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Welche Rolle wird AI künftig für Europas Finanz- und Versicherungsbranche spielen? Und welche Perspektiven werden dazu morgen auf dem Bayerischen Finanzgipfel miteinander geteilt und diskutiert? Diese Frage ist längst nicht mehr nur technologischer Natur. Sie berührt die wirtschaftliche Wettbewerbsfähigkeit, Regulierung, Innovation und nicht zuletzt die Frage, wie Europa seine digitale Souveränität gestalten möchte. Am 8. Oktober bringen wir bei BSI Software unsere Perspektive auf den Bayerischen Finanzgipfel ein. Der Titel meines Impuls-Vortrags lautet: “Digitale Souveränität trifft Customer Experience: Agentic AI als Wachstumstreiber” Gerade für die Finanz- und Versicherungsbranche ist der Fokus auf die Kunden und damit auch eine digitale Customer Experience besonders relevant. Unternehmen wollen und müssen die Potenziale von AI nutzen, um wettbewerbsfähig zu bleiben und Innovation an der Schnittstelle zu Kunde und Vertrieb voranzutreiben. Gleichzeitig bewegen sie sich in einem stark regulierten Umfeld und müssen hohe Anforderungen an Sicherheit, Transparenz und den Umgang mit Daten erfüllen. Aus meiner Sicht braucht es deshalb einen gemeinsamen Dialog: 👉 Technologie muss zeigen, was heute und morgen im Dienste der Kunden und Unternehmen möglich ist. 👉 Die Wirtschaft muss konkrete Anforderungen und Erfahrungen aus der Praxis einbringen. 👉 Die Politik muss Rahmenbedingungen schaffen, die Vertrauen und Sicherheit gewährleisten und gleichzeitig Innovation ermöglichen. Gerade die europäische Perspektive auf AI wird dabei immer wichtiger. Denn die Frage ist nicht nur, wie schnell wir neue Technologien einsetzen, sondern auch, unter welchen Rahmenbedingungen wir sie entwickeln und langfristig souverän nutzen können. Ich freue mich deshalb auf den Bayerischen Finanzgipfel und den Austausch zwischen Wirtschaft, Technologie und Politik. Hier findet Ihr weitere Informationen zum 20. Bayerischen Finanzgipfel in München: https://lnkd.in/eyaMN99b Für uns steht fest: Um die Potenziale von #AI in der #Finanzbranche nachhaltig zu nutzen, braucht es ein gut orchestriertes Zusammenspiel unterschiedlicher Kompetenzen und Perspektiven. #ArtificialIntelligence #FinancialServices #Insurance #DigitalSovereignty #Innovation #DigitalTransformation #SchluesselZurSouveraenitaet #InnovationMadeinEurope

Zondagochtend. Mountainbike uit de schuur, helm op en de duinen in. Vijf maanden geleden lag ik nog op de operatietafel voor mijn knie. Nu zat ik eindelijk weer op de fiets. Nog niet knallen over het parcours van Schoorl. Dat komt wel. Maar een heuvel pakken, buiten zijn en merken dat mijn knie gewoon meewerkt... Dat voelde goed. Mijn herstel liep alleen totaal anders dan ik vooraf dacht.. Voor mijn operatie zat ik veel op de mountainbike en trainde ik extra. Want “Fit in is fit out”, aldus mijn fysio. Leuk, maar wat blijft daarvan over als ik straks 6 weken mijn been niet mag belasten? Best veel dus. Zodra ik weer mocht lopen, ging ik met flinke sprongen vooruit. Mijn fysio ziet dat vaker bij fietsers. Wat je vooraf opbouwt, helpt je daarna weer op weg. Lekker rendement. Die eerste zes weken waren trouwens taai. Na 3-4 dagen op de bank had ik The Office wel gezien. Genoeg managementlessen van Michael Scott. Tijd om ze in de praktijk te brengen. Dus laptop open en weer aan het werk. Een paar berichten beantwoord en mijn agenda liep alweer vol meetings. Mijn oefeningen moesten er ergens tussendoor. Dat werkte dus niet. Drie keer fysio, thuis oefenen en bewegen kost serieus tijd. Pas later behandelde ik mijn revalidatie zoals mijn werk: tijd blokken en die tijd bewaken. En toen ging ik 3 weken op vakantie. Ik oefende nauwelijks en verwachtte bij thuiskomst een flinke terugval. Maar mijn knie was juist rustiger dan in maanden. Ik liep beter en merkte ineens: hé, ik ben helemaal niet met mijn knie bezig. Voor het eerst in ruim een jaar liep ik gewoon. Zonder bij iedere stap te voelen of het goed ging. Grappig genoeg bleek juist dat 𝐦𝐢𝐧𝐝𝐞𝐫 𝐝𝐨𝐞𝐧 me verder hielp. Inmiddels mag de mountainbike weer uit de schuur. En met kerst sta ik hopelijk weer op ski’s. Dat is in elk geval het plan. 😊

