AI Consulting

What we Do

From strategy to production, we help companies put AI to work with dedicated agents, modernized code and integrations that fit the way they already operate.

  • Custom AI Agents

    Agents built for one job and built to do it reliably. We design, build and deploy agents that handle real business tasks from start to finish.

    • Task-specific agents with tools and memory
    • Integration with your APIs and data
    • Guardrails, monitoring and human-in-the-loop
  • Code Modernization

    Use AI to speed up the modernization of legacy codebases: refactoring, migrations, test coverage and documentation, with engineers reviewing every change.

    • Framework and language migrations
    • Automated refactoring and test generation
    • Documentation for undocumented systems
  • AI Integration

    Add AI features to your existing products and internal tools, from the first prototype to production, without rewriting your stack.

    • LLM features in existing applications
    • Model selection and cost optimization
    • Production-ready deployment
  • AI Audit & Strategy

    Find out where AI will pay off before you invest. We assess your processes, data and team, then deliver a prioritized roadmap.

    • AI readiness assessment
    • Use-case discovery and prioritization
    • Roadmap with ROI estimates
  • RAG & Integrations (MCP)

    Connect AI to your company knowledge and systems. Assistants answer from your documents, and agents act on your tools through MCP.

    • Knowledge bases over docs, wikis and CRMs
    • Custom MCP servers for internal systems
    • Search quality evaluation
  • Training & Workshops

    Hands-on workshops that help your engineers work effectively with AI coding assistants and agents in their daily work.

    • AI-assisted development (Claude Code, Cursor)
    • Prompt and context engineering
    • Building and operating agents
Process

How we Work

A short path from idea to production, with a working result at every stage.

1

Discovery

We map your processes, data and goals to find the use cases with the best return.

2

Prototype

A working proof of concept on your data, so you can judge the results early.

3

Build & Integrate

A production-grade build, integrated with your systems, with tests and monitoring.

4

Handover & Training

Documentation, training for your team and ongoing support after launch.

Let's talk about your AI project

Tell us about your project and we will help you find where AI fits in your business.

AxonPod

AI consulting and custom AI agents, from strategy to production.

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