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Belgium 10-09-2026 Squad Only Physical english
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.
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Belgium 15-09-2026 Squad Only Virtual english
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.
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Belgium 17-09-2026 Country Members Physical french
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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CIONET Trailblazer: CISO: The Shift from Prevention to Resilience: Turning Visibility into Execution
Published on: January 28, 2026 @ 9:48 AM
CIONET Trailblazer: AI Transformation: Bridging the Cultural Divide to Achieve Competitive Advantage
Published on: December 17, 2025 @ 9:16 AM
From Inbox Chaos to Structured Service: How Colruyt Group Reclaimed 2,200 Hours with AI
Colruyt Group partnered with Tekst to solve a major bottleneck: thousands of unstructured customer emails were slowing teams and reducing Salesforce adoption. In just one quarter, Tekst’s AI processed 310,000 conversations, saved 2,200 hours of manual work, and transformed inbox chaos into structured, actionable workflows.
For a company like Colruyt Group, operational efficiency is more than a goal, it’s part of the brand promise. Known for delivering low prices without compromising service, Colruyt has built one of the most respected retail ecosystems in Europe. But as customer interactions grew in complexity and volume, the company discovered that a critical part of its operations was holding back progress: the Messy Inbox.
Across food, non-food, energy, and wholesale services, Colruyt’s teams were spending valuable time reading, classifying, and routing customer emails manually. Despite a robust Salesforce setup, the reality was clear: unstructured communication was slowing down structured work. That’s where Tekst stepped in.
In this case, we explore how Tekst helped Colruyt Group eliminate repetitive work, increase Salesforce adoption, and turn inbox chaos into actionable insights, without changing how people work.
Colruyt Group is one of Belgium’s most iconic and diversified retailers. With activities across food, non-food, wholesale, and energy, the group manages thousands of customer interactions every day. It has long been recognized for its operational efficiency and commitment to value. But behind that promise was an unseen challenge in customer operations.
Despite a modern Salesforce backbone and years of experience managing customer service at scale, Colruyt Group’s frontline teams were increasingly bogged down by one core issue: the inbox. Every day, thousands of customer emails poured into shared inboxes, ranging from product questions, order issues, complaints to administrative requests and spam, a lot of it. Many came via web forms, often incomplete. Others arrived in French, Dutch, or English.
The problem wasn’t just volume. It was the structure, or lack of it. Human agents had to manually read, classify, route, and respond to nearly every message. This slowed resolution times, frustrated teams, and created inconsistencies in how information entered Salesforce.
What’s more, the messy inbox made it harder to convince teams to work inside Salesforce. When systems are filled with noise, data quality suffers and adoption follows.
Colruyt partnered with Tekst to tackle the issue at its source: the inbox. Unlike traditional workflow tools, Tekst connects directly to unstructured communication channels and uses process mining to reveal the real-life workflows buried inside them.
Tekst’s first step was to connect to Colruyt’s shared mailboxes and listen. The AI quickly learned to filter out low-priority noise, automatically detect the language of incoming messages, and identify what type of service each request related to: returns, complaints, product availability, or billing.
Tekst also enriched incomplete forms submitted via the website, adding missing data points before routing them to Salesforce. Once inside Salesforce, Tekst auto-classified the cases, assigned them to the right queues, and ensured that only clean, structured data reached service agents.
In just one quarter, Colruyt and Tekst achieved:
The transformation didn’t just eliminate manual work. It changed how service operations were perceived internally. With inbox noise drastically reduced, teams could work faster, more accurately, and with greater motivation. Most importantly, they began to see Salesforce not as an administrative burden, but as a reliable, structured environment for value-driven service.
As Colruyt Group continues to scale, the Tekst platform is now being prepared to expand across new brands and customer flows. What started as an automation project has evolved into a broader transformation, where inboxes no longer hide chaos, but reveal process clarity and unlock human potential.
Colruyt’s journey reflects a growing challenge for enterprise organisations: the disconnect between unstructured customer communication and the structured environments they aspire to operate in. By uncovering processes directly from the inbox, Tekst helps close that gap, without changing the tools teams already use.
The result is not just time saved, but a smarter, cleaner, and more human way to work.
Tekst is an AI platform that eliminates repetitive work hidden in unstructured communication flows, starting with the inbox. By connecting directly to shared mailboxes, forms, and ticketing systems, Tekst uncovers how work really happens, automates repetitive tasks, and enriches data before it enters core systems like Salesforce or SAP. The result is structured workflows, cleaner data, faster resolution, and happier teams - without the need for disruptive change management.
Tekst helps enterprise organisations turn chaos into clarity, and boring work into real value.
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CIONET’s Cyber Circle: a new three-event programme exclusively focusing on the most urgent, complex, and high-impact challenges in cybersecurity today. Launched in 2026, this initiative brings together CISOs, CIOs, and senior IT executives with a strong interest in cybersecurity for three curated gatherings each year. As part of CIONET’s trusted executive community, the Cyber Circle provides a confidential, peer-driven environment to exchange insights, share real-world experiences, and address evolving cyber threats. Each session is designed to foster strategic dialogue, strengthen resilience, and elevate cybersecurity as a core driver of business value.
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The Telenet Business Leadership Circle powered by CIONET, offers a platform where IT executives and thought leaders can meet to inspire each other and share best practices. We want to be a facilitator who helps you optimise the performance of your IT function and your business by embracing the endless opportunities that digital change brings.
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Découvrez la dynamique du leadership numérique aux Rencontres de CIONET, le programme francophone exclusif de CIONET pour les leaders numériques en Belgique, rendu possible grâce au soutien et à l'engagement de nos partenaires de programme : Deloitte, Denodo et Red Hat. Rejoignez trois événements inspirants par an à Liège, Namur et en Brabant Wallon, où des CIOs et des experts numériques francophones de premier plan partagent leurs perspectives et expériences sur des thèmes d'affaires et de IT actuels. Laissez-vous inspirer et apprenez des meilleurs du secteur lors de sessions captivantes conçues spécialement pour soutenir et enrichir votre rôle en tant que CIO pair. Ne manquez pas cette opportunité de faire partie d'un réseau exceptionnel d'innovateurs numériques !
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CIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.
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