a client can review them. The package is ready before the reviewer asks for it.
Before a review, someone pulls the files together. Export this, remove those columns, rename that, combine these, put it in the folder, tell the reviewer it is ready. The reviewer is senior and the preparation is not, so a junior person does it every time.
It is done differently each time, so the reviewer spends the first ten minutes working out what they are looking at. When it is late, the review is late.
Call a fully loaded employee $45,000 a year, as an illustration. Preparation typically takes 5 to 10 hours a week. Ten hours is a quarter of a person, spent getting files ready for someone else to look at.
Typical figures, using $45,000 as an illustrative fully loaded cost. Your numbers go in the calculator below. If your version is a couple of hours a week, that still counts.
We build a job that assembles the package on a schedule or at the press of a button. It pulls the files from where they live, applies the cleanup rules, formats them to your standard, and puts them where the reviewer expects them, with a note that they are ready.
The package looks the same every time, so the reviewer starts with the review. If a source file is missing or does not look right, the job says so instead of producing a half-finished package.
Plain automation handles most repetitive work. We use newer tools only where they clearly earn their place, and we tell you when we do. Preparing files does not need them.
What the person gets back is the preparation. The reviewer gets a package that is ready when they are.
Is this AI?
This is plain automation. No AI. Gathering, cleaning and formatting to a known standard is a set of rules.
What business automation actually costsBefore
Files exported, cleaned, renamed and combined by hand before every review.
After
The package builds itself to the same standard, and the reviewer is told when it is ready.
Real work from real clients, with the names left out. What matters is the shape of the problem, and how often we see it.
This kind of project
A focused version may be a small project
A handful of exports with clear cleanup rules and a fixed layout is a small project. Scope grows with the number of sources, with cleanup that needs judgment, and with packages that differ by reviewer.
Set to the typical figures for this task. Change them to match your team, however small the number.
Hours a week, times the people doing it, at whatever a person costs you. $45,000 a year is an illustration; set it to your own figure.
People doing this work
1
Hours each, per week
Half an hour counts. 40 is a full week.
10
Fully loaded cost per person, per year
Salary, benefits, taxes, overhead. $45,000 is an illustration; set it to yours.
$45,000
Time spent on this task
10 hrs / week
About 520 hours a year of a person's time.
These figures show the value of time spent on the task, not a project quote or guaranteed cash savings. We will help estimate what can realistically be automated.
Every morning, every Friday, or every time an order comes in. Small tasks and larger workflows are both welcome. The evaluation is free, and if we take it on, first deliverables are running in your operation within 30 days of kickoff.
Free evaluation. Fixed quote before work begins.
Automation, AI where needed
Automate renaming, sorting and filing documents that arrive by email
They land in the right place, named the right way, the moment they arrive.
Plain automation
Automate anything your team does from a checklist every day
The routine steps run on their own. The person handles the two that need a decision.
Everything we automate
Fourteen tasks, each with what it takes today, what we build instead, and what shapes the scope.