AI agents that work for you — not against compliance.
Agentic AI & GDPR Compliance
Custom AI agents built on AWS Bedrock that automate workflows and augment your team — EU-compliant from day one, with your data staying in the EU.
What is Agentic AI & GDPR Compliance?
An AI agent is software that perceives context, plans multiple steps, and carries out a task on its own — well beyond a single chatbot reply. I build agents on AWS Bedrock that ground their answers in your own documents through retrieval-augmented generation (RAG), keep a human in the loop for critical decisions, and run entirely within the EU. Every architecture is GDPR-compliant by design: inference stays in EU regions, your data is never used to train models, and audit trails and consent handling are built in. It suits companies that want to automate document-heavy or knowledge-heavy workflows without sending data outside the EU.
Agentic AI goes beyond simple chatbots. I build autonomous AI agents on AWS Bedrock that understand context, plan multi-step actions, and execute complex workflows — all while keeping your data within the EU.
The agents leverage Retrieval-Augmented Generation (RAG) to ground responses in your actual business data, reducing hallucinations and increasing accuracy. Combined with human-in-the-loop safeguards, you get AI that's powerful yet controllable.
Every solution is architected with GDPR compliance from the start: data residency in the EU (dedicated region like Frankfurt/eu-central-1, or across EU regions for cheaper and faster inference), no training on your data, full audit trails, and consent management built in.
Key Benefits
EU-Compliant by Design
All data processed in AWS EU regions. No model training on your data. Full audit trails and consent management.
Grounded in Your Data
RAG pipelines ensure AI responses are based on your actual documents and knowledge — not generic training data.
Human-in-the-Loop
Critical decisions stay with humans. Agents handle the heavy lifting; your team keeps control.
What's Included
Use Cases
Proof, not just promises
I run my own products on the same AWS serverless stack I build for clients. GeoHook — a live geofencing-to-webhook service — is built end to end on AWS Lambda, DynamoDB, and API Gateway and deployed as Infrastructure as Code. It's a working example of the architecture, reliability, and cost model described on this page.
Frequently Asked Questions
What is AWS Serverless and why should I care?
AWS Serverless means you run applications without managing servers. Services like Lambda, DynamoDB, and API Gateway automatically scale with demand and you only pay for actual usage. This eliminates idle server costs, reduces operational overhead, and lets your team focus on building features instead of maintaining infrastructure.
How do you ensure GDPR compliance for AI solutions?
I build on AWS Bedrock, which processes data in the EU region (Frankfurt) and doesn't use your data for model training. All my AI architectures include data residency controls, consent management, and audit trails. I design for GDPR compliance from the start — it's not an afterthought.
What does a Fractional CTO engagement look like?
A Fractional CTO engagement typically starts with a technology audit and strategy session. From there, I work with you on an ongoing basis — usually a few days per month — covering architecture decisions, team mentoring, vendor evaluation, and roadmap planning. You get C-level expertise without the full-time salary.
How much can serverless save compared to traditional infrastructure?
Most clients see 40-70% cost reduction after migrating to serverless. The savings come from eliminating idle compute costs, reducing ops overhead, and paying only for actual usage. I provide a detailed cost analysis before any migration to quantify your specific savings potential.
Do you work with international clients?
Yes. I work with clients across Europe and beyond, with experience in cross-border data compliance and multi-region AWS deployments. My GDPR expertise is particularly valuable for companies operating in or selling to the EU market.
What's the typical engagement timeline?
It depends on the scope. A serverless architecture review takes 1-2 weeks. An AI agent MVP typically takes 4-8 weeks. A full cloud migration can span 2-6 months. In a free initial call, I'll map out a timeline tailored to your specific needs and priorities.
Let's Build Something Great
Ready to transform your ideas into reality? Let's discuss how we can help.
Get in Touch