Custom AI Engineering

The model isn't your problem.
The harness is.

We build the context, tools, orchestration and feedback loops that turn AI into something that actually does work in your business.

  • Competitive advantage independent of model choice (Claude, GPT, Gemini interchangeable)
  • 80% production-ready output instead of demo-only experiments
  • First working harness in 2-4 weeks, fixed scope upfront
Book a consultation

30 minutes, no obligation, no sales pitch

AI harness orchestration: holographic agents connected by glowing streams in a data center

Trusted by public and commercial organisations

From public sector to SMEs: businesses building their AI systems with And AI.

Stichting Wender
Stichting LIMOR
Stichting Terwille
The Salvation Army
WerkPro
The Boxing Society
Vos Energie
Back2Code
Script
Bolsenbroek
Hello Company

The four components of a working harness

A ChatGPT license is a chat session. A harness is a system. These are the pieces we build around the model.

Context engineering

Integrations with your documents, CRM, email, calendar and meeting transcripts, so the AI knows what your business does and who your clients are.

Tool architecture

Focused connections per use case: read email, fetch a customer record, save drafts. No spaghetti, just the right capability per agent.

Orchestration

Tasks split intelligently across multiple agents, with clear responsibilities and human checkpoints where needed.

Feedback loops

Telemetry and evaluation so you see what works and what doesn't, and the system improves over time instead of degrading.

How we build the harness

From use case to working system in 2-4 weeks, then expand iteratively.

1

Discovery

We map a concrete use case and the surrounding processes. What should the harness do, for whom, with which data?

2

Architecture

We design the harness: which context, which tools, which agents, which human checkpoints. Fixed-scope quote upfront.

3

Build & integrate

We build the system and connect it to your documents, CRM and tools. You get a working first version within 2-4 weeks.

4

Iterate & expand

We measure what works, add agents and tools, and keep tuning. The system improves instead of degrading.

Custom engagement

Custom AI Harness Engagement

A working AI system around your business. No prompt vendor, no training course, but an implementation partner who builds the pieces around the model.

from €5,000
First harness investment
2-4 weeks
To first working version
Fixed scope
Quote upfront, no surprises

What you get:

  • Context engineering (integrations with your documents and data)
  • Tool architecture (focused capabilities per use case)
  • Orchestration (agents with clear responsibilities)
  • Feedback loops (telemetry and evaluation built in)
  • Working system in production, not a demo
  • Documentation and handover to your team
Book a consultation
Fixed-scope quote upfront. Investment, not a cost line: competitive advantage lives in the execution.

Why SMEs choose us

Implementation partner, not a prompt vendor or trainer

Model-agnostic: Claude, GPT and Gemini are interchangeable in our architecture

Working harness in 2-4 weeks, not in six months

Fixed-scope quote upfront: no open-ended commitments, no surprises

Proven in production: 40% more leads (Boxing Society), 5 minutes saved per appraisal (Bolsenbroek), 8 institutions unified (Stichting van de Straat).

Our team

5 professionals based in Groningen

Anthonie

Anthonie

AI Strategy & Business Optimization

Stefan

Stefan

AI Implementation & Innovation

Jeroen

Jeroen

AI Engineer

Ewoud

Ewoud

AI Engineer

Joppe

Joppe

AI Engineer

Frequently asked questions

What exactly is an AI harness?

An AI harness consists of four components around a language model: context engineering (integrations with your documents and CRM), tool architecture (focused connections per use case), orchestration (tasks split intelligently across agents) and feedback loops (telemetry and evaluation). Together they turn a model into something that actually does work, instead of just giving isolated answers.

Why does the model choice (Claude vs GPT vs Gemini) matter less than I thought?

Because the harness carries roughly 80% of the success and the model only 20%. The major models are interchangeable and perform similarly on business tasks. What actually creates competitive advantage is how well the context, tools and orchestration around the model are built. That's why we work model-agnostic.

We already have ChatGPT licenses, do we really need a harness?

For throwaway tasks (one-off ideation, rewriting text) ChatGPT is fine. For repeating multi-step tasks inside your processes it isn't, because the model doesn't know your business and can't remember anything between sessions. A harness is production work: workflows that run end-to-end (complaint in, fetch case file, draft reply, human sends) and use your actual business data.

How long until we see results?

The first working harness around one concrete use case is in production within 2-4 weeks. After that we expand iteratively with more agents and tools. So you see a working system within a month, not after six months of planning and pilots.

How much does it cost to build a harness for our company?

From €5,000 for a first working harness around a concrete use case. We work with a fixed-scope quote upfront, so no surprises. In the introductory call we determine together which use case fits and what the matching investment is.

Ready for an AI system that actually works?

Book a no-obligation consultation

30 minutes to see whether a harness fits your situation. Concrete use cases, honest assessment of feasibility and investment, no sales pitch.

100% no obligation
Fixed-scope quote upfront
Working system in 2-4 weeks
Book a consultation