01AI Engineering
Workflow automation
Digital visibility
Make it usable.Make it simpler.Make it findable.
We help businesses take the next step into AI — from identifying useful tools and automating repetitive work to building smarter applications and improving digital processes.
We start with the result you need, not a predetermined tool.
Or write to hello@axdesigners.net
02The shift, in numbers
AI use is growing. Its effects depend on the work.
Three figures offer a snapshot of how work and online discovery are changing. Each measures something different; none predicts what will happen in your business.
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S/01
18.8% of the world’s working-age population used a generative AI product in June 2026.
Up from 17.8% in the first quarter of 2026.
About this figure: 18.8%
Microsoft’s estimate covers people aged 15–64. It is based on anonymised usage data, adjusted for device market share, internet access and population. It measures AI product use, not its effect on work.
Source: Microsoft AI Economy Institute, The continued state of global AI diffusion in 2026 (external site), 2026
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S/02
+15% more customer issues resolved per hour by support agents with access to an AI assistant.
One study at one software company found different effects depending on workers’ experience.
About this figure: +15%
The study involved 5,172 customer-support agents. Less experienced workers improved speed and quality; the most experienced saw small speed gains and small quality declines. This is a measured result in one setting, not a general rule.
Source: Brynjolfsson, Li & Raymond, Generative AI at Work (published in The Quarterly Journal of Economics, 2025) (external site), 2024
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S/03
8% vs. 15% of Google visits led to a click on a traditional search result when an AI summary appeared, compared with 15% when there was no AI summary.
Links within the AI summary were clicked in 1% of visits.
About this figure: 8%
Pew Research Center analysed browsing by 900 U.S. adults in March 2025. The result describes that panel’s behaviour, not every search or user.
Source: Pew Research Center, Google users are less likely to click on links when an AI summary appears in the results (external site), 2025
These figures describe trends, not outcomes for your business. The useful question is what makes sense for the work in front of you.
03Start from the problem
What are you trying to change?
Find the situation closest to yours: what we do, what happens first and where to go next are all on the same line.
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Your situation
We think AI could help, but we don’t know where to start.
AX Consulting
What we do
We look at the work first, then compare AI with process changes, automation, and existing tools.
What happens first
We map the task, the people involved, current tools, constraints, and what a useful result would look like.
Read more: AX Consulting
You get a reasoned recommendation that explains which option fits, what alternatives were considered, and what the recommended approach cannot do. We do not train or build custom AI models.
Options compared against your goal, simplest first. AI is one of them, not the starting point. -
Your situation
People repeat the same work by hand.
AX Integration
What we do
We look for steps that can be removed, made more consistent, or automated.
What happens first
We map how the workflow runs now, where time is spent, and where errors or rework appear.
Read more: AX Integration
Predictable tasks may suit process changes, rules, scripts, or existing software. AI-assisted steps may help when inputs vary. People stay involved where review or judgment matters.
Automate the steps that repeat. Keep people at the points where judgment matters. -
Your situation
Our team wants to use AI tools with confidence.
AX Workshops
What we do
We run practical AI workshops built around your team’s own tasks and tools.
What happens first
We agree what the team does today, which tools it uses and what it wants to be able to do.
Read more: AX Workshops
Format, length and group size are agreed with you. The aim is a shared way of working: when to use AI, how to check its output and which data to keep out.
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Your situation
We need more of the right clients.
AX Lead Gen
What we do
We use AI to find companies that match your ideal client and the right people to contact there.
What happens first
We define your ideal client together: industry, size, location and the signals that make a company a good fit.
Read more: AX Lead Gen
A person checks every result before it reaches you. We use public business sources and follow data protection rules.
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Your situation
We need a smarter way to solve a business problem.
AX Engineering
What we do
We design and build applications and online services that make important tasks clear and easy to complete.
What happens first
We clarify who it’s for, what they need to do, and what’s getting in the way today.
Read more: AX Engineering
The work can include product direction, UX and UI design, prototypes, and implementation. The right scope depends on what you need and what the project requires.
Strategy, interface and code designed together, so decisions at the top survive to the bottom. -
Your situation
Customers can’t find us, or AI assistants get us wrong.
AX Performance
What we do
We make your website clearer to people and easier for search engines and AI systems to interpret.
What happens first
We check what your site says, what can be reached and indexed, and where important information is unclear.
Read more: AX Performance
The work may include technical fixes, clearer structure and copy, accurate structured data, and a plan to track agreed measures. We do not promise rankings or AI citations.
One clear, well-structured source, readable by people, search engines and AI systems alike.
We have a problem, but we’re not sure which route fits. Help me choose
Answer a couple of questions and we’ll point you toward a relevant starting point. Nothing is sent anywhere.
04How we work
From a clear goal to work you can evaluate.
Steps can overlap, and real work may return to an earlier step.
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Step 01: Understand the goal
What needs to change, for whom, and within what constraints?
What happens first
Every project starts with the goal.
We clarify the result you need, who the work affects, how things run today and the constraints that matter. Then we agree what a useful result would look like.
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Step 02: Set a baseline
Where data exists, record how things work today. If it doesn’t, agree how to measure.
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Step 03: Choose an approach
Compare process changes, existing tools, automation, and AI. Start with the simplest suitable option.
Measure, then choose again: step 05 returns here
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Step 04: Design and implement
Shape the application or workflow, check it early, and keep people involved where judgment matters.
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Step 05: Measure and improve
Compare results with the agreed baseline, account for other factors, and decide what to do next.
Measure, then choose again: back to step 03
Outcomes
Agree what success means, then check it.
The right measure depends on the work. We agree what to look at before changes begin, then compare with the baseline where data is available.
What could we measure?
AI Integration & Automation
- Time per task
- Error and rework rate
- Volume handled
- Time from request to result
- Share of cases still handled by hand
AI Engineering
- Task completion
- Drop-off
- Time to complete key tasks
- Repeat use
- Support requests
- User satisfaction
AI Performance GEO, AEO
- Indexed pages
- Search impressions and clicks for agreed searches
- Qualified enquiries
- Dated checks of how search and AI assistants describe the business
Results can have several causes. We report what the measures show and what they cannot establish.
05Featured project
Finemy
One number instead of a spreadsheet.
Finemy.app is a personal finance and budget management application designed and built by AX Designers for Coal Software. It helps users take control of their everyday spending, organise expenses and manage their available money.
Read the Finemy case study on AX Lab Visit Finemy (opens in a new tab)
Different practices. One thoughtful way of working.
06About AX Designers
AI changes what we can do. Experience changes what we do with it.
AX Designers was co-founded by two women, Jolanta Żochowska and Małgosia, designers with complementary backgrounds in websites and apps, UX, art direction, brand systems and production automation.
We use AI where it helps, and established tools or a simpler approach when they fit better.
07Contact
Have something you want to improve, build, or figure out?
Tell us what you’re working on. We’ll ask the right questions and work out a useful next step with you.