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AI systems · Automation · Cloud

Less manual work. More from AI.

AI systems, connected tools and reliable cloud infrastructure. Experienced engineers, an agreed sprint and a result you can verify.

Request a consultation See the service areas
Watch how the work runs From the first conversation to a working system.
A small knight in a slotted helmet with a blue plume works at a laptop, linked to miniature islands of servers and tools.
AI agents and integrations connect the systems a business already runs.
  • Clear scope and timeline
  • Testing before deployment
  • Your code and documentation

Three service areas

Most engagements combine two of these. The consultation decides which one leads.

  • AI systems and automation

    Agents, workflows and integrations that take repetitive work off people, with logging, limits and a person at every approval step.

    What changes
    • Fewer hours lost to copying data between tools
    • Requests, research and reports prepared for review instead of from scratch
    • Defined failure handling when a system or data source does not answer
    Explore AI systems

  • Cloud and delivery

    Infrastructure, deployment pipelines and monitoring that make releases repeatable and incidents easier to diagnose.

    What changes
    • Releases that follow the same tested path every time
    • Cloud spend broken down so it can be discussed
    • Alerts set on agreed thresholds and routed to a named owner
    Explore cloud work

  • Technical consulting

    A second opinion before an important decision: architecture, AI tooling, vendors and the order of changes, weighed against budget and team.

    What changes
    • Decisions recorded with the reasons behind them
    • A realistic order of work instead of a wish list
    • A straight answer on where AI should not be used
    About the practice

Who the work is for

CloudWarrior works best with organisations that already have revenue, a clear problem and someone able to make decisions about it.

  • Established companies

    Operations, sales support and technical teams with manual work, fragile integrations or a cloud platform that needs order, and an owner and budget for fixing it.

    AI systems for companies

  • Established creators and creator businesses

    Channels with a team, a sponsor flow and a production process: sponsor inquiry intake, research with source review, content workflow and asset handover.

    Systems for creator businesses

From problem to handover

Four stages. Each ends with something that can be checked, and nothing moves on without an agreed decision.

The knight beside a miniature deployment pipeline that carries work between small islands.
A tested pipeline takes each approved change to production.

  1. Understand

    The goal, the current state, the constraints and who decides.

  2. Agree the sprint

    Scope, success criteria, dependencies, access, responsibilities and how changes are approved, in writing.

  3. Build with agents, reviewed by engineers

    AI agents speed up research, code and tests. Engineers review the output, run the tests and report progress, risks and the decisions needed.

  4. Verify and hand over

    The result is checked against the success criteria, deployed with approval and handed over with documentation.

People stay in control

AI agents support delivery within the scope and permissions agreed for each process. Engineers review the results and approve production changes. Access is limited to the systems and tasks the work requires.

Scope
Engineers agree what is in and out of the sprint, and it changes only with client approval.
Access
Agents get the narrowest access the task needs, granted per engagement and removed at handover. Credentials never go into prompts.
Tests
Output is checked by automated tests and read by a person before it counts as done.
Deployment and handover
An engineer approves every production change. The client receives the code, the configuration and the documentation to run it.

Experience behind the work

Patryk Ciszewski, founder of CloudWarrior, brings 12 years of IT experience across enterprise environments and startups: infrastructure, delivery, automation and technical leadership.

CloudWarrior combines that practice with consultants selected for the needs of each engagement. The roles below are functions in a project, not a fixed roster or a statement of current availability.

Client case studies are not published on this site yet. They will be added once results and permission to disclose them are confirmed.

The knight holds a tablet beside a monitor showing an architecture diagram on a small warm-lit island.
Architecture and decisions reviewed before anything is built.

Capabilities selected for the task

  • Architecture and cloud Environments, deployments and observability.
  • AI systems and integrations Agents, data flows and error handling between systems.
  • Technical leadership Decisions, priorities, reviews and handover.

