— vakgebied 03

AI ecosystem.

AI agents in every workflow

An AI strategy is more than a ChatGPT subscription. We build an ecosystem of agents that take over concrete tasks — from intake to reporting. With proper governance, working integrations, and a team that embraces AI instead of fearing it.

— herken je dit?

signalen dat dit vakgebied urgent is.

  • 01Employees are using personal AI tools for work tasks.
  • 02Content production is the bottleneck for growth.
  • 03Management is asking for an 'AI strategy' without a concrete goal.
  • 04Compliance and legal departments are slowing down every AI pilot.

drie pijlers waar wij
op sturen.

Elk domein rust op drie fundamenten. Wij werken ze parallel uit zodat de transformatie zowel diepte als snelheid houdt.

pijler 01

AI workforce

Agents that (partially) autonomously handle content development, sales outreach, customer service, and curriculum maintenance.

pijler 02

Knowledge & governance

Vector databases with your own proprietary material, security frameworks, and human oversight in the right places.

pijler 03

Integration

Agents that communicate with your CRM, LMS, mailing, and finance systems — so AI is integrated into the workflow, not separate from it.

wat we oplossen.

De uitdagingen die we in dit vakgebied het vaakst tegenkomen — en waar wij scherp op ontworpen zijn.

Isolated AI pilots with no impact

Everyone is experimenting with ChatGPT, but no one is measuring results and nothing makes it to production.

Fear and resistance

Trainers and employees see AI as a threat instead of a relief.

Knowledge in silos

Valuable content and case studies are stuck in mailboxes and Google Drives — unusable for AI.

No governance

GDPR questions, customer data leaks, and model choices are handled ad hoc.

— onze aanpak

vier weken van scan naar werkende praktijk.

week 1

opportunity mapping

We identify where AI can deliver the most significant gains in time, cost, or quality.

week 2

agent design

For each use case: goal, prompts, tools, guardrails, and human handoff points.

week 3

build & test

Functional agents in your stack, tested with real data.

week 4

adoption

Training and playbooks for the team that will work with them daily.

— wat je krijgt

concrete opleveringen, geen dikke rapporten.

  • 3-6 production-ready AI agents
  • Prompt and knowledge library
  • Integrations with existing tools (CRM, LMS, email)
  • AI governance and security framework (GDPR-compliant)
  • Team playbooks and training materials

— losse producten

ook los af te nemen.

Wil je niet meteen een volledige transformatie? Kies één van deze afgebakende producten met vaste scope, doorlooptijd en prijs.

product

AI opportunity-scan

waar levert AI bij jullie het meeste op?

doorlooptijd
1–2 weken
investering
vanaf € 2.500
  • workshops met sales, content en operations
  • geprioriteerde use-case backlog (impact × haalbaarheid)
  • business case per top-3 agent
  • governance- en veiligheidsraamwerk

ideaal voor: organisaties met veel losse pilots zonder rode draad

product

AI-agent build

één productie-agent, live in jullie stack

doorlooptijd
3–4 weken
investering
vanaf € 4.500
  • agent-ontwerp met prompts, tools en handoff
  • koppeling met CRM, LMS of mail
  • human-in-the-loop review en logging
  • adoptie-training voor het team

ideaal voor: concrete workflow die eindeloos repetitief is

product

AI-governance & AVG-pakket

veilig AI gebruiken zonder juridische kramp

doorlooptijd
2 weken
investering
vanaf € 3.000
  • AI-beleid en acceptable-use policy
  • DPIA-template + verwerkersovereenkomsten
  • model- en data-classificatie
  • training voor directie en L&D

ideaal voor: instituten waar compliance elke pilot vertraagt

Combineer meerdere producten of ga voor het volledige traject — zie onze werkwijze.

— onze methoden & tools

de stack waarmee we werken.

Frameworks en technologie die zich in de praktijk hebben bewezen — geen buzzwords, wél resultaat.

methode

LLM's model-agnostisch

Gemini, GPT, Claude, open-source Llama — chosen per use case.

methode

Retrieval Augmented Generation

So agents respond based on your own material, not fabrications.

methode

Vector databases

Supabase pgvector, Pinecone, or Weaviate, EU-hosted.

methode

Agent-frameworks

LangGraph, custom orchestration with human-in-the-loop.

methode

Observability

LangSmith or custom logging for quality and cost monitoring.

6

production agents live within one quarter

−35%

time per lead analysis and outreach

100%

100% EU hosting and GDPR-compliant design

— uit de praktijk

from 4 hours to 20 minutes per lead file.

corporate training consultancy

We built an agent that combines public sources with internal CRM data to instantly draft a personalized proposal. The sales consultant reviews and sends it.

resultaat12× more proposals per month

— wat het oplevert

resultaten die je terugziet in omzet, tijd en trots.

01

20-40% time savings on repetitive work

02

Faster content and program development

03

A team that sees AI as a colleague, not a threat

— veelgestelde vragen

wat opdrachtgevers ons vaak vragen.

Which AI models do you use?+

We are model-agnostic: Gemini, GPT, Claude, open source — depending on the use case, cost, and privacy requirements.

What about privacy and GDPR?+

We work with EU hosting, data minimization, and data processing agreements by default. No customer data leaks into model training.

What if a model changes or becomes more expensive?+

Our architecture is model-agnostic. Switching takes days, not months.

— volgend vakgebied

growth & marketing.

From SEO to funnels — a growth engine that fits your DNA.