Workflow
- n8n
- webhooks
- scheduled jobs
- internal tooling
Automation
Work that repeats. Handled once.
Integrations, workflows, and language features built to run unattended, with a logged failure path for every step that people used to catch by hand.
What the work covers
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Process automation and integrations
Recurring manual work moved into workflows, with people kept on the approval step instead of the boring one. Systems never designed to speak to each other are joined by webhooks, scheduled jobs, and small internal tools, each with its own logs and its own failure path. A workflow that fails quietly is worse than the spreadsheet it replaced.
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AI features in production
Retrieval pipelines, agent orchestration, and language features that ship into a product rather than into a slide deck. Retrieval is evaluated against real questions before it is wired to anything, model calls are budgeted and logged like any other dependency, and an answer meant to rest on your documents keeps a path back to the source it came from.
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What stays with people
Judgement can be automated too, where the rules are agreed and the result is checked, so what stays with a person is defined per process rather than assumed. Consequential decisions, exceptions, and anything an auditor would ask about stay with the person accountable for them, with the workflow doing the fetching and the filing.
A workflow your team can operate
Automation includes failures, responsibilities and a handover to the people running the process.
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What you receive
- A map of the process, data sources and integrations.
- Agreed workflows, event logging and operating instructions.
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How we accept the work
- Walk through the normal flow and agreed failure cases.
- Check permissions, retries and handoff to a person.
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What we agree separately
- Additional workflows and changes to supplier APIs.
- Licences, service limits and responsibility for source data.
Scope agreed before we start. We select the relevant deliverables, responsibilities and acceptance criteria for your project.
Who this is for
Operations teams losing hours to copying data between systems, and companies with a real use case and no appetite for an AI science project.
Work starts at the step someone already dreads: the export that has to happen every Monday, the queue that is routed by hand, or the answer that has to be assembled from four systems.
Stack in use
Integration
- REST APIs
- PostgreSQL
- message queues
Language models
- Claude API
- OpenAI API
- agent orchestration
Retrieval
- Qdrant
- RAG
- embeddings
Runtime
- Docker
- Kubernetes
- GitHub Actions
Observability
- Grafana
- Prometheus
- Loki
- Alertmanager
Questions about automation
Which work is worth automating first?
The step someone already dreads and that returns often enough to pay back: the export that has to happen every Monday, the queue routed by hand, the answer assembled from four systems. Judgement can be automated too, where the rules are agreed and the result is checked. What stays with a person is defined per process rather than assumed.
What happens when a workflow fails at three in the morning?
Each step has its own logs and a defined failure path: a retry, an alert, or a handoff to a person. A workflow that fails quietly is worse than the spreadsheet it replaced, so silence is treated as a defect.
Do our systems need an API for this to be possible?
Not always. Where an API is missing we use what the system actually permits: scheduled exports and imports, file exchange, a database view you grant, or supported interface automation where the vendor allows it and it holds up. Where none of that exists, it is named in the scope before the build rather than discovered halfway through it.
How is an AI feature checked before it reaches the product?
Against the task it is meant to do: real questions, the ways it is expected to fail, and, where an answer is supposed to rest on your documents, whether the source actually supports it. Model calls are budgeted and logged like any other dependency.
What do you want to build or improve?
Tell us your goal and what is getting in the way. Two or three sentences are enough to start.
Copy this text if you need to contact CloudWarrior directly. Answers are kept only on this open page.
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 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.
We will match the topic to the right specialist and work out whether you need advice, a focused delivery engagement or support for your team.
How we start
- Andrzej or Zosia gathers the context and helps arrange the next step.
- A consultant with relevant expertise reviews the challenge. If we are not the right partner, we will say so.
- Before work begins, you receive a proposed scope, cost and timeline.
- Contact
- Directly with the CloudWarrior team
- Next step
- Advice or a delivery proposal matched to the challenge
Contact
Remote across the EU · Europe/Warsaw time