Resources

  • Infrastructure readiness checklist

    Twenty-four yes-or-no questions on recoverability, delivery, visibility, cost, access and continuity. Printable from the browser.

    Open the checklist

  • Automation map

    A worksheet for recurring tasks: trigger, data, owner, errors and priority. With a filled example and a printable version.

    Open the automation map

  • AI and delivery sprint brief

    A seven-part brief template: problem, result, data and access, constraints, risks, acceptance criteria and exclusions. With a filled example.

    Open the brief template

  • How the work runs

    The full method as a scroll film, with a plain text version below it.

    See the method

Before a consultation

Do I need technical knowledge?

No. Start with the business problem. The technical scope is worked out together during the consultation.

What does AI-assisted delivery mean here?

Engineers use AI agents and bots for research, drafting, code, tests and checks. People at CloudWarrior set the scope, decide what an agent may access, review the output and approve every deployment.

Can CloudWarrior join an existing project?

Yes. Work starts by understanding the current solution, its constraints and how the team already works.

What is agreed before implementation?

Scope, timeline, responsibilities, cost, success criteria, dependencies, how changes are approved, and the arrangements for handover and ongoing support.

Does a consultation commit me to implementation?

No. Further work is agreed separately and in writing. This site does not state a consultation price or promise a free service.

Who owns the work after handover?

The client. Code, configuration, prompts and documentation stay in the client's repositories and accounts, with the context needed to operate them.

Is the work remote?

Yes. The practice works remotely from the EU by default, and anything else, such as time on site, is discussed before either side commits. Initial qualification runs 08:00–16:00 and consultations with Patryk are held after 18:00, Europe/Warsaw. Dates are agreed individually.

Should the first message include access credentials?

No. Send a short description without passwords, API keys or customer data. Any access needed for agreed work is arranged separately.

George, on patrol

I am George, the founder's dog and the inspiration for our AI guardians. From its earliest work with generative AI, the team has built its own agents, pipelines and automations. They support analysis, code, tests and documentation. Engineers verify the results and take responsibility.

How the AI systems work

Request a consultation

Describe the problem, the outcome that matters and any deadline that is real. Two or three sentences are enough to start.

Request a consultation

  1. Prepare an email
  2. Finish sending in your email app

Where the reply goes.

Helps place the request in context.

The problem, the outcome you need and any real deadline. No passwords, keys or customer data.

Initial qualification 08:00–16:00, consultations with Patryk after 18:00, Europe/Warsaw. The date is agreed individually; sending this form does not book a consultation.

Answers are used to reply to this request and nothing else. No mailing list, no sequence. Privacy.

Scripts are off, so this form cannot hand the request on. The same three answers work as plain mail: address, company and what needs to change. Write to pat@cloudwarrior.io.

Or write straight to pat@cloudwarrior.io.

Who answers, and when

Status: Patryk Ciszewski is currently contracted on a project.

  • Andrzej and Zosia run the initial qualification, 08:00–16:00 Europe/Warsaw. They ask about the company, the project, the problem, the outcome you want, the deadline and the budget, then pass the case to an engineer.
  • Technical consultations with Patryk are held after 18:00, Europe/Warsaw.

The time is agreed by email, case by case.

A person reads every request and replies by email with a proposed next step, the questions still open, or a clear no.

What happens next

  • A person at CloudWarrior reads the request and checks whether the problem fits the practice.
  • The reply proposes a call, asks what is still unclear, or explains why the fit is wrong.
  • Andrzej and Zosia run the initial qualification 08:00–16:00, and consultations with Patryk are held after 18:00, Europe/Warsaw. The actual date is agreed individually.
  • Scope, success criteria, timeline and cost are agreed in writing before any work starts.
Reply
By email, from a person
Call windows
Qualification 08:00–16:00 · Patryk after 18:00, Europe/Warsaw
Dates
Agreed individually
Commitment
None until scope is agreed

Contact

Remote across the EU · Europe/Warsaw time