Everyone is frustrated with GitHub at this point. Reliability issues left and right. On top of that, it's entirely unclear if git and our current approach of versioning makes sense going forward. Code is becoming abundant and cheaper to generate. At the same time, the context, prompts and input to what generated the code become more important (and need to be versioned as well). Whether git is the protocol/technology we use going forward or not is hard to predict. What's definitely happening is that source code storage and versioning is being added as a feature to other platforms. Cursor and SpaceXAI are leading the charge and Cursor Origin really sets them apart from the other labs. Generate your code with Cursor, store your code in Cursor. It just makes sense. I'm excited that we integrated Jenkins and CloudBees CI (our enterprise product for Jenkins) with Cursor Origin. Thank you Davy L. Diane Liu Tony Li and everyone who helped make this happen together with Antonio Muñiz Jesse Glick James Nord Jordan Matthiesen Thierry Wasylczenko.

Next week Im heading to Amsterdam for CCW Europe.🇳🇱 You'll find me at the Ace Waves booth #58, together with Jordi and Wiktoria. If you're around, happy to catch up – coffee on the floor or a drink somewhere along the canals in the evening. 🍸 P.S. If you’re in London Dan Richardson is stepping on stage at Engage Customer to talk about why customer service is one of the most overlooked sources of growth in the business. Scott Q., Benn, Thomas and Matas will be there too - meet them at the C11 booth. 🌊

Next week I'm stepping on stage at the Engage Customer Summit in London. 🇬🇧 🎤 Thursday, 8 October, 11:15–11:40, Loyalty, Retention & Growth stage: Customer Service Is the Most Underrated Growth Lever in Business. I'll talk about why the era of treating customer service as a cost line is over. Every day, thousands of customers reach out to your support team on their own, and in that moment you have their full attention. The question is how you turn that attention into revenue. Outside the session, find us at the Ace Waves booth C11 on both days. Scott Q. Gulfaraz Mabs A., Benn Woodbridge, Thomas Pellegrino and Matas Povilauskas will be there with me. Grab me after the talk, on the floor, or send me a message and we'll set something up. P.S. If you're in Amsterdam instead, Antanas Baksys, Jordi Storken and Wiktoria Polonska are at CCW Europe Digital (booth #58). 🌊 🏄♂️

Companies are rushing to adopt AI. Almost none are asking what happens to the data they feed it. On 8 October, join "Good AI vs. Bad AI: How to use AI in your company without giving away your competitive edge." We will cover: 🎯 Why general-purpose AI cannot see what actually makes your business profitable, and where the line sits between AI that sharpens your team and AI that quietly learns your know-how 🚀 How to roll out AI adoption without pushing people into shadow AI usage or shutting down team-wide resistance ✅ A practical framework for deciding what AI should and should not touch, plus a checklist to audit your own stack this week Register here: https://lnkd.in/dwMXP2eF

Sensitive data presents a paradox. Lock it down, and researchers cannot reach it. Open the door, and security vanishes. Most teams choose a third option. They travel. They fly researchers to a cold room, sit them next to the files, and ensure nobody takes a copy home. It works. But it only works until the collaboration spans three different countries, and your dwindling flight budget abruptly becomes your only form of access control. Listen to a quieter move. Keep the data exactly where it is. Put the Linux session right next to it. The dataset never leaves the enclave. Only the display travels. And suddenly, when a researcher logs in from across the ocean, they can interact effortlessly with RStudio, Matlab, and the lab's bespoke applications in real time, working as if they were sitting right at the local desk, analyzing the world's most sensitive information through a highly secure window that transmits the pixels but never the precious data itself. We just published a short film from the EOSC Siesta project on this exact pattern. ThinLinc provides one way to give people this vital access without moving the data. A museum is secure. A leak is open. Neither is the job.

