Matthew PrzybyszBUSINESS SYSTEMS

SERVICE · AI TOOLS

AI tools for businesses

I build AI that works inside a specific process in your company, not another chatbot for the sake of it. The assistant answers questions about your data, suggests the next step and removes manual work where the effect can be checked.

Company dashboard · AI assistantSAMPLE DATA

Where are margins leaking this month?

Margin dropped in 2 of 5 services. The biggest drop is in installation, because materials got more expensive.

Margin by service, %

Consulting80
Maintenance72
Design68
Transport49
Installation41

→ Suggested step: update installation pricing

Illustration: the AI assistant answers a question about company data and points to the next step. Sample data.

Where AI really helps

  • Questions about data in plain language, e.g. “where are margins leaking this month?”.
  • Spotting trends, risks and opportunities in the numbers before they show in results.
  • Producing content from templates, e.g. club graphics with AI backgrounds.
  • Summaries and next-step suggestions inside a decision dashboard.

Examples from real projects

  • Football academies. An AI assistant in the finance dashboard interprets the club's finances and suggests a plan of action.
  • DesignMyClub (Free to Dream). A club picks a template and the tool prepares a match preview, result or line-up as a post or story, with AI backgrounds. Free to Dream says it makes running the club's social media “several times faster and easier”.
  • CEO command center. The CEO of Flowstaff wrote that AI helps her “spot trends, risks and business opportunities faster, before I see them in the results”.

Rules I stick to

  • AI works on your real data. When data is missing, the system says “no data” instead of showing zero.
  • Before building, we agree which data the AI model may process and with which provider.
  • Important decisions stay with people.
  • I don't promise savings we won't measure.

Examples from real projects

How I work

  1. 01

    Diagnosis and baseline

    I look at who runs the process, what data it uses and where delays or errors appear. We agree the scope of the first rollout and the measure we'll compare the result against.

  2. 02

    Design and build

    I connect your existing tools or build a dedicated application. We agree what the system does and what needs a human decision, then test it on real cases.

  3. 03

    Rollout in daily work

    I help the team start using the system, remove obstacles and hand over documentation. We agree who owns the data and maintenance.

  4. 04

    Measurement and next steps

    After an agreed period we compare the result with the baseline, then decide on improvements and further scope.

FAQ

Will AI replace my employees?

That's not the goal. AI takes over repetitive tasks and makes suggestions. Decisions and client contact stay with people.

Will our data be sent to ChatGPT?

Only if we agree on it. Before we start, we decide which data the AI model processes, with which provider, and what stays only with you.

Where do we start?

With one process that takes time or causes errors. In a 30-minute call we check whether AI makes sense there or whether simpler automation is enough.

How much does it cost?

I give a price after a 30-minute call and a diagnosis. It depends on scope, data and integrations.

Do the tools work in Polish and English?

Yes. I work in Polish and English, and the academy dashboard runs in both languages.

Which process should your business improve first?

Tell me about one process that takes too much time, causes errors or makes decisions harder. In 30 minutes we'll look at the problem and the data, and agree a concrete next step.

Book a process discussion →

30 minutes · NDA on request · written summary