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Belgium 15-09-2026 Squad Only Virtual english

Turning AI Pilots into Daily Workflows: How to move from experimentation to adoption by redesigning work, ownership, controls, and habits.

AI pilots are easier to launch than to embed into daily operations. The challenge is changing how work happens once AI becomes part of decisions, tasks, handovers, and controls. Three pressure points tend to decide whether adoption holds. - Workflow fit matters: AI has to enter the flow of work as part of the process. - Ownership needs to be clear: someone must own the process, the controls, the exceptions, and the outcome. - User trust has to be built: people need to know when to rely on AI, when to challenge it, and when to escalate. The working question is simple: how do we move AI from promising pilots into daily work while keeping clarity, accountability, and risk control? If this is part of your current reality, let’s compare choices, constraints, and lessons learned.

Belgium 17-09-2026 Country Members Physical french

Les Rencontres: CTO: Le Saint Graal?

Pendant longtemps, le TCO donnait une impression de contrôle. On investissait, on amortissait, on optimisait. Les coûts étaient visibles, relativement prévisibles, et structurés autour d’une logique claire entre CAPEX et OPEX. Ce modèle ne suffit plus à expliquer où va réellement l’argent. Aujourd’hui, une part croissante des dépenses IT ne repose plus sur ce que l’on possède, mais sur ce que l’on consomme: des tokens générés par l’IA des agents qui exécutent des actions en continu des outils SaaS qui se multiplient dans les équipes du cloud qui s’adapte en permanence à l’usage Le coût ne disparaît pas, mais il devient plus diffus, plus dynamique, et souvent plus difficile à attribuer, à expliquer, et à maîtriser. C’est là que des approches comme le Technology Business Management, ou TBM, redeviennent particulièrement utiles: non pas comme un exercice de reporting supplémentaire, mais comme un moyen de relier concrètement les dépenses aux services, aux usages, et aux décisions. Et c’est là aussi que la question du “Saint Graal” revient, mais sous une autre forme. Vous vous demandez peut-être: Comment garder de la maîtrise quand la dépense dépend du comportement, des usages, et parfois même de systèmes autonomes ? Comment piloter l’équilibre CAPEX/OPEX quand le cloud, le SaaS et l’IA déplacent progressivement les coûts vers des modèles variables ? Quels coûts restent encore trop souvent hors radar: ressources métier, formation, support, intégration, sécurité, gouvernance ? Et surtout, qu’est-ce qu’un “bon TCO” veut encore dire quand il faut le mettre en regard d’objectifs parfois plus stratégiques, plus longs à mesurer, ou plus difficiles à quantifier: qualité de service, résilience, agilité, expérience utilisateur, capacité d’innovation ? Ce sont précisément ces questions qui seront au cœur de notre rencontre: une discussion ouverte entre pairs, ancrée dans la réalité du terrain, pas pour débattre de modèles idéaux, mais pour comprendre comment chacun tente, concrètement, de mesurer, d’attribuer et de reprendre le contrôle, sans réduire la valeur d’un choix technologique à son seul coût.

Belgium 25-09-2026 Squad Only Physical english

Managing Team Capacity Under Continuous Change; How to sequence initiatives, protect capacity, and maintain execution

Transformation has become constant. The challenge is managing the amount of change teams are expected to absorb while they continue to deliver existing work. Three pressure points show up quickly. - Capacity becomes stretched when teams face new tools, processes, AI practices, security requirements, and operating model changes at the same time. - Prioritisation becomes critical when many initiatives compete for attention. - Managerial discipline becomes essential because leaders need to decide what to stop, simplify, delay, or protect. The working question is simple: how do we keep transformation moving while giving teams enough focus and capacity to execute it properly? If your teams are absorbing constant change, let’s compare how others are managing capacity, sequencing, and focus.

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Akbank increases customer engagement by up to 70% with Jasper

By leveraging generative AI, Akbank transformed their marketing strategy, ensuring consistency, engagement, and efficiency.

"Jasper enables us to accelerate our creative processes and structure ideas more effectively, significantly enhancing our brainstorming capabilities and overall content strategy."

Akbank

Digital Marketing Team

The Challenge: Enhancing Content Creation

Akbank, a leading financial institution, strives to deliver the best to its customers, driving the need for ongoing enhancements and system improvements. Leading the innovation within the company, Akbank LAB builds the future of finance by creating new products and services. The team partners with fintechs and tech companies to test innovative banking solutions.

In the competitive environment, Akbank recognized the challenge of maintaining a consistent and engaging content strategy. Their digital marketing team was dedicated to creating high-quality content to connect effectively with customers. This led to the need for a solution to enhance customer engagement and generate captivating campaign content strategies, all while ensuring operational efficiency.

The Solution: Harnessing Jasper's Multifaceted Features

Akbank’s team identified an opportunity to leverage generative AI and chose Jasper as a result of its marketing-specific focus. Akbank LAB initiated a proof-of-concept test run with their digital marketing team to enhance content creation and efficiency. As part of this, Jasper was primarily used to craft engaging and personalized push notification and SMS marketing campaigns, ensuring each message resonated with recipients while aligned with Akbank's brand voice.

By collaborating with their dedicated Customer Success Manager, the Akbank team broadened its understanding of generative AI’s capabilities. They mastered key features like prompt writing in Jasper Chat to brainstorm and create the full campaigns, brand voice for consistent messaging, and the knowledge base to host comprehensive information about their banking products. Automating these tasks enabled Akbank to respond quickly to market trends and customer needs, significantly boosting its overall marketing efficiency and effectiveness.

Achieving Tangible Results: Time Efficiencies and Higher Engagement Rates

Akbank compared Jasper’s outputs to the previous systems across multiple use cases and found Jasper consistently more efficient. Their dedicated efforts paid off with a remarkable 3% increase in response rates and a 40% reduction in content creation time across ten campaigns within three months.

Beyond these impressive numbers, Jasper proved invaluable for sparking creativity and generating fresh push notification and SMS campaigns. This collaboration addressed Akbank’s dedication to perfection in content development and set the stage for future growth. By leveraging AI, they transformed their marketing strategy, ensuring consistency, engagement, and efficiency.

Founded in 1948, Akbank is a premier Turkish bank offering a comprehensive range of services, including corporate, investment, commercial, SME, and retail banking, as well as private banking and payment systems. Serving over 13 million active customers, Akbank’s innovation center Akbank LAB leads digital transformation through investments in cutting-edge technologies such as blockchain, Web 3.0, generative AI, and advanced analytics, providing customers with next-gen solutions. Demonstrating a solid commitment to sustainability, Akbank aims to provide 800 billion TL in sustainable financing by 2030 and achieve a net-zero carbon footprint by 2050. Recognized internationally, the bank has received prestigious awards for its excellence in digital innovation and sustainability initiatives.

Headquarters: Istanbul

Company Size: Enterprise (1,000+ employees)

Industry: Finance

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