Meet the Team

Craig Hartzel is the founder and CEO of Hartz AI. He trains SME teams to adopt AI tools they can use independently. He has trained over 500 employees across professional services, charities, sport governing bodies and real estate.

Craig built Hartz AI to give UK businesses a clear, practical path to AI capability. He works directly with SME teams, senior leaders and public sector organisations who want to use AI without the hype.

His approach is hands-on. He runs AI training programmes that leave teams confident enough to use AI tools the same week. He audits operations to find where AI saves real time. He works with leadership teams on long-term AI strategy.

Craig focuses on tools teams can run with independently. He does not sell ongoing dependency. His goal is to build capability, not create reliance on consultants.

He has hosted four Work and Pensions frontbenchers at the Finchley office, putting the case for practical AI training during ministerial visits to Hartz AI.

Rivka Abecasis leads AI compliance at Hartz AI. She helps clients use AI safely, legally and with confidence. She specialises in UK GDPR and AI data protection (opens in a new tab), risk controls and the practical steps organisations need as AI regulation tightens.

Her background spans compliance leadership, policy development and operational governance. She has worked with complex regulatory frameworks and knows how to turn rules into clear actions teams can follow.

At Hartz AI, Rivka builds compliance frameworks, reviews client workflows and advises on safe AI adoption as part of our AI governance services. She focuses on simple guidance, clear safeguards and reducing risk without slowing progress.

Clients trust her because she explains compliance in plain English and gives direct, workable advice. She makes AI safe to use, easy to govern and ready for future regulation.

Raul Parihuana builds AI agents at Hartz AI and proves they work before a client ever sees them. He designs the workflow automations and system integrations that let an agent do real work inside a business, then puts it through the testing discipline a production application would get.

His background spans both development and quality assurance, which is an unusual pairing. Most teams build first and test later, if at all. Raul does both, so the problems surface in his hands rather than in a client's.

At Hartz AI he builds custom agents and the automations behind them as part of our AI workflow automation work. Every one is tested end to end before it goes anywhere near live: the workflow itself, the systems it connects to and how it holds up under real use.

An AI agent that fails quietly is worse than no agent at all. Raul's job is to make sure ours do not.