AI & automation, in practice
Your team spends weeks on work AI can do in seconds.
These are real systems, built and running in real companies. At one of them, AI now gives back 2,866 hours a year for about $200 a month. Browse what's possible, shortlist what fits your business, and we'll send you the details.
No jargon, no projections: every figure comes from a system that is already running.
Common assumptions
Step 1 · Explore
What would you like to achieve?
Filter by goal or department, open any card for the before-and-after, and tap Shortlist on anything worth a conversation.
No match for that combination.
Step 2 · The numbers
One company. Ten measured solutions. 2,866 hours a year.
This is the measured part of one AI portfolio at a regional group of 600+ people, built in under a year. Hours are counted on the manager's own basis (8-hour days, 22 working days a month). Anything that couldn't be measured honestly counts as zero.
- ≈ 1.4full-time roles of capacity returned
- $0.84of AI tooling per hour returned
- 2projects retired on purpose, and said so openly
The biggest item is order entry: one person's full working week, 52 weeks a year. It's capacity redirected, not a job cut; that person now sells. Solutions that created a new capability, like the supplier portal, are counted as zero hours.
Step 3 · How we'd work
From "what's possible?" to something your team uses
- 1
Pick
Shortlist what caught your eye on this page. That tells us where to start.
- 2
Map
A short conversation to find where your team loses the most time or takes the most risk, and rank what's worth doing first.
- 3
Prove
Build one small pilot on real data. Measure hours or errors before and after, the same way the numbers above were measured.
- 4
Scale
Roll out what works, train your people, and put monitoring in place so it keeps working when nobody is watching.
Your data stays yours
Private AI on your own servers where it matters. Access scoped per person and per role.
A person approves
Anything that sends, pays, deletes or calls a customer waits for human sign-off.
Measured, not promised
Every solution gets a before-and-after number, or it doesn't get claimed.
Built to keep running
Monitoring, backups and written runbooks come as standard, not as extras.
Who we are · Atronix
A small team that helps small companies put AI to work.
We find the work that's eating your team's time, build the fix, train your people to use it, and make sure it keeps running.
The solutions on this page come from real companies, many from inside a regional group of 600+ people. We take what worked there and size it for businesses that don't have an IT department to spare.
Small on purpose
No layers of account managers. You explain the problem once, and the same small team sees it through, from the first call to the day it runs on its own.
Working systems, not slide decks
Every solution on this page was actually built, and most are running today. We'd rather show you a working pilot on your own data than a strategy document.
Straight answers
What it does, what it costs and what it saves, in plain language. And if a simpler fix beats AI, we'll tell you.
Seen something you want for your business?
Shortlist it, then send us the list. You'll get details for your situation, not a generic brochure.