AI and the Executive Table

Kenza Ait Si Abbou

The Podcast where AI meets real world decisions Kenza Ait Si Abbou Lyadini | Scailers GmbH AI and the Executive Table is the podcast for C-suite leaders and board members navigating the real decisions of AI transformation. Hosted by AI strategist and Spiegel bestselling author Kenza Ait Si Abbou, each episode unpacks the human, organizational, and technological shifts that turn AI from boardroom pressure into lasting business value. No hype. No theory. Just the conversations that matter at the top. ------- About Kenza Kenza Ait Si Abbou-Lyadini is one of Germany’s most sought-after voices on AI transformation and leadership in uncertain times. Born in Morocco, she studied electrical engineering in Spain and industrial engineering in Berlin. As a former CTO and board member at Fiege Logistik, as well as a senior manager at IBM and Deutsche Telekom, she brings operational credibility across all scales, from global technology conglomerates to complex family-run businesses. Today, she is the founder and CEO of Scailers, an AI consultancy focused on sustainable transformation. Her work combines AI strategy, leadership and governance. Kenza is the author of three Spiegel bestsellers, including 'Keine Panik, ist nur Technik' (, 'Menschenversteher' nominated for the German Business Book Award and 'Meine Freundin Roxy', which was adapted into a fulldome film. She regularly appears on TV, radio and in print as a sought-after expert on AI and digital transformation. In 2020, 'Capital' magazine named her one of the Top 40 Under 40 in Germany, and in 2021, the 'Handelsblatt' named her a “pioneer of transformation”. Hosted on Acast. See acast.com/privacy for more information.

  1. 1d ago

    AI-Augmented Forecasting

    Show Notes Most executive decisions are forecasts in disguise. 'Will this market grow?' 'Will this AI initiative deliver ROI?' 'Will this acquisition integrate well?' These are all probability estimates — and most leadership teams make them without any structured method, relying instead on experience, intuition, and the confidence of whoever speaks loudest in the room. In this episode, Kenza and Pascal explore two landmark studies on AI-augmented forecasting and what they mean for executive decision-making. The first, by Halawi et al. (NeurIPS 2024), shows that a retrieval-augmented AI system can approach the forecasting accuracy of competitive human forecasters — and that combining AI and human judgment always outperforms either alone. The second, by Schoenegger et al. (2025, co-authored with Philip Tetlock, the world's leading expert on forecasting), shows that AI assistance improves human forecasting accuracy by 24–28% — even when the AI assistant is deliberately biased and overconfident. The key insight: the benefit is not just informational. It is cognitive. Engaging with an AI perspective — even an imperfect one — forces assumption-surfacing, reduces overconfidence, and makes human judgment measurably more accurate. The Brier Score — a rigorous calibration metric that measures how well-calibrated probability estimates are, not just whether someone was right or wrong — confirms the improvement is real and quantifiable. For boards making high-stakes decisions under uncertainty, this is not a hypothetical. It is a demonstrated, quantifiable capability that most executive teams are not yet using systematically. Key Takeaways Combining AI forecasts with human judgment always produces better outcomes than either alone — confirmed across thousands of forecasting questions.AI assistance improves human forecasting accuracy by 24–28%, measured by the Brier Score — the gold standard for calibration.The benefit is cognitive, not just informational: AI forces you to surface assumptions you didn't know you were making and reduces overconfidence even in experienced forecasters.AI performs best exactly where boards struggle most — in the 30–70% uncertainty range where nobody is sure and overconfidence is highest.Most executive teams use AI to summarize and report. The studies suggest they should be using it to challenge assumptions before the decision is made.The practical starting point: pick one recurring decision type, introduce probability language, track outcomes, and score calibration over time. Hosted on Acast. See acast.com/privacy for more information.

    AI-Augmented Forecasting
  2. Sep 22

    Data Governance & Trust

    Most organizations have data governance policies. Far fewer have data governance that actually works when it meets day-to-day operations. In this episode, Kenza and Pascal move beyond the theory and into the uncomfortable reality: why governance frameworks fail, why data quality is a leadership responsibility that nobody owns, and why the difference between having data and trusting data is exactly where most AI projects quietly fall apart. The episode closes with a line worth writing down: a dashboard can be technically correct and still be organizationally untrustworthy. And another: trust should be earned by the system, not requested by the project team. Key Takeaways •      Data governance only works when it protects value and speeds decisions — not when it is purely a compliance exercise people route around. •      The business owns the meaning of data. Technology owns the enablement. Governance connects the two. •      AI did not repeal garbage-in, garbage-out. It just made the garbage more eloquent. LLMs can mask data quality problems — which makes them more dangerous, not less. •      Trust in data must be built progressively: low-stakes decisions first, visible provenance, measurable error rates, and explicit human override. •      The opposite risk is equally dangerous: executives who trust the data too much. Confidence is not evidence. Mature organizations institutionalize questioning. Hosted on Acast. See acast.com/privacy for more information.

    Data Governance & Trust

About

The Podcast where AI meets real world decisions Kenza Ait Si Abbou Lyadini | Scailers GmbH AI and the Executive Table is the podcast for C-suite leaders and board members navigating the real decisions of AI transformation. Hosted by AI strategist and Spiegel bestselling author Kenza Ait Si Abbou, each episode unpacks the human, organizational, and technological shifts that turn AI from boardroom pressure into lasting business value. No hype. No theory. Just the conversations that matter at the top. ------- About Kenza Kenza Ait Si Abbou-Lyadini is one of Germany’s most sought-after voices on AI transformation and leadership in uncertain times. Born in Morocco, she studied electrical engineering in Spain and industrial engineering in Berlin. As a former CTO and board member at Fiege Logistik, as well as a senior manager at IBM and Deutsche Telekom, she brings operational credibility across all scales, from global technology conglomerates to complex family-run businesses. Today, she is the founder and CEO of Scailers, an AI consultancy focused on sustainable transformation. Her work combines AI strategy, leadership and governance. Kenza is the author of three Spiegel bestsellers, including 'Keine Panik, ist nur Technik' (, 'Menschenversteher' nominated for the German Business Book Award and 'Meine Freundin Roxy', which was adapted into a fulldome film. She regularly appears on TV, radio and in print as a sought-after expert on AI and digital transformation. In 2020, 'Capital' magazine named her one of the Top 40 Under 40 in Germany, and in 2021, the 'Handelsblatt' named her a “pioneer of transformation”. Hosted on Acast. See acast.com/privacy for more information.

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