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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 Hello Sugar reached a 66% automation rate with our hybrid solution

Hello Sugar wanted to scale their waxing franchise without growing their reception staff – all while offering higher quality CX. With Ultimate’s hybrid automation solution, this process couldn’t have gone more smoothly.

Hello Sugar at a glance

The customer

Hello Sugar is the fastest growing Brazilian wax and sugar salon in the U.S.

The market

Hello Sugar serves beauty-conscious customers across the U.S.

The support team

Their support team consists of 20 receptionists who handle requests via Zendesk.

The channels

Hello Sugar offers customer support via SMS.

The situation

Hello Sugar was looking to double the number of stores – without doubling their receptionists' workload.

The solution

Ultimate's hybrid combination of gen AI and conversation design helped Hello Sugar hit a sweet spot between empathetic, personalized, and scalable support.

Getting started with Ultimate

Trying to double the number of stores in their franchise within the year – without growing their support team – may sound like the makings of a sticky situation. But what sets Hello Sugar apart in the beauty and wellness space is their tendency to be tech savvy. They knew that the best way to scale was to automate. And while a lot of other AI providers sugar coat their automation capabilities, Ultimate’s automation solution proved to be the real deal.

Hello Sugar’s CTO, Austin Towns, was instantly impressed by the generative AI technology behind UltimateGPT and quickly began automating common intents about salon services and pricing. With the help of Ultimate’s hands-on customer success team and a seamless integration with Zendesk - who recently acquired Ultimate to scale the partnership - they enhanced the quality of their support by combining ultra-personalized service with near-instant response times.

With the freedom and flexibility of generative AI, their bot also delivers precise info about the location of salons to lost customers as well as empathetic responses for first time waxers – all in perfect brand tone of voice. Meanwhile, the precision and control of manual conversation design enabled them to automate their entire appointment booking process. Now, Hello Sugar boasts a 66% automation rate thanks to our hybrid automation solution.

"We currently have 81 salons and are going to grow to 160 this year – without growing our reception staff. And with automation, we’re able to do that while offering way better CX and getting higher reviews."

Austin Towns
CTO, Hello Sugar

Automation rate: 66%

Monthly savings$: 14K

Agent hours saved: 200

AI use case spotlight #1: Hello Sugar’s journey to +66% automation

Hello Sugar wanted an AI provider that could go beyond the traditional dialogue builder. Ultimate’s hybrid approach that integrates the precision of conversation design with the freedom and flexibility of generative AI delivered on this promise.
UltimateGPT has enabled them to quickly automate FAQ style questions about services provided and how to prep for an upcoming appointment. And conversation design helped them automate intents like booking appointments, as they can use API integrations to confirm location and generate a booking link for their customers.
Taken together, they have reached a 66% automation rate – with rave reviews about their CX from customers.

AI use case spotlight #2: Knowledge base optimization for better CX

Hello Sugar also succeeded in honing the powers of a well-designed knowledge base to enhance the capabilities of UltimateGPT.
By compiling a knowledge base replete with information on the details of location of each salon around the country, their generative AI-powered bot can provide extremely precise directions. Customers are also left with the feeling that they’re speaking to a human receptionist, thanks to the bot's natural-sounding tone of voice (TOV).
As a result, Hello Sugar harnessed the power of generative AI to deliver ultra-personalized and empathetic support to customers within seconds and at scale.

The success story

Instant Zendesk integration

Ultimate’s hybrid automation solution seamlessly integrated with their existing CRM so they were able to start automating common queries straight away.

Industry beating results

As a tech savvy business within the beauty and wellness space, Hello Sugar has been able to offer improved CX even as they double their number of salons – all while saving $14K in agent costs per month.

Hybrid automation solution

With our hybrid solution, Hello Sugar was able to combine generative AI and conversation design to reach an automation rate of +66%.

Improved customer experience

With the help of AI, Hello Sugar is able to attend to customer queries in a matter of seconds. Thanks to UltimateGPT, they’re able to do so in a way that integrates empathy and on-brand TOV into each interaction.

Next on their automation journey

Hello Sugar plans on continuing to find more use cases for AI to improve CX, such as by expanding their APIs to reduce manual work for receptionists.

For example, they want to harness the capabilities of API integrations for booking and rescheduling appointments to expand the capabilities of what their bot can do when responding to these requests.

They plan to audit all existing intents to find more opportunities to leverage UltimateGPT.

Technologies

Ultimate: Chat automation Zendesk: A CRM Platform

Partners

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CIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.