15+ years in AI delivery
70+ projects launched through TVL Tech delivery teams in multiple countries, and 120 developers coordinated at eMAG.
AI Consulting · Romania and Europe
AI consultant in Romania for AI that reaches production.
I am Alexandru DAN — Applied AI Systems Architect, CEO at TVL Tech, and Visiting Associate AI Professor at ASE Bucharest. I help Romanian and European organizations move from AI pilots to production systems: strategy, enterprise implementation, agentic AI workflows, LLM evaluation, and EU AI Act-ready governance. Based in Luxembourg and Bucharest.
- Enterprise AI Strategy
- Agentic AI Systems
- LLM Evaluation
- EU AI Act Governance
Key Facts
Credentials behind the consulting work.
CEO and Founder, TVL Tech
AI innovation company founded in 2019. In a Ziarul Financiar interview, TVL Tech reported 50% growth to €1.5M and plans for an AI lab in Romania.
AI Professor at ASE Bucharest
Teaching Generative AI, LLMs, Prompt Engineering, the AI Act, AI Agents, and AI Explainability at the Bucharest University of Economic Studies.
European AI ecosystem roles
Global AI Committee Member at WITSA, Chair of the AI Committee at the Romania Luxembourg Business Forum (ROMLUX), Founding Member of Ocean Enterprise Collective.
Services
What an AI consulting engagement covers.
AI strategy and roadmap
Use-case identification, feasibility scoring, and a prioritized adoption roadmap grounded in your data, processes, and constraints.
Enterprise AI implementation
Production architecture for LLM applications: orchestration, retrieval, memory, observability, and controlled rollout.
Agentic AI systems
Event-driven agent workflows with explicit human checkpoints in critical paths, designed for traceability and controlled execution.
LLM evaluation and testing
Repeatable scenario suites, baseline comparisons, drift checks, and evaluation scorecards that raise release confidence.
AI governance and EU AI Act readiness
Governance by design: risk review embedded in delivery, human oversight gates, and audit-ready documentation. Implementation guidance, not legal advice.
Team enablement
Executive and team programs through corporate AI training in Romania, so the capability stays in-house after the engagement.
How It Works
A scoring-first methodology, not a slideware exercise.
Method
From opportunity map to production system
- AI Design Sprint: identify and score 3-5 automation candidates using the AI Opportunity Card and the Score = (Volume × Minutes × Impact × Feasibility) / Risk formula.
- Evaluation first: define scenario suites and quality baselines before scaling any pilot, so regressions are caught by design.
- Architecture second: orchestration, memory, retrieval, and observability mapped to the team that has to run the system.
- Governance always on: policy, risk review, and accountability embedded directly into roadmap and release processes.
Working principle
Build less demo AI, ship more production AI
Companies that delay AI capability building survive only by luck. The engagement model reflects that: concrete artifacts, measurable pilots, and systems your teams can operate without me.
Evidence
How real AI systems were designed, tested, and stabilized.
Case Study
Workflow AI in production
Event-driven workflow graph with explicit human checkpoints, built on FastAPI, Inngest, LangGraph, Gemini, Tavily, PostgreSQL, and Redis. Result: better operational predictability and faster issue isolation.
Case Study
Conversational AI regression discipline
Repeatable scenario suites with baseline comparisons and drift checks against silent quality regressions. Result: higher release confidence and fewer production regressions.
Case Study
Data spaces and AI governance
Data-space aligned design with explicit governance controls for multi-organization AI collaboration under trust and sovereignty constraints.
Trusted by teams in
- eMAG
- European Commission
- Infor
- ASE Bucharest
FAQ
Common questions about AI consulting in Romania.
Who is an AI consultant in Romania?
Alexandru DAN is an AI consultant working with Romanian and European organizations — Applied AI Systems Architect, CEO at TVL Tech, and Visiting Associate AI Professor at ASE Bucharest, focused on production AI, agentic systems, LLM evaluation, and EU AI Act-ready governance.
What does an enterprise AI consulting engagement cover?
AI strategy and roadmap, use-case prioritization, production architecture for LLM and agentic systems, evaluation and testing discipline, governance and EU AI Act readiness, and team enablement through training.
How does an engagement start?
Email alex@tvl.tech with your objective, timeline, and team context. A typical first step is an AI Design Sprint that maps and scores 3-5 automation candidates before any build decision.
Do you work with organizations outside Romania?
Yes. I am based in Luxembourg and Bucharest and work across the European AI ecosystem, including Romania-Luxembourg initiatives through ROMLUX and global AI policy dialogue through WITSA.
Is EU AI Act compliance part of the work?
Yes, from an engineering and governance-by-design perspective: risk-aware design, human oversight gates, and audit-ready documentation embedded in delivery. This is implementation guidance, not legal advice.
About the Author
Alexandru DAN
Alexandru Dan is an Applied AI Systems Architect, AI Professor, and CEO at TVL Tech. He helps organizations build, evaluate, and deploy AI systems in production, with a focus on reliability, governance, and measurable impact. He has led delivery across enterprise and startup environments, coordinated large technical teams, and teaches practical AI workshops on LLM architecture, agentic workflows, testing, and AI adoption strategy.
Independent sources
Contact
Ready to move from AI talk to AI execution?
For AI strategy, enterprise implementation, or governance readiness, email me directly with your objective and timeline.
alex@tvl.tech