"Hazelheartwood is a digital transformation consultancy focused on AI, delivering tailor-made solutions designed around each client’s unique context. We do not believe in one-size-fits-all approaches—both our solutions and processes are adapted to ensure relevance, efficiency, and impact.
What differentiates us is our commitment to value over delivery. We actively challenge inefficiencies, question assumptions, and push back on initiatives that do not create meaningful outcomes. Our goal is not just to execute projects, but to ensure that what is built is high-quality, scalable, and truly valuable.
We partner with clients end-to-end, from identifying opportunities to deploying and embedding solutions into their operations—ensuring long-term adoption. Guided by simplicity, deep thinking, and a strong focus on quality, we deliver solutions that create lasting impact. "
Nour Eid
AI Product Analyst
Nour Eid is an AI Product Analyst specializing in Generative AI and agentic systems, with a focus on evaluation, reliability, and scalable deployment. Her experience is rooted in the automotive sector, where she has contributed to one of the largest AI initiatives at Toyota Motor Europe.
Nour's work centers on testing and validating agentic systems in highly variable, non-deterministic environments, where each use case introduces unique behaviors and challenges traditional evaluation approaches. To address these challenges, she developed a comprehensive evaluation framework that has been adopted across multiple teams, enabling the delivery of more robust and production-ready AI systems.
She also designs AI maturity assessments and contributes to AI strategy initiatives, helping organizations define and measure AI value, identify high-impact use cases, and scale solutions that deliver measurable business outcomes.
14:30 - 15:00
Masterclass
Thu, Nov 26
Your Agent Works - So Why Is It Failing in Production?
Your agent passed every test, so why is it failing your users? The gap between demo success and production reality is where most agentic AI initiatives quietly break down, and traditional evaluation methods weren’t built to catch it.
Drawing on real-world experience building and validating agentic systems at Toyota Motor Europe, this session introduces an adaptive approach to evaluating non-deterministic agents, where no single framework fits all use cases. Attendees will leave with practical thinking tools to define what “production-ready” means in their context, and the confidence to scale systems that deliver real value.
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