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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 HyperJar slashed first response times by 94% with AI

As a mobile banking app, HyperJar's customers expect a UX that's quick and convenient. They turned to Ultimate's automation platform to deliver on this promise — and it's paying dividends.

HyperJar at a glance

The customer

HyperJar is a free, prepaid debit card and money app designed for everyone.

The market

They serve customers in English, across the UK.

The support team

HyperJar has a support team of 33 agents.

The channels

HyperJar offers support via chat in the mobile app and on desktop. They manage queries through their CRM, Zendesk.

The situation

They were looking to automate industry-specific use cases so agents could focus on providing the best possible support, based on a balanced approach between AI and humans.

The solution

With Ultimate, they found an automation platform tailored to the finserv industry. They use API integrations to automate common queries so agents are free to focus on the more complex ones.

Getting started with Ultimate

As an innovative finserv company, HyperJar was looking to cash in on their automation potential in order to stay ahead of the competition in their industry. Jake Samson, Systems Manager at HyperJar, said it best, “There’s no running from it, AI is here. You have to embrace it or you’ll fall behind.” After seeing some demos and comparing our competitors on G2, we shined as the best option for them.

With our extensive experience working in the finserv industry, we aligned with their commitment to make life simple and convenient for their customers by using AI to provide faster and more accessible support. Together, with their Customer Success Manager at Ultimate, Kasia, they mapped the most impactful use cases for automation – such as replacing lost cards and checking card delivery status – while still making it easy for customers to escalate to an agent when needed. Of the onboarding journey, Jake recalls, “It was a really smooth process. It’s a very user-friendly platform. It was a very structured training program, and we went live within the first 4 weeks.”

And because they were committed to automating each use case in a gradual way, they weren’t banking on seeing such impressive results so quickly. They’ve already cut their first response times (FRT) by 94% – all while maintaining a 97% CSAT score. With CX automation, customers can have speedier support and their agents are freed up to provide a human touch where needed.

“Everywhere I go, I recommend Ultimate as the platform you need to go with when you’re deciding to automate. As our Trustpilot reviewers say, ‘it’s a bot that actually knows what to do!’”

Jake Samson
Systems Manager, HyperJar

First contact resolution rate: 90%

CSAT score: 97%

Reduction in FRT: 94%

AI use case spotlight #1: Eliminating escalations for replacing lost cards

Replacing cards accounts for 16% of queries at HyperJar. Before automation, doing so required a 15-20 minute conversation with a human agent – not counting wait times.
This repetitive request proved to be a perfect use case for automation. With the help of our finserv-specialized API integrations, they were able to fully automate it within a few weeks.
HyperJar has completely eliminated agent escalations on this intent, and cut the time to resolution to under 2 minutes – contributing to an 90% overall reduction in FCR.

AI use case spotlight #2: Enabling agents to provide more human CX

Right from the outset, HyperJar knew their goal was to find the sweet spot by offering excellent customer service through CX automation while maintaining a human touch where needed, such as when resolving payment disputes.
Our approach to automation still makes it easy for customers to reach an agent as needed by designing smart escalation paths, rather than centering a deflection at all costs approach.
Because they were able to automate their most repetitive tasks, agents are free to provide that little bit of extra care to customers and to go the extra mile on complex queries. Since automating, HyperJar has maintained a stellar 97% CSAT and 4.7 stars on Trustpilot.

The success story

Instant Zendesk integration

The fact that our automation solution fits seamlessly into their CRM was a deal maker for HyperJar. Our one-click integration with Zendesk enabled them to get started with automation quickly and easily.

Insightful analytics

Our comprehensive analytics help HyperJar to pinpoint their top use cases for automation. This data also enables them to better understand their customers by making it easier to monitor conversations more closely.

Industry-leading results

HyperJar knew that automation was key to getting a leg up on competitors by providing the best possible CX. They’ve managed to achieve better operational efficiency, boasting a 94% reduction in FRT since automating, and a 42% automation rate overall.

Improved customer experience

HyperJar has achieved a 90% FCR by automating repetitive intents, and agents now have more time to focus on providing faster support on their more complex queries. They have maintained a 97% CSAT since launching their bot.

Next on their automation journey

After so much success with automating the lost card use case, HyperJar is now looking to automate six more of their most common customer intents such as checking card delivery status.

Ultimate is a platform that grows with them as their automation journey coincides with the evolution of their product. For example, they've recently begun issuing customer vouchers and rewards, and were able to automate this process right from the start.

They are also curious to try our generative AI-powered chatbot, UltimateGPT, as a way to capture the long tail of customer queries and enhance the conversational TOV of their bot as they continue to design new dialogue flows.

Technologies

Ultimate: Chat automation Zendesk: A CRM Platform

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