Denis Hure

Managing Consultant at TL Agency & Consultancy. Denis Huré is the founder of Hipolyt, an AI-native behavioural rewards platform, and has spent more than 15 years building global reward infrastructure, including Reward the World, deployed across 40+ markets.

Incentives & Rewards Industry Brief – November 2026

by Denis Huré,  Managing Consultant, TL Agency & Consultancy Your Rewards Programme Is Now a Payment System. Criminals Have Already Noticed. Incentives & Rewards Industry Brief. Why the biggest threat to reward and incentive programmes has moved from the gift card rack to the browser, the issuing system and your own sign-up page, and what CEOs

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One Path to Value

FOR IMMEDIATE RELEASE TLA&C launches One Path to Value to help business leaders turn strategic opportunities into measurable results New advisory service supports boards, CEOs and investors in identifying growth opportunities, quantifying their value and driving delivery. 5th November 2026 –  TL Agency & Consultancy (TLA&C) announces the launch of One Path to Value, an

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Your AI Assistant Doesn’t Need to Be Hacked to Leak Your Data.

Your AI Assistant Doesn’t Need to Be Hacked to Leak Your Data.

In short: AI assistants such as Copilot, ChatGPT and Claude can leak confidential data without being hacked, through prompt injection and over-broad access. Documented incidents show which controls actually close the gap. Your AI Assistant Doesn’t Need to Be Hacked to Leak Your Data. It Just Needs to Read the Wrong Email. by Denis Huré,  Managing

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Dyson’s £970 Million Warning

Dyson’s £970 Million Warning

In short: Dyson’s engineering is still exceptional, but an inconsistent after-sales experience is eroding the premium it charges for. The gap between promise and service deserves board-level attention. Dyson’s £970 Million Warning:Why Premium Engineering Cannot Outrun Poor Customer Service. by Denis Huré Dyson is not dying today. But it is moving in a dangerous direction:

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The Case for a Dedicated Chief AI Officer

The Case for a Dedicated Chief AI Officer

The paper argues for appointing a Chief AI Officer (CAIO) once artificial intelligence becomes strategic and impactful within organizations. It highlights the need for dedicated expertise in managing AI governance due to its complexity and rapid changes, asserting that executive attention is limited and current tech portfolios are overburdened.

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Who Really Decides Whether AI Wins or Fails?

Who Really Decides Whether AI Wins or Fails?

The key to successful AI implementation lies not in ownership by IT leaders but in strategic accountability by the CEO. AI reshapes business functions, requiring CEOs to decide on its transformative impact, while CTOs manage technical aspects, and CAIOs drive organizational change. Leadership is vital for real value realization rather than technical success alone.

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The Great AI Misunderstanding

The Great AI Misunderstanding

The article discusses treating AI not merely as software but as a transformative General-Purpose Technology. Key insights include the importance of redesigning systems around AI rather than just deploying tools. This strategic approach enables organizations to achieve significant economic benefits, emphasizing the need for complementary investments in processes, skills, and governance.

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The US$2.5 Billion Lesson: Why Differentiation Wins When “Better” No Longer Does

The US$2.5 Billion Lesson: Why Differentiation Wins When “Better” No Longer Does

L’Oréal’s $2.525 billion acquisition of Aesop illustrates the power of brand differentiation in a saturated market. Aesop’s success stems from its unique approach, blending product efficacy with sensory experiences, and creating memorable retail environments. This challenges CEOs to prioritize meaningful differentiation over mere feature competition, ensuring lasting customer preference and brand value.

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Does AI Destroy Jobs

Does AI Destroy Jobs

The article discusses the complex relationship between AI and job displacement, challenging the narrative that AI solely destroys jobs. It reveals that while mass layoffs often attributed to AI may be strategic relabeling of workforce reductions, AI-driven transformations can also create new job categories in governance and technical roles, indicating a nuanced impact on employment.

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