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Belgium 9-6-26 Invitation Only Virtual english

From Dashboards to Decisions: Restoring alignment, ownership, and confidence in enterprise reporting

Data availability keeps growing, but decision-making often feels slower. Every function builds its own dashboards, metrics multiply, and reports begin to contradict each other. What was meant to improve transparency now creates confusion. The problem is not access to data but alignment on interpretation. When information becomes noise, confidence in reporting collapses. People hesitate to act, functions challenge each other’s numbers, and trust in analytics erodes. The challenge lies in restoring clarity: deciding which metrics matter, who owns them, and how reporting connects back to action. Let’s discuss how to simplify information flows, define consistent metrics, and reconnect dashboards with decision-making. How ownership, cadence, and shared understanding bring alignment back. A closed conversation on rebuilding confidence in data, where clarity replaces overload and information once again supports action.

Belgium 10-6-26 Invitation Only Physical english

Man Overboard: A VIP Evening on the Human and Digital Anatomy of a Crisis

In the middle of the night, 200 miles from the coast, the alarm sounds. The "Man Overboard" cry isn't just about a person in the water; it’s the ultimate test of a crew’s preparation, psychological grit, and split-second communication. For the modern European CIO, the "Man Overboard" moment happens in the data centre, the boardroom, or the headlines. When the system fails, the pressure doesn't just sit on the servers; it sits on you. Join CIONET for an exclusive VIP evening at the coast, a deep dive into the Human and Digital Anatomy of a Crisis. We will explore why some leaders thrive under the crushing weight of a "Black Swan" event while others capsize, and how data serves as the steady keel that keeps the ship upright.

Belgium 12-6-26 Invitation Only Physical english

AI Governance at Scale: Defining boundaries, ownership, and accountability for AI at scale

AI started small: a few pilots, some dashboards, a couple of chatbots. But then it spread, quickly. Now every department wants a model, every vendor adds “AI-powered” to their pitch, and every regulator is asking about risk and transparency. Governance suddenly went from a nice idea to a full-time job. Scaling governance is harder than launching AI. Policies look great on slides, but in practice, ownership blurs and enforcement stalls. Central control slows things down, while local freedom invites risk. Everyone agrees AI should be safe and ethical, but no one agrees on who signs off when something goes wrong, all leading to AIs living as permanent PoCs. So how do you scale oversight without creating bureaucracy? How do you distribute responsibility between IT, business, and compliance? And what controls actually hold up when AI keeps changing after deployment? Let’s explore how organisations make governance part of daily operations, not an afterthought. A closed conversation for those trying to keep AI credible, compliant, and under control while it spreads across the enterprise.

June 9, 2026 Squad Session Invitation Only Virtual english

From Dashboards to Decisions: Restoring alignment, ownership, and confidence in enterprise reporting

June 12, 2026 Squad Session Invitation Only Physical english

AI Governance at Scale: Defining boundaries, ownership, and accountability for AI at scale

June 18, 2026 Squad Session Invitation Only Physical english

Building the Event-Driven Enterprise: Managing flow, context, and control in event-driven systems

Becoming event-driven sounds like the logical next step: real-time visibility, faster response, tighter integration. The promise is appealing, no? But turning that vision into reality is another story. Where do you start, with technology, operating model, or mindset?

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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

Partners

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