Bubble put out a report today that I wish every founder who calls us would read first. They looked at 250,000 apps. The ones that make money don't look different on launch day. They look different in the six months after. A few numbers that stuck with me: - Apps that monetize ship about 45 updates in their first six months. Apps that don't ship 2. - Nearly a third of money-making apps charge on day one. The rest usually get there within days, not months. - Apps with AI features monetize at nearly 3x the rate of apps without. - 70% of profitable apps are built by one person, but teams still monetize more often. Here's my take after building on Bubble and beyond it for years: Speed was never the hard part. Getting something live in three days is table stakes now, with or without AI. The hard part is showing up on day 47 to fix the thing your first paying customer complained about, and again on day 48. Most of the apps we get pulled into aren't broken. They're just stuck. The founder shipped, got busy, and the product stopped moving. The report has a name for that: 2 deploys. The other thing I'd underline is charging early. Not because it makes money, but because it's the only feedback that's honest. Free users are polite. Paying users tell you what's wrong. So if you're building this year, the question isn't "how fast can I launch?" It's "who is going to keep shipping after I do?" Answer that before you build anything. Full report here: https://lnkd.in/gZcuaWaa

Die Idee war, Softwarekosten zu senken. Stattdessen wächst die Add-in-Landschaft... Wenn Unternehmen die Kosten eines PowerPoint-Add-ins bewerten, schauen sie häufig zuerst auf den Preis pro Lizenz. Verständlich. Aber aus meiner Sicht greift das zu kurz. Die eigentlichen Kosten entstehen oft rund um die Lizenz: → Wie viele Lizenzen werden tatsächlich genutzt? → Wie viel Zeit kostet die Verwaltung? → Wie aufwendig sind Updates und Rollouts? → Wie viele Supportanfragen entstehen? → Wie viele Lösungen setzen wir inzwischen für ähnliche Anwendungsfälle ein? Gerade in gewachsenen IT-Landschaften passiert schnell Folgendes: Eine Lösung wird eingeführt. Weitere Teams kommen dazu. Die Zahl der Lizenzen wächst. Der Vertrag wird verlängert. Und irgendwann wird kaum noch hinterfragt, ob die bestehende Struktur eigentlich noch zur tatsächlichen Nutzung passt. Dabei bedeutet „funktioniert“ nicht automatisch „wirtschaftlich sinnvoll“. Für mich sollte eine Lizenzprüfung deshalb nicht mit der Frage beginnen: Wie viel kostet die Lizenz?“ Sondern: „Was kostet uns diese Lösung tatsächlich im laufenden Betrieb?“ Gerade im Office-Bereich lohnt sich ein genauerer Blick: Brauchen wir wirklich für jeden Office-Anwendungsfall ein eigenes Add-in? 👉 Wie Unternehmen ihre Microsoft-365-Add-in-Landschaft vereinfachen und Komplexität reduzieren können, erfahren Sie hier: https://lnkd.in/ecqxVet7

Veel kansen met digitalisering en AI, maar geen tijd om ze te benutten? De ideeën zijn er vaak wel. Wat ontbreekt, is iemand die er tijd voor maakt, prioriteiten stelt en zorgt dat een goed idee uiteindelijk ook wordt uitgevoerd. Daarom bieden we bij Cube een Inhouse Digital Lead: een ervaren specialist die op vaste momenten bij jullie meedraait. Die jullie organisatie leert kennen, kansen vertaalt naar concrete keuzes en de digitale roadmap bewaakt. Dat kan ik zijn, maar ik sta er niet alleen voor. Achter mij staat ons hele team in Oldenzaal: developers, designers en specialisten in AI en softwarearchitectuur. Zo kunnen we ook bouwen wat we samen bedenken. Je krijgt één vast aanspreekpunt, met de kennis en slagkracht van een heel team. Zonder dat je zelf een complete digitale afdeling hoeft op te zetten. Benieuwd wat we bij jullie kunnen oppakken? Stuur me gerust een bericht!

I’ll say it again and again… Humans and Technology are 𝗕𝗘𝗧𝗧𝗘𝗥 𝗧𝗢𝗚𝗘𝗧𝗛𝗘𝗥 💯 Anyone who has moderated knows that 𝘈𝘐 𝘳𝘦𝘢𝘥𝘴 𝘵𝘩𝘦 𝘸𝘰𝘳𝘥𝘴, 𝘣𝘶𝘵 𝘪𝘵 𝘥𝘰𝘦𝘴𝘯'𝘵 𝘢𝘭𝘸𝘢𝘺𝘴 𝘳𝘦𝘢𝘥 𝘵𝘩𝘦 𝘳𝘰𝘰𝘮. A very important distinction. For example: Two players calling each other names, one scenario is a ten-year trash talking friendship and in the other, the people are strangers. It’s the same words, but a very different situation. That difference is where even good technology can slip, and a player in the second scenario rarely files a report, 𝘵𝘩𝘦𝘺 𝘫𝘶𝘴𝘵 𝘲𝘶𝘪𝘦𝘵𝘭𝘺 𝘥𝘳𝘪𝘧𝘵 𝘢𝘸𝘢𝘺. The teams I work with that are managing this well have found the right balance. Let AI take the scale, the spam, and the obvious violations at machine speed. Then have the people manage the calls that require deep judgment, the edge cases, cultural nuance, and the moments where getting it right really matters. And most importantly (really), let’s remember that the people making those decisions deserve support. We have learned through experience that moderators who are supported through 𝗪𝗲𝗹𝗹𝗯𝗲𝗶𝗻𝗴 𝗮𝗻𝗱 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 programs feel empowered and that empowerment leads to better judgement and longevity. They stay longer, know your community better, and quite frankly contribute to your bottom line!! In my humble opinion, they are worth protecting - so please, include humans in your moderation stack 🫶 #TrustAndSafety #ContentModeration #Gaming

AI is rewriting how local businesses get found. Most agencies are still selling like it's 2019. I'm joining DudaCon'26 this October to talk about exactly that, alongside Andrew Shotland, Greg Gifford, Kevin Gibbons, Jason Swenk and a strong line-up of agency operators. What's on the table: → Local visibility from search to AI → How to sell local AEO to clients → Why clients still need agencies when AI can "do it" → Moving from selling services to selling outcomes 📅 Oct 26-28, 2026 🌍 Online, global, free 🎥 Can't make it live? Register anyway and get the recordings If you run an agency or build for SMBs, this is three days well spent. Save your spot 👇 https://dudacon.duda.co/ See you there? #DudaCon #GEO #AEO #LocalSEO #AgencyGrowth

Phew, jeg var sku spændt da jeg skulle møde min første gæst som podcastvært. Jeg ville gerne give et godt førstegangsindtryk, være sikker på at få alle de gode spørgsmål med, skabe en god stemning og få guldkorn ud til vores lyttere. Heldigvis var det Kasper V. K. Carstensen, som blev den første jeg skulle interviewe. Dygtig, behagelig og sjov at hænge ud med, og så har han en masse gode indsigter og råd med fra 10 års erfaring som HR leder i nogle af Danmarks største transportvirksomheder. Tak for at give så meget, Kasper! 🙏 For dig, der er HR-chef for en masse chauffører, kan jeg anbefale at lytte til vores andet afsnit af Støj på linjen, hvor vi fokuserer på, hvad man gør, når dine chauffører ikke føler sig som en del af et fællesskab. #HR #chauffører #APV #Podcast

𝗘𝗲𝗻 𝗔𝗜-𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲 𝗱𝗮𝘁 𝗳𝗲𝗶𝗹𝗹𝗼𝗼𝘀 𝘄𝗲𝗿𝗸𝘁, 𝘃𝗼𝗲𝗹𝘁 𝗯𝗲𝘁𝗿𝗼𝘂𝘄𝗯𝗮𝗮𝗿. 𝗣𝗿𝗲𝗰𝗶𝗲𝘀 𝗱𝗮𝘁 𝗴𝗲𝘃𝗼𝗲𝗹 𝗶𝘀 𝘄𝗮𝗮𝗿 𝗵𝗲𝘁 𝗿𝗶𝘀𝗶𝗰𝗼 𝘇𝗶𝘁. We zien het regelmatig. Een ondernemer bouwt zelf een prototype met AI. Terecht trots. Het werkt. Het ziet er goed uit. Er zit vaak een idee in dat de moeite waard is. Toch vragen drie dingen meestal nog aandacht: 1. Stabiliteit is wankel: één onverwachte invoer en de app crasht 2. Veiligheid is onzeker: beveiliging is een bijgedachte, data ligt open 3. Wetgeving is niet meegenomen: het werkt, maar overtreedt regels waar niemand van wist Een voorbeeld: een checkout die betaalgegevens onthoudt zonder expliciete toestemming. Techniek en beveiliging kunnen dan prima op orde zijn. Toch voldoet het niet aan de AVG. Gevolg: een boete. Of reputatieschade. Dat ondernemers zelf zo'n prototype bouwen, is een mooie ontwikkeling. 𝗪𝗶𝗷 𝘇𝗶𝗲𝗻 𝗲𝗿 𝘃𝗼𝗼𝗿𝗮𝗹 𝗲𝗲𝗻 𝘃𝗲𝗿𝘁𝗿𝗲𝗸𝗽𝘂𝗻𝘁 𝗶𝗻. Inmiddels hebben we meerdere van deze prototypes mogen doorontwikkelen tot volwaardige producten. Na een dekkende code-audit en de juiste ingrepen pakken we snel door naar een lancering, en verwelkomen we samen de eerste gebruikers. Heb jij een prototype dat klaar is voor de volgende stap? https://lnkd.in/e-Npn-26 #softwareontwikkeling #AIstrategie #Maatwerksoftware #AIprototype

🌊 Make Waves is happening in Prague this year. 🌊 For the first time we bring our Flagship Event to one of the most iconic cities in Europe. Prague also has one of the fastest-rising tech and startup scenes. If you haven't been, this is the year. Event, experience, party, all will be awesome. If you're bringing AI agents to your business, this event is one to be in the room for. Because AI shouldn't be a black box you're forced to trust. It should be a glass box: you see how your agents operate, in your business, at any time. That's what Make is building towards, and Make Waves is where you'll see it firsthand. This year were bringing more leaders into the room than ever. People leading the AI transformation in their business. If thats you, reach out to me. I want you there. New for 2026: an executive experience where youll sit down with me, the Make founders, and renowned Czech artist David Černý. 📍 Prague 📅 Oct 19 & 20 🎟️ Link in the comments. Let's Make Waves. 🌊

What did your customers complain about most last week? Answering a question like this usually means pulling data from several places, putting together a report and looking for patterns. With Daktela connected to Claude/ChatGPT through MCP, you can simply ask. “Why did customers contact us most often last week?” Claude/ChatGPT can look through tickets, emails, chats and call transcripts in Daktela and find that, for example, late deliveries were the most common complaint. From there, you can continue with the questions you would normally ask someone analysing the data: 👉 "When did this start?" Thursday afternoon, with most cases coming from one region. 👉 "Show me some typical calls." You get the relevant calls and their transcripts. 👉 "Which customers are still waiting for a reply?" You get the open tickets, starting with the oldest. The useful part is that you don’t have to know in advance which report you need. You can start with a question, see what the data says and follow wherever the answer takes you. And it’s not limited to customer care. Sales can check a customer’s support history before a meeting. Quality managers can analyse calls or review email quality using prepared prompts. MCP is quickly becoming a common way to connect business applications with AI assistants, and we’ve built it directly into Daktela. There’s nothing to install. Add your Daktela URL to your AI client, log in and start asking questions. Access is read-only by default. Setup guide: https://lnkd.in/dKA4YNEC #CustomerCare #ContactCenter #AI #MCP

On September 10th, Anthropic’s Threat Report revealed that a foundation model had been used by the ShinyHunters threat actor group to reverse 1.8 million apps on the Google Play store. The threat actors then downloaded, decompiled, and scanned the apps for credentials, API endpoints, and more. Within 34 hours 2100 Azure AD tokens were disseminated. This is a brave new world. Open AI warned us about this with their call for collective action. If you haven’t applied protections against reverse engineering to your mobile apps already, now is the time. If you need help, hit me up on DM. If you’d like an easy way to use AI to fight AI, check out the link in the comments for a description of our Quick Protect Agent, an agent that will apply basic protections that will provide resiliency against reverse engineering attacks.

𝗪𝗵𝗮𝘁 𝗶𝗳 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗼𝗳 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗹𝗶𝗲𝗻𝘁? Not another copilot. Not another AI sidebar inside another tool. The other way around. You stay in Claude, ChatGPT, Cursor or wherever you already work. From there, you can ask what integrations already exist, inspect processes, create a new integration, trigger executions or investigate what went wrong. The integration platform becomes accessible from the working environment instead of forcing another context switch. That distinction is more interesting to me than simply saying: “Now our integration platform has AI.” On Tuesday, Asmo Urpilainen will show exactly what that looks like with the Frends MCP Server. Live. From scratch. September 15, 14:00 CEST. If you're thinking about how AI changes the way integration teams actually work, this is probably worth 45 minutes. https://lnkd.in/dacgxd5N

Frends MCP Server explained. Our new video explains the Frends MCP Server: how you build, deploy, monitor and debug integrations by describing what you want — from the AI client you already use. The AI gets a scoped set of tools, not a free hand on the platform. Every action is logged and governed, and nothing goes live without your review. Frends #integration #iPaaS #AI #Automation #MCP

AI is fundamentally changing the speed at which companies can experiment, build and innovate. In my recent conversation with Brian Goffman of TPG, he shared examples of teams testing an idea in the morning, learning from it, and shipping improvements that same afternoon. That’s a remarkable change—and it gets to the heart of what I’ve been calling the Fourth Wave of software development. AI has dramatically accelerated the creation of software, but in most instances the rest of the enterprise has not kept pace. Planning, testing, security, and delivery all need to operate at a fundamentally different pace if companies are going to capