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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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How TeleClinic future-proofed their support with AI-powered automation

When the pandemic made automation a necessity, TeleClinic turned to Ultimate for an automation solution that could provide empathetic and efficient customer support at scale. Three years later, TeleClinic continues to trust Ultimate for the future success of their CX.

TeleClinic at a glance

The customer

TeleClinic is a platform that matches patients with doctors for online consultations via mobile app.

The market

Since launching in 2015, TeleClinic has emerged as Germany's leading provider of telemedicine. They serve a two-sided market of healthcare professionals and patients.

The support team

A team of 20 customer service agents provide round-the-clock support to TeleClinic users.

The channels

TeleClinic offers automated support via both ticket and chat.

The situation

When the pandemic created an unforeseen spike in demand, TeleClinic knew they needed to automate. Since then, their unique use cases have called for an even more sophisticated automation solution

The solution

Not only did Ultimate help agents manage a 500% uptick in requests during the pandemic, but it has since enabled them to separately serve both doctors and patients via two custom-built bots.

Why TeleClinic continues to trust Ultimate

TeleClinic experienced a 500% increase in requests during the pandemic, which was overwhelming for their support team to say the least. From where they saw it: they could either hire and onboard a lot more people quickly, or automate processes to support their existing team. When faced with this decision, it was clear that AI-powered automation was the only logical choice. After researching other competitors, TeleClinic chose Ultimate as the best automation solution to meet their complex use cases in serving both doctors and patients. They also needed to work with an automation provider located in the EU to ensure GDPR compliance, and Ultimate fit the bill.

Three years later, Ultimate’s automation solution continues to help remove barriers in access for people seeking telemedical support – and to the doctors looking to provide it. For example, both patients and doctors are able to self-serve much more quickly through the platform, with a whopping workload reduction of 18.9 hours per ticket. TeleClinic has also been able to steadily reduce costs, with €100,504.42 saved in 2023 alone. They’ve achieved all this while keeping their agents happy, too. Due to upticks in requests during hay fever season or when there is a stomach bug going around, agent workload remains stable thanks to automation. As a result, agent NPS score has been a steady 8.5/10. From a global pandemic to hay fever season, TeleClinic feels prepared to weather whatever the future holds thanks to Ultimate's automation solution.

Scale your support with automation

“Giving the right answer to our users is crucial to us. We wanted to work with a EU-based company to ensure GDPR compliance, and Ultimate could provide the right mix between suggestion and automation.”

Philipp Weidenbach
Head of Patient Operations, TeleClinic

Total savings in 2023: €100.5 K

Workload reduction per ticket: 18.9 hrs

Chat automation rate: 37%

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AI use case spotlight: prioritizing requests

TeleClinic’s support team accommodates both time-pressed doctors and patients in need. They needed an automation solution to make it easier for doctors to prioritize requests so that patients could receive care faster.
They have successfully launched a second Doctor Bot that structures and categorizes requests, then forwards them to the right department to ensure they are connected with the right human agents as quickly as possible.
As a result, doctors are able to input data more efficiently, meaning that patients receive the care they need at a much faster rate. In fact, automation has resulted in a workload reduction of 18.9 hours per ticket.

Learn about our industry-leading AI

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AI use case spotlight: accurate responses to sensitive questions

Telemedicine is a complex, sensitive matter, where a one-size-fits-all approach doesn’t work. That's why automation at all costs would never be the right solution for TeleClinic.
Rather, TeleClinic’s agents have really appreciated the way their bots offer a helping hand when it comes to customer care. As one agent put it, “Thanks to the bot we now get pre-structured client requests and it makes it so much easier to really support them with their actual concern.”
Ultimate's platform is GDPR and SOC-2 type 2 compliant, so TeleClinic can be sure their customers' sensitive medical data is always protected.

Get started with automation

The success story

Custom-built virtual agent

Telemedicine is a naturally complex industry so TeleClinic loves our solution that provides tailored support to both time-pressed doctors and patients in need.

Scalable solution

With a bot taking care of common customer requests, TeleClinic can meet fluctuating demand — without increasing agents’ workload.

Secure data handling

Given the sensitive nature of the requests TeleClinic’s support team handles, they needed an automation partner they could rely on to treat customer data securely.

Headless automation platform

Their bot sits inside their existing tech stack and seamlessly integrates with their CRM, Zendesk. Ultimate analytics dashboard provides clear and easy to use stats.

Next on their automation journey

In a high-stakes and ever-changing industry like telemedicine, TeleClinic is always thinking about how they can up their support game by using the best that CX automation has to offer. They are currently curious about how they can harness the potential of UltimateGPT , which uses generative AI to offer even more empathetic and efficient support as they continue to scale.

Technologies

Ultimate: Chat automation Ultimate: Ticket Automation Zendesk: A CRM Platform

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