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Ruxiom
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AI adoption for your business

We introduce AI tools where they save your team time. We sort out providers, contracts and data protection first. Then we support your team and keep track of usage and costs.

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Your situation

When we introduce AI in your business

  • Your team should be working with AI tools, but no one has introduced them properly yet.
  • You want to know which data goes to which provider and what gets stored.
  • You have a specific workflow where a language model should take work off your hands.

Scope

What AI adoption includes

  • Select use cases

    We review your workflows and choose the places where a language model reliably helps.

  • Providers and contracts

    We choose a provider that fits your data and clarify data processing agreements and retention periods. Where the provider offers it and your data requires it, we set up accounts with Zero Data Retention so requests aren’t stored.

  • Introduce tools

    We set up Claude Code, ChatGPT or Cursor for your team. We define access permissions and templates. We also set clear rules on which data may go into the tools.

  • Usage and costs

    We set up reporting in the providers’ admin consoles and set budgets there. For your own integrations we track usage and costs with PostHog.

  • Connect your software

    If a model needs to become part of your application, we build the integration on Cloudflare® Workers. OpenRouter keeps the provider interchangeable. We evaluate the results before rollout.

  • Experience from our own work

    We use AI tools in development every day, in our own products and client projects. That’s how we’ve come to know their strengths and limits in practice.

Stack

Claude, ChatGPT, Claude Code, Cursor, Anthropic API, OpenAI API, OpenRouter, PostHog, Cloudflare Workers

Process

How we introduce AI to your team

  1. Review workflows

    We discuss where time is lost in daily work and which data is involved.

  2. Sort out providers and data protection

    We decide which provider can see which data. Then we clarify the contracts and set up accounts and retention rules.

  3. Introduce and train

    We set up the tools and show your team how they help with real tasks.

  4. Support and evaluate

    We review usage, costs and results with you and adjust how the tools are used.

More on this topic

More on this topic

  1. Automation & integrations

Cloudflare

Built on Cloudflare

Ruxiom runs on Cloudflare, from hosting and data to DNS and domains in the same account. Internal systems sit behind Cloudflare Access. We run most client projects the same way.

  • Cloudflare Workers

    Backends, APIs and server-rendered pages.

  • D1

    Relational data for admin tools, forms and QA workflows.

  • R2

    Storage for screenshots and uploads. Media and test results are stored there too.

  • Cron Triggers

    Scheduled cleanup, data reconciliation and billing.

Questions

What would you like to know first?

Which data goes to the provider?
Only what you approve. We configure accounts so that inputs aren’t used for training and choose Zero Data Retention when your data requires it. For confidential data, we choose providers with data centers in the EU.
Do we need our own model?
In most cases, no. Models accessed via API are usually more up to date and cheaper than running your own. Your own models are only worthwhile for very specialized data.
What does adoption cost?
We offer setup and training at a fixed price. The provider bills usage. We set budgets to avoid surprises.

Working together

Where should AI take work off your hands?

Describe the workflow that takes time. We’ll tell you whether and how a language model can help.

Request a call