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Van der Slot AI

Data Infrastructure & AI Automation

We build AI systems that deliver measurable efficiency gains — on-premise or in the cloud.

AI automation flow — inputs processed by AI engine producing automated outputs

The AI Timeline — Where You Need to Be

Today

Companies should be automating simple, repetitive workflows — document processing, data entry, email drafting, verification tasks.

In 2 Years

Departments of 20 will run with 5 — managing AI workflows and handling the work that requires human judgment. Strategic thinking, client relationships, complex decisions.

Waiting doesn’t save money. It costs money — you just don’t see the invoice yet.

Real Results — Scale and Speed

ClientWhat We BuiltResult
Government AgencyAI infrastructure for 30,000 users: Chatbot, Agents and rapid Development5x faster delivery — projects that took years now ship in months
Logistics CompanyPlanning automation, AI pricing agent, Administration Agent, Fault Scanning10–40% Efficiency increase per Team

These aren’t projections. These are measured outcomes from production systems.

n8n workflow automation diagram
Infrastructure architecture diagram

We Build Both On-Premise and Cloud AI

On-Premise AI Infrastructure

For organizations with the highest privacy and security standards. We physically build AI servers, configure local model deployment, and ensure your data never leaves your premises.

Best for: Government, healthcare, legal, financial services, sensitive IP

Cloud AI (+ Data Privacy Guarantees)

For fast rollout and access to the latest models. We deploy on Azure (EU data residency), with GDPR compliance and European AI Act alignment built in.

Best for: Speed to production, scaling quickly, latest model capabilities

Hybrid

Many clients use both: sensitive data stays local, general workloads go to cloud. We architect for flexibility.

Deployment options — Cloud, On-Premise, and Hybrid models

We Build AI That Evolves With the Technology

The AI landscape changes monthly. New models, new tools, new capabilities. Most AI implementations become outdated the moment they’re finished.

Our approach: Architecture over tools.

LayerWhat ChangesHow We Handle It
ModelsGPT-5, Claude 4, Llama 5, better local modelsAbstraction layers — swap models without rebuilding
ToolsOrchestration and automation tooling evolves fastModular architecture — tools are replaceable, not hardcoded
AgentsFrom task automation to full department agentsSystems designed to scale from simple workflows to autonomous agents

In practice: New model drops? We swap it in — your system gets smarter automatically. Better orchestration tool emerges? We migrate without disrupting operations. AI agents become production-ready? Your infrastructure is ready to deploy them.

Modular architecture stack — current systems integrated with AI modules

What’s Worth Automating — And What’s Not

Every organization is different. But after deployments across public sector and mid-sized companies, we’ve learned which types of processes deliver ROI.

High ROI — Worth Prioritizing

Process TypeWhy It Works
Repetitive manual tasksSame steps every time, even if complex — AI handles volume
Document & data processingContracts, forms, intake, extraction — high volume, rule-based
Email & communication automationDrafts based on your tone, templates, and context — humans tweak, not write from scratch
System integrationConnecting tools that don’t talk to each other — eliminates manual handoffs
Verification & list checkingEmployees scanning spreadsheets, verifying data, spotting errors — AI checks faster and doesn’t get tired

Lower ROI — Often Overhyped:

  • “AI exploration” without defined success metrics
  • Replacing judgment-heavy decisions too early

We assess your specific situation and help you pick the right battles first.

ROI impact analysis — high ROI vs overhyped automation areas

Case Studies

Case Study — Government Client (30,000+ Users)

Client: Government Agency

Challenge: Roll out AI capabilities to 30,000+ users while meeting strict security, privacy, and compliance requirements.

What we delivered:

ProjectResult
IT Asset Management systemCentral registry of all software, hardware, assets & dependencies — delivered in 4 months, previously done in 2 years
Domain knowledge chatbotScalable RAG system deployed to 30,000 users
Data cleaning5 million lines cleaned with AI — planned for 5 people over weeks, done in days
InfrastructureOn-premise AI servers, compliant with government standards, GDPR, EU AI Act

Key insight: Government-grade security and startup-speed delivery aren’t mutually exclusive — if you know the stack.

Case Study — Logistics Company

Client: Mid-sized logistics company

Challenge: Manual processes across planning, sales, and HR were limiting growth and burning out the team.

What we delivered:

ProjectResult
Route pricing requestsAI agent handles pricing automatically, employee checks in 1–5 minutes
Route, employee & truck planning5 FTE — AI handles base plans and starting tasks, planners focus on complex work
Invoice & list verificationAI scanner checks automatically, flags exceptions only

Key insight: 4 FTE equivalent in time saved. Team focuses on client relationships and complex planning, not repetitive checks.

Our Team

Niels van der Slot

Niels van der Slot

MSc Econometrics / Applied Statistics

8+ years in AI and data infrastructure. Siemens, Volkswagen, Government.

Johannes Detjen

Johannes Detjen

MSc Bioinformatics

11+ years in cloud and AI. CERN, medical diagnostics, automotive, telecom.

What sets us apart:

  • We’ve built AI for 30,000+ users — we’ve handled scale.
  • We physically build servers and write production code.
  • We’ve seen dozens of use-cases succeed and fail — we know where to focus.
  • Active across Netherlands, Germany, Austria & Switzerland — we understand local compliance and business culture.

From First Call to Production in 8–14 Weeks

PhaseWhat HappensDuration
AssessIdentify highest-ROI use-cases, technical feasibility1–2 weeks
ArchitectInfrastructure design, security, compliance plan1–2 weeks
BuildWorking system, integrated, tested4–8 weeks
DeployProduction rollout, monitoring, knowledge transfer1–2 weeks

No endless discovery. We build.

5-step implementation process — Discovery, AI Audit, Build MVP, Validate, Scale

Let’s Identify Your Highest-ROI AI Opportunity

Your next step: A free call to assess where AI can (and can’t) help your operations flourish.

Free AI Audit

You'll get:

  • An assessment if your company is ready for AI automation
  • Your top automation opportunities — ranked by ROI
  • A rough estimate of savings and revenue potential

Niels van der Slot

niels@vanderslot.ai

Van der Slot AI — AI that ships.