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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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Facilitating more effective collaboration for the NATO Standardisation Office

PwC’s AI-based solution enables the NSO to address its community more broadly to bring together divergent national views more easily.

Facilitating collaboration

The NATO Standardization Office (NSO) supports a diverse subject matter expert workforce, about 20,000 of whom are registered users on its website, where it provides the collaboration services that enable them to work together on about 1,400 NATO standardization documents that are used by about seven million professionals in 32 nations across the entire NATO alliance to protect a population of one billion. Maintaining this documentation was very labour intensive, as much was done manually. The custodian position also isn’t a full-time role, but a volunteer assignment. To see where artificial intelligence (AI) may be able to help NSO issued a request for proposal (RFP).

Looking to innovate

Explains Rob Trabucchi, Deputy Director, NSO, “We were looking to provide that volunteer part-time workforce with tools to help them make the most of all the information available to them in today's information age. While they have much more information available to make those documents better, at the same time, they can be flooded by that information. So, we needed tools like natural language processing and text analytics to help them manage it all, make the most of it and really make their jobs much more satisfying.”

Seeking reliability

When looking for a provider, NSO had some specific attributes in mind, namely, "someone who really had experience with AI tools and delivering those to a customer like us, an intergovernmental organisation,” Rob Trabucchi recalls. And he adds, we also wanted someone with “experience working with NATO, which would really help to accelerate the product, and third, and perhaps the most important, we were looking for reliability.”

“We had real two-way interaction and outside-the-box thinking with multiple people so we could have a broad interaction.”

Rob TrabucchiDeputy Director, NSO.

Broad interaction

In answer to the RFP, PwC suggested ways in which AI could help meet NSO’s needs and how the technology could best be implemented to be beneficial. We not only had the experience in working with NATO that the NSO was looking for, but could add in business insights based on our broad experience. Enthuses Rob Trabucchi, “There are three things that I really liked about the interactions that I had with the PwC team. The first was that we had very frequent meetings, which meant that we had short intense sprints. I understand that takes a lot more effort. The second thing that I liked about it was that we had real two-way interaction and outside-the-box thinking with multiple people from the team in each meeting, so we could have a good broad interaction. And finally, the team really invested a lot of effort, making sure that everything was in place throughout the deployment of the tool. That took some time to follow up and showed real dedication and reliability.”

Leading the way to the future

The project involved a lot of technical building blocks, including building a prototype to show how a chatbot could help work on the standards in scope and indicate where standards, and related standards, could be found. According to Rob Trabucchi, “the value of this project goes well beyond the NSO to the 20,000 plus workforce. It allowed us, as their primary service provider, to demonstrate to that we’re leading them into the future and providing them with modern services that directly address their needs. It also allowed us to learn from the feedback of our users and pick some of our most dedicated people, who can also be the most demanding, and really deliver a tool that allows them to teach us how to build the next generation of tools.”

Deep thought and good advice

Rob Trabucchi notes that NSO learned a lot from the project. “First of all, reaching out to the community was extremely valuable to us and I think we learned that we want to do more of that. We’d like to spread that out to more as we go forward to more users of diverse types. We also learned that we really have to plan ahead because NATO, as an organisation, is all about bringing together a really diverse set of national views, and that makes our decision making a very deliberate process, a consultative process, which takes time. The third thing we learned is that that consultative, deliberate process has to be balanced or somehow integrated with dynamic innovation, and that takes some real deep thought and good advice.”

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