Claude AI Setup services

Get your team productive with AI

I set up Claude AI the right way. Integration, training, workflows that stick.

Claude AI Integration That Works

I help teams bring Claude AI into their daily work. API setup, MCP servers, team training. I make sure your AI investment pays off. Technical setup is only half the job. The other half is getting people to actually use it.

  • Claude API integration and configuration
  • MCP server setup for tool use and automation
  • Claude Code setup for developers
  • Hands-on team training included
2+
Years AI
5+
AI Projects
20+
MCP Tools
5+
AI Projects Shipped
20+
MCP Tools Built
2+
Years AI Experience
100%
Teams Trained

How it works

1

Assess

I look at your workflows, your team, where AI would help most.

2

Set Up

API integration, MCP servers, Claude Code. Configured for your stack.

3

Train

Hands-on training so your team actually uses it. Not a one-time workshop. Real adoption.

Services & Pricing

Fixed prices. What you get, what it costs.

$ ./services/api-setup

Claude API Setup

From €1,500

1-2 weeks

Perfect for

Teams integrating Claude into their products or internal tools

  • API integration and configuration
  • Prompt engineering for your use case
  • Error handling and retry logic
  • Cost optimization
  • Basic documentation
$ ./services/workshop

Team Workshop

From €2,500

1-2 days

Perfect for

Teams that want everyone using AI, not just a few people

  • Hands-on Claude training
  • Prompt engineering techniques
  • Use case development for your workflows
  • Best practices documentation
  • Follow-up support (2 weeks)
$ ./services/full-integration

Full AI Integration

From €5,000

2-4 weeks

Perfect for

Companies going all-in on AI for workflows and products

  • Complete API integration
  • Custom MCP server development
  • Workflow automation
  • Team training included
  • 30 days post-launch support
$ ./services/claude-code

Claude Code Setup

From €1,000

1 week

Perfect for

Dev teams that want to code faster with AI

  • Claude Code installation and configuration
  • Custom MCP servers for your codebase
  • CLAUDE.md and project context setup
  • Developer training session
  • Workflow best practices

Without proper setup

  • Team tries AI once, goes back to old habits
  • API costs add up because nobody thought about caching
  • Developers poke around Claude Code but don't get much from it
  • No MCP tools, so manual work stays manual
  • Knowledge stays in silos. No shared workflows.

With proper setup

  • AI becomes part of how your team works. Not a novelty.
  • Prompts and caching set up right. API costs stay reasonable.
  • Developers ship faster because Claude knows your codebase
  • Custom MCP tools handle the boring stuff
  • Shared workflows. Best practices. Everyone on the same page.

Common questions

What you want to know about AI setup

Depends on what you need. API integration connects Claude to your systems. Authentication, error handling, cost tracking. MCP servers let Claude use tools like databases, file systems, or your internal APIs. Claude Code setup gets your developers productive with AI-assisted coding. Training makes sure your team actually uses it.

API setup: 1-2 weeks. Full integration with MCP servers and training: 2-4 weeks. Claude Code setup for a dev team: about a week. Depends on complexity and how many systems we're connecting.

Every engagement includes follow-up support. API setup gets 2 weeks. Full integrations get 30 days. After that, I offer maintenance packages if you need continued support. But the goal is to make you self-sufficient.

API setup integrates Claude into your products or internal tools. Your users or your team interacts with Claude through your interface. Claude Code setup is for developers. It makes coding faster by giving Claude context about your codebase. Many teams want both.

Yes. Every integration includes training. For API integrations, I train the team who'll maintain it. For company-wide rollouts, I do workshops covering prompt engineering, best practices, and your specific use cases. Training is the difference between AI as a toy and AI as a tool.

I can audit what you have and fix it. Common issues: prompts that waste tokens, no caching, missing error handling, no one actually using it. Sometimes a few hours of optimization makes a bigger difference than starting over.

Decorative background

Ready to make AI work for your team?

Tell me what you're trying to build. We'll figure out how Claude fits.

Let's talk AI