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Belgium 10-09-2026 Squad Only Physical english

Building the Infrastructure AI Needs: From computer and data access to scalability, cost control, and operational readiness.

AI is moving from pilots into operational use, and the infrastructure question is becoming more concrete. The challenge is deciding what needs to be built, expanded, controlled, or delayed as usage grows. Three pressure points usually appear first. - Compute capacity requires careful planning: teams need enough GPU, cloud, or specialised processing power, while keeping utilisation and cost under control. - Data movement becomes more demanding: AI needs access to data across systems, with latency, security, integration, and quality managed from the start. - Operational control becomes essential: monitoring, access rights, resilience, cost visibility, and ownership need to scale with usage. The working question is simple: how do we support AI at scale while keeping infrastructure efficient, governed, and financially sustainable? If you are working through these choices, let’s compare approaches with others facing similar constraints.

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.

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Revolutionizing customer service: ERGO Insurance uses AI and Microsoft Azure to provide 24/7 personalized support

Providing top-tier customer service is a cornerstone of ERGO. To serve thousands of customers sustainably, ERGO Insurance used a Microsoft Azure-powered AI Virtual Agent (VA) developed by EBO. The solution revolutionized the company’s customer service by providing personalized, 24/7 assistance.

ERGO Insurance, a part of the ERGO Group, is committed to offer comprehensive insurance, pensions, and investment services. "Our goal is not just to offer top-tier insurance services, but also top-tier customer experience," begins Rea Theleriti, Chief Customer and Digital Transformation Officer at ERGO Insurance.

However, this goal came with a challenge: sustainably serving thousands of customers round-the-clock. To overcome this, ERGO Insurance wanted to revolutionize its approach, starting with its call centers. “Over the years, we have been focusing on instilling excellence in our intermediaries,” Theleriti explains. “More recently, we started looking into innovating the whole customer journey. We wanted to create an omnichannel experience for our customers, where they could use their preferred communication channels.”

Taking a step forward, ERGO Insurance cooperated with EBO, a Microsoft partner and leader in customer engagement automation, to implement, Χαρά (Joy), an artificial intelligence (AI)-driven Virtual Agent (VA) built on Microsoft Azure.

Technology with a human touch

What makes the Virtual Agent particularly unique in the Greek insurance market is its outstanding recognition rate. Χαρά was built using Natural Language Processing (NLP), Machine Learning techniques, Azure Cognitive Services, and Azure Bot Services. EBO’s NLP experts worked with ERGO Insurance and Microsoft to build a VA that can have two-way human-like conversations with customers. The VA’s sentiment analysis can identify users’ emotions and adapt to the conversation accordingly. Finally, Χαρά’s machine learning capabilities keep its language library updated, enabling the VA to learn, adapt and handle more complex tasks.

With these features, the VA can handle both predefined and open-ended questions. “The Virtual Agent’s 95.5 percent recognition rate allows it to understand messages from customers and respond appropriately,” explains Konstantinos Chatzisymeon, Chief Information and Processes Transformation Officer at ERGO Insurance.

Combined with a conversational tone and the ability to communicate in 'Greeklish', a blend of Greek and Latin characters, users experience a more personal touch than with usual chatbots. "We aim to communicate with our customers in whichever way they prefer," explains Theleriti. “The more dialogues and services we offer, the more we can understand our customers. And though it may be a competitive advantage now, a Virtual Agent will become standard practice in the future.”

Simpler, more personalized interactions

One version of the Virtual Agent mainly addressed frequently asked questions (FAQ), enabling customers quick access to information regarding insurance coverage, emergency procedures, and more. While this helped with decreasing the workload for one-touch tickets, ERGO Greece wanted to create a more personalized experience. It integrated the VA directly into its core systems to offer more functions and perform a variety of operations.

The VA was then deployed to assist with policy renewals, enabling customers to verify their payment amounts and methods. Moreover, users could register for the customer portal via the VA. “It walks customers through registration with a dialog-driven process, which is more personal than filling in a standard form by yourself,” elaborates Theleriti. “This makes people feel more comfortable, and that encourages more sign ups.”

Happier, more engaged customers

Within four months of using Virtual Agent, ERGO Greece saw better customer experience. "Achieving 85 percent customer satisfaction rate for dialogues initiated through the VA is a great sign. It shows that our users are happy with these interactions," remarks Theleriti.

Providing 24/7 support has also had a positive impact on the company’s policy renewal process. Typically, once customers are sent a notification to renew their policy, they would have to find the notice and contact an agent or call center. Since the burden of the process lies on the customer, some may just forgo renewing their policies.

Now, the renewal process is simplified with the VA. Customers can request and access information easily even without specific policy details. They only need to provide their name and tax identification number or vehicle plate number. They can then make the payment online. “Customers sometimes renew their policy twice a year, so the easier we make it for them to make payments, the more value we are offering as a company. Having the VA significantly helps us manage the payment system, as we’re handling around 3,000 transactions per month,” describes Theleriti.

Effective human-AI partnership

While the VA can fully operate automatically, ERGO Insurance has full control over conversational workflows and can manage, build, or enhance conversation flows at any point in time. Should a customer conversation require human intervention, Χαρά automatically transfers the conversation seamlessly to a human agent. “In four months, 83 percent of chats were completely handled end-to-end by the VA. This has eased our agent workload and enabled us to focus on more complex business tasks,” says Theleriti.

Following the successful pilot phase, ERGO Insurance is set to implement further use cases of the VA. The company is hoping that it will become the starting point for many core processes, including renewals and claims. “The most crucial consideration is how we integrate technology into our customer journey. If it's supplementary, it won't create value, and people won't use it,” elaborates Chatzisymeon. “Our goal is to digitize and automate our processes to truly revolutionize the experience by making the interaction conversational via the VA.”

“EBO is proud to have collaborated with ERGO Insurance on its digital transformation journey,” shares Dr. Gege Gatt, CEO at EBO. “We are excited about the future potential of the VA to serve as the starting point for many of ERGO Insurance’s core processes. EBO remains committed to integrating technology seamlessly into the customer journey to create truly transformative experiences."

Reflecting on the journey so far, Theleriti notes, “I place great value on our partners, EBO and Microsoft, and our staff who implemented this solution. Transformation isn't solely driven by technology. How we use technology and what we choose to do with it is most critical in how we’ll transform customer experience in the future.”

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