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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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Why Taskrabbit chose Ultimate over 12 other competitors

Taskrabbit had tried other AI providers before, but none had been able to meet their needs — until they found Ultimate. Learn how Ultimate’s product features fit with their unique use cases better than any other vendor on the market.

Taskrabbit at a glance

The customer

Taskrabbit is a global digital platform that connects people seeking help with household tasks, such as furniture assembly, moving, and home improvements, to skilled, reliable Taskers in their communities.

The market

Taskrabbit is a two-sided marketplace that includes self-employed independent contractors, known as Taskers, and the clients who hire them.

The support team

250 agents offer localized support in 9 languages throughout North America and Europe.

The channels

Taskrabbit offers support across both ticket and chat. With Ultimate's bot, they have successfully automated 100% of first contact on support queries that they receive via chat.

The situation

After trying other providers in the past, Taskrabbit was in search of an automation solution that could meet their unique use cases.

The solution

Ultimate's chat automation solution proved to be the best fit for Taskrabbit thanks to our customizable analytics dashboard and ability to offer support localized by region.

Getting started with Ultimate

Taskrabbit had doubts about whether any automation solution could meet their specific needs. They had even tried other providers before, but had found the implementation too clunky and the bots too simplistic. The challenge for them was in the fact that they have unique use cases, as they serve a two-sided marketplace of both self-employed workers and the clients who hire them. More than simply being multilingual, their bot would also need to be able to route queries to the right countries by picking up on location and regional dialects, say for French Canadian or US Spanish. It was in meeting these specific requirements — along with ease of use and implementation — that Ultimate won out.

Mimi Erlick, Taskrabbit's Senior Program Manager, initially discovered Ultimate on Zendesk's list of recommended chatbots — an endorsement that stood out amid their automation skepticism. And beyond simply being able to meet their complex use cases, Ultimate’s product features — from the Zendesk integration and customizable analytics dashboard to its headless capability — enabled them to launch their bot in 9 languages within just 2 months. Mimi also credits Ethan, their customer success manager (CSM) at Ultimate, for their success in launching so quickly. “He understood what my questions were and was available to help us every day. I’d rate the support we got from Ultimate a million out of ten.” Now, 100% of chats start with their bot, and they’ve reached a 28% deflection rate — far exceeding their initial KPIs.

Get started with automation today

“When choosing a bot provider, it’s really about what the implementation looks like. We were focused on the ease of use with building and on the quality of the product features. That’s where Ultimate won.”

Mimi Erlick
Senior Program Manager, Taskrabbit

Deflection rate: 28%

Languages offered: 9

First contact automated: 100%

AI use case spotlight: Providing highly-localized automated support

Taskrabbit needed a bot that could route queries to the right geographic location, as different regions have unique support needs. This feat had proven too complex for other bots they’d tried in the past.
Ultimate’s bot not only recognizes the language that a customer is typing in but also pulls in the region listed in Zendesk, so someone can be talking in a language but not be tied to that language’s region.
With Ultimate, their bot both communicates in the right language and is able to connect customers to the most accurate content for their region.

Read about our multilingual AI

Use case spotlight: Customizable reporting with the Ultimate analytics dashboard

Before using a bot, Taskrabbit would prompt customers to manually enter their personal data, which often left a lot of room for error.
Through monitoring in their analytics dashboard, Taskrabbit now has much cleaner and more accurate data. This empowers them to craft more impactful support content and improve agent interactions.
The customizable dashboard provides Taskrabbit with useful information and offers a lot of filtering options. Mimi adds that, “since Ultimate acts as a virtual agent within Zendesk, we could also use all of our Zendesk dashes to support our metrics needs.”

Start your automation journey

The success story

Cost effective

Taskrabbit saw near-instant ROI and big annual cost savings with automation.

Happier agents

Agents have reported increased job satisfaction, as more monotonous queries have been taken over by their bot. In fact, Taskrabbit has achieved a 28% deflection rate through automation.

Multilingual

Taskrabbit was able to launch in all 9 languages they serve — including Italian, German, Spanish, French, and English. More than this, their bot offers regional, localized support.

Headless

Our headless solution was less work to launch than other chat automation solutions and enables seamless control of their bot flows.

Technologies

Ultimate: Chat automation Zendesk: A CRM Platform

Partners

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