about ergosol

Ergonomics for software.

  • A chair should fit the person.
  • A tool should fit the hand.
  • A system should fit the business.
  • That is Ergosol.

Ergosol is short for ergonomic solutions.

We apply the principle of designing around the user to automation, software, commerce, and connected business systems.

01 / the principle

Bad software makes people adapt.Good systems adapt first.

  • They change the workflow.
  • They create spreadsheets.
  • They duplicate information.
  • They memorize exceptions.
  • They work around the system.

Most software starts with a platform.

Here are the features. Here is the workflow. Here is how your team needs to operate.

We start somewhere else.

  • How does the work actually happen?
  • Who needs what information?
  • Which decisions repeat?
  • Where does the process slow down?
  • Which exceptions matter?

Only then do we decide what the system should look like.

02 / why the name

Ergonomics is about fit.

A badly designed chair makes the person adjust to the chair.

Bad software does the same thing to a business.

People create workarounds. Spreadsheets appear between platforms. Teams enter the same information twice. Important processes live outside the systems meant to manage them.

That is not a software adoption problem.

It is a fit problem.

We build systems that fit the operation.

03 / principles

The rules we build by.

Principle 01

The process comes first.

Understand the work before choosing the tool.

Principle 02

Automate the right work.

Not every manual step needs removing.

Automation is useful when it removes repetition, reduces mistakes, or makes information move faster.

Principle 03

Keep people where they matter.

Some decisions need context. Some need judgement. Some need a person.

A good system knows the difference between work software should handle and work it should support.

Principle 04

Fewer moving parts are better.

More tools do not automatically create a better system.

Complexity needs a reason.

Principle 05

Edge cases are part of the system.

The standard workflow is usually the easy part.

We pay attention to what happens when information is missing, a user makes the wrong selection, an API fails, or a process does not follow the expected path.

04 / capability

From workflow problems to working systems.

AI automation

Workflow automation using Make.com, Zapier, n8n, and custom AI agents built with Claude and the OpenAI API.

SaaS products

Web applications, mobile products, and internal systems designed around specific business workflows.

E-commerce systems

Shopify and other commerce environments, including the operational systems behind the storefront.

Integrations

APIs, databases, and business platforms connected so information can move without manual handoffs.

05 / method

We do not start with a build.

We start with questions.

  • What happens today?
  • What should happen?
  • Where does the current process break?
  • What information needs to move?
  • Who should make each decision?
  • What needs to stay exactly as it is?

01

Map

Understand the current workflow, systems, people, and handoffs.

02

Diagnose

Find the friction, unnecessary steps, and real constraints.

03

Design

Choose the architecture that fits the process.

04

Build

Create, connect, and test the system against real use.

The goal is not implementation. The goal is a system people can actually work with.

06 / fit

Ergosol is useful when the standard setup stops being enough.

  • Your team has outgrown manual processes.
  • You have multiple platforms that should be connected but are not.
  • Your automation works until something unexpected happens.
  • You need internal software that does not exist off the shelf.
  • You are building an AI product and need more than a prototype.
  • Your e-commerce operation has become more complex than the storefront.
  • Your team spends too much time moving information between systems.

If the problem sits somewhere between process, software, and operations, that is usually where our work begins.

07 / proof

The principle only matters if it survives the build.

A custom Shopify environment for Shagufta Styles.

An AI SaaS product for document analysis and candidate ranking with Rankid.

Different products.

Same question.

Does the system fit the job?

See supporting work

08 / talk to us

Tell us what is not fitting.

You do not need to arrive with a technical specification.

Tell us how the process works now, where it breaks, and what you want to work better.

We can start from there.

Discuss your system