EAISENGINEERED AI SYSTEMS

About

About Engineered AI Systems

Engineered AI Systems is an AI systems engineering company focused on practical business and technical automation. We help companies move from casual AI usage to structured AI systems.

Autor kursów

Łukasz Kretowicz

Jestem autorem kursów EAIS i twórcą poniższych projektów. Zobacz ich działające strony i sprawdź, czym się zajmują.

Tworzę także projekt MMAPPV1.

Our view

AI becomes valuable when it is engineered into real operations.

AI is not valuable because it is fashionable.

A prompt can help. A chatbot can answer. A model can generate. But a business needs a system.

EAIS designs that system.

Structured AI systems mean

agentspromptsworkflowsAPIsdocumentsdatainfrastructuremonitoringhuman approvalbusiness outcomes

What we believe

Our principles

  • AI should solve operational problems.
  • Prompts should be versioned and tested.
  • Agents need boundaries.
  • Automations need monitoring.
  • Deployment needs rollback.
  • Sensitive actions need human approval.
  • Tools are not the product.
  • Reliable systems are the product.

Who we serve

Built for

small and medium businesses
e-commerce companies
automotive and technical operations
professional service firms
companies with document-heavy workflows
teams that want AI implementation without enterprise complexity

Accountability

A system needs a named owner. So does the company building it.

Company details and the division of responsibilities for an engagement.

Business owner
Łukasz Kretowicz
Registered firm
AMA Łukasz Kretowicz — Polish sole proprietorship (jednoosobowa działalność gospodarcza). AMA remains the public operator and brand name.
Registered address
Emilewo 37/A, 62-640 Barłogi — confirmed as both the permanent place of business and delivery address in CEIDG on 2026-07-16.
Registry identifiers
NIP 6661935788, REGON 311552687; CEIDG status: Aktywna; VAT status: Czynny.
Delivery responsibility
EAIS defines scope, architecture, implementation controls and handoff responsibility in the agreed engagement.
Client responsibility
The client retains responsibility for source data, business decisions, legal bases and final approval of consequential actions.

Decision point

Start with one real process.

The AI Systems Audit maps the work, data, risks and approval points before deciding what deserves to become a system.

Start the auditMap your process