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A practical roadmap, then the work to deliver it

AI strategy and integration

You know AI matters but not where to start, or you have tried a few tools without clear results. We assess your operations, rank the opportunities by value and effort, and integrate AI where it pays off: in your products, your processes and your teams’ daily work.

What we do

  • Opportunity assessment
  • LLM integration
  • Custom copilots
01

Overview

The hard part of AI is rarely the technology. It is choosing the right problems and fitting the solution into the way people actually work.

We start with your business, not with a model. Through interviews and a look at your data, we identify the tasks where AI saves time, improves quality or opens new revenue, and we estimate the gain for each one.

Then we move from slides to working software. A proof of concept on your own data shows what is possible within a few weeks. If it holds up, we integrate it properly: into your product, your internal tools or the assistants your teams use every day.

A good fit if

  • Your leadership wants an AI plan backed by numbers
  • Your teams use AI tools informally, without shared rules
  • You want to add AI features to your own product
  • You need an independent view before investing
02

What we do

A structured review of your processes to find where AI makes a measurable difference.

  • Interviews with key teams
  • Value and effort scoring
  • A ranked list of use cases
03

How we work

  1. 01

    Week 1

    Listen

    Interviews with leadership and teams, and a review of your current tools, data and constraints.

  2. 02

    Week 2

    Assess

    We list the opportunities, estimate value and effort for each, and flag the risks.

  3. 03

    Weeks 3 to 5

    Prove

    A proof of concept on your own data for the most promising use case.

  4. 04

    Then

    Integrate and train

    Production integration, documentation and training for the teams who will use it.

04

Technologies we use

Models

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Mistral
  • Llama

Platforms

  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI

Tooling

  • LangChain
  • LlamaIndex
  • Evaluation frameworks
  • Vector databases
05

What changes for you

  1. 01

    A clear AI plan with numbers behind it

  2. 02

    Quick wins delivered in the first weeks

  3. 03

    AI features your customers and teams actually use

  4. 04

    Teams that know how to use AI safely

What you receive

  • Opportunity assessment report
  • Ranked roadmap with estimates
  • Proof of concept on your data
  • Integration into your systems
  • Training sessions and usage guidelines
AI strategy and integration

Frequently asked questions

Yes. The assessment scales to your size. For a small team it can take a few days and focus on two or three concrete opportunities.

Not sure where to start?

Book a free audit. We will look at your processes and recommend the service with the fastest return.