Hours come back to your team
Work that is repetitive, rule-based and high-volume is where automation pays, and it is found by measuring the process you run today.
Evaluate document and enquiry tasks before automating them.
We test bounded extraction, classification or transfer work with approved examples and an explicit path for uncertain results.
A few clients we’ve worked with
What we do
We test bounded extraction, classification or transfer work with approved examples and an explicit path for uncertain results.
Decisions that shape this work.
A correctly copied number may still have the wrong unit or revision context.
Uncertain document output must not silently become an approved specification.
What automation is worth, and where it is not.
The expensive mistake is automating the wrong step convincingly. The value is real, but it comes from measuring the process before building anything.
You find out before you commit
Where the technical risk is high, the approach is tested against your real inputs before a build is scoped.
The output can be checked
An automated step nobody can verify is a liability, so review points are part of the design.
What AI automation includes.
The work uses approved product and capability records. Engineering and commercial owners verify specifications, document revisions and the permitted use of business systems.
Task baseline
Document the manual process and expert judgement points.
Evaluation set
Compare output with labelled source examples and expected units.
Review controls
Route incomplete or uncertain results to responsible staff.
What clients say.
Reviews from the companies we have built and maintained websites for.
Read every review on Clutch“They delivered what they said they would, on time.”
“We didn’t choose them to be impressed — we chose them because we knew they’d deliver high-level results with no risk. As a CTO myself, that’s exactly what I look for in a long-term partnership.”
“And, you know, the great part about the fact that you hit the goal, it's not that you had to compromise anything that you were doing, because, honestly, the end result far exceeded what we could have imagined.”
“I would just say that you deliver on quality … I just thought we clicked, and you delivered what we were looking for.”
What you receive.
The agreed engagement includes the relevant outputs below.
- 01
A task and exception map.
- 02
An evaluation report.
- 03
A monitored review workflow.
Our process
How the work runs.
Map the manual task
Identify inputs, revisions and the points where staff use technical judgement.
[ 01 ]
Evaluate representative samples
Compare outputs with authoritative expected results and record failure categories.
[ 02 ]
Set supported operating rules
Define review triggers, failure visibility and recovery ownership for the approved task.
[ 03 ]The people who do this work.
No account layer between you and them. These are the Norml specialists this work runs through.
Max Tymoshyn
Founder & Architect
Artur Tsitou
DevOps & Backend Developer
Petr Savenok
Full-Stack Developer
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
Get startedAI automation for manufacturers: questions.
Can AI approve specifications automatically?
Not in a routine administrative scope; consequential decisions need explicitly authorised rules and validation.
Can it extract every drawing format?
Supported formats and failure cases are tested and stated rather than assumed universal.
Website 2.0 combines strategy, design, development and launch in one engagement.