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AI adoption & strategy

AI pays off when it is used on the right tasks, with the right model and clear rules. We bring in-depth expertise in Anthropic Claude and OpenAI ChatGPT platforms and APIs and help you decide where AI adoption is worth it in your company.

What you get

  1. Assessment of your teams' current workflows and the tasks ready for AI
  2. Use cases ranked by expected benefit, risk and effort
  3. Platform choice between Claude and ChatGPT, with the right model and effort level per task
  4. An AI usage policy: data handling, permissions, human approval and logging
  5. Hands-on training for your team on their own tasks, not generic examples

Deliverables

  • Assessment report with ranked use cases
  • Rollout roadmap with milestones
  • AI usage policy
  • Training materials for your team

How it works

  1. Interviews & assessment

    We talk to the key people, look at existing processes and systems and collect where routine work takes up the most time.

  2. Pilot

    We try the most promising use case on real data, so the decision rests on experience rather than promises.

  3. Roadmap & training

    We hand over the rollout roadmap and the policy, train your team and, on request, guide the rollout from start to finish.

Good fit when

FAQ

Should we choose Claude or ChatGPT?

It depends on the task. We work with both platforms in depth and compare them on your actual tasks; often a combination works best. For every task we choose the right model and effort level, so quality and cost both stay in check.

What happens to our company data?

We set the data handling rules at the start: which data may go to an AI service, through which account and with which settings. For business use we recommend a setup in which the provider does not use your data for model training.

Do we need our own developers for this?

No. The assessment and the training work without developers, and we handle the technical rollout. If you have a team, we work alongside them and hand over the know-how so they can carry on independently.

  • Agent workflows & automation

    AI agents that call tools, move data between systems and complete multi-step tasks, with approval checkpoints, guardrails and logging.

  • AI assistants & document processing

    Assistants that answer from your own knowledge base, customer support chat and document processing: data extraction from invoices, contracts and forms.

  • Code review & quality audit

    A review of your codebase: architecture, security, performance, dependencies and tests, in a report ranked by severity with suggested fixes.

  • Technical documentation

    Architecture overviews, API references, runbooks and developer onboarding for existing codebases, versioned alongside the code.

  • Test automation & QA

    Unit, integration and end-to-end tests, accessibility checks and quality gates in your CI pipeline, for new or existing software.

Where could AI help your business?

Ask for a short assessment and we will show you where to start.

Request an assessment