AI Development Consultant
Built for European Compliance and Scale

Compliance

GDPR is an architecture constraint, not an afterthought

Data residency, consent management, and Article 22 obligations are built into the system design from the first conversation — not retrofitted before a security audit.

Governance

The AI stays under your control

Proper audit trails, human-in-the-loop checkpoints for high-stakes decisions, and monitoring that shows exactly what the system is doing and why.

Longevity

Built to survive internal review and vendor churn

Abstraction layers, provider-agnostic design, and documentation that lets your internal team own the system without depending on a specific consultant forever.

Autonomous AI Agents

Agents that reason and execute tasks with proper fallbacks, audit logs, and human-in-the-loop escalation — designed to satisfy regulated-industry requirements.

RAG Pipelines

Connect LLMs to your company knowledge base — documents, ERP exports, internal wikis — with EU data residency options where required.

LLM Integration

OpenAI, Anthropic, Mistral, Azure OpenAI with EU data residency — integrated with provider abstraction so you are not locked in.

Document Processing Automation

Extract, classify, and route structured data from contracts, invoices, regulatory filings, and compliance documents — at volume, without humans in every step.

Internal Workflow AI

AI added to existing internal tools, ERP integrations, approval workflows, and knowledge management systems — without forcing a platform change.

AI Observability and Cost Control

Monitoring, cost dashboards, drift detection, and alerting — so your AI operates predictably and your usage costs do not surprise finance.

GDPR is not an obstacle — it is a design constraint I work with

Most US-trained AI developers treat GDPR as something to deal with later. I account for data residency, consent design, retention policy, and Article 22 obligations from the first architecture conversation.

I build AI that your internal team can govern

A system your team cannot understand, audit, or change is a vendor dependency. I build with proper documentation, abstraction layers, and handoff processes so your engineers own what I build.

I can advise AND build — European companies usually need both

Many AI consultants give you a strategy. I give you a strategy and build the system. Advisory and implementation in one engagement, without the overhead of two separate vendors.

Provider-agnostic architecture

I do not resell a specific model or cloud vendor. I choose the right tool for the job — OpenAI, Anthropic, Mistral, self-hosted — and design the system so you can switch without a rebuild.

Written-first, async-friendly delivery

Architecture documents, decision rationale, and implementation plans structured to survive internal review by legal, security, procurement, and engineering. Not just a call summary.

European time zones, procurement-compatible process

I work with teams from the UK to Germany to the Nordics. I am comfortable with NDA-first processes, written scoping agreements, and procurement requirements that US-style "just hop on a call" agencies cannot handle.

How do you handle GDPR compliance in AI systems?

I design AI architectures with data residency, consent flows, and retention policies from the start — not as afterthoughts. This includes choosing EU-hosted model providers where required, implementing proper anonymisation before data leaves your systems, and ensuring audit trails that satisfy GDPR Article 22 obligations around automated decision-making.

Can you work with companies in Germany, France, the Netherlands, and the UK?

Yes. I work with European companies across all time zones. Most engagement communication is written-first and async, with scheduled calls when needed. Architecture documents and recommendations are structured to survive internal review by engineering, legal, and procurement stakeholders.

Do you use EU-hosted AI models, or only US providers?

Both, depending on requirements. For companies with strict data residency obligations I can use EU-hosted inference providers, self-hosted open-source models (Mistral, LLaMA), or Azure OpenAI with EU data residency guarantees. The right choice depends on your compliance posture, latency requirements, and cost model.

Can you add AI to our existing software without a full rebuild?

Yes. Most European enterprise AI work is integration, not greenfield. I connect AI capabilities cleanly to existing systems — ERP, CRM, document workflows, internal tools — without forcing a platform change.

What does an AI consulting engagement typically cost for a European company?

Scoping and advisory work is available from a few thousand euros. Full AI feature implementation is project-priced. I give fixed quotes after a scoping call — no ambiguous "time and materials" engagements that balloon mid-project.

Do you have experience with regulated industries such as finance, healthcare, or manufacturing?

Yes. I have built AI features for products operating under regulatory constraints. The work includes identifying which actions require human approval, building audit logs, and designing for explainability where regulators require it.