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Max Tymoshyn, founder of Norml Studio
Max TymoshynFounder, Norml Studio

Evaluate administrative automation before producers rely on it.

We test bounded tasks such as enquiry classification or field transfer, with visible review paths for uncertain outputs.

A few clients we’ve worked with

99Legal / Kremenchuker Law GroupAstraZenecaCoxitDiet vs DiseaseFlorida seal — Regional Counsel projectMetroplex HomebuyersNasdaq Private MarketOffice of Criminal Conflict and Civil Regional Counsel, Second Region of Florida — Ita M. NeymotinPolaclubThe Farm Soho

What we do

We test bounded tasks such as enquiry classification or field transfer, with visible review paths for uncertain outputs.

Decisions that shape this work.

  • Incorrect classification can send a request to the wrong producer.

  • Failure visibility matters as much as a successful demonstration.

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.

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.

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 scope uses the agency’s actual offerings and approved public information. Product statements and customer-data decisions stay with the agency’s authorised reviewers.

Task baseline

Document the manual action and exceptions handled by staff.

Evaluation

Compare proposed output with labelled synthetic or approved examples.

Human review

Route uncertain and failed records to a responsible person.

What clients say.

Reviews from the companies we have built and maintained websites for.

Read every review on Clutch
“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.”
Chris NeeckChief Distribution Officer, InsuraTec
“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.”
Iryna MykytynFounder & CTO, COXIT.COClutch review
“I would just say that you deliver on quality … I just thought we clicked, and you delivered what we were looking for.”
Amanda GrayManager, Data and Financial Products, Nasdaq Private Market
“Norml Studio's professionalism and responsiveness were impressive.”
Josiah BallCo-Founder & CEO, HOMEECClutch review

What you receive.

The agreed engagement includes the relevant outputs below.

  1. 01

    A task map.

  2. 02

    An evaluation report.

  3. 03

    A monitored review workflow.

Our process

How the work runs.

Document the staff task

Map what is copied or classified and identify cases requiring human judgement.

[ 01 ]

Test representative inputs

Compare outputs against approved expected results and record observed errors.

[ 02 ]

Set operating boundaries

Define supported cases, review triggers and recovery instructions before implementation is relied on.

[ 03 ]

The people who do this work.

No account layer between you and them. These are the Norml specialists this work runs through.

Meet the whole team
Max Tymoshyn, founder of Norml Studio

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 started

AI automation for insurance agencies: questions.

Can AI recommend a policy automatically?
This scope concerns administrative tasks, not coverage recommendations or underwriting decisions.
Can automation process every document format?
Supported inputs and exceptions are defined and tested; no universal document capability is promised.
Website 2.0 combines strategy, design, development and launch in one engagement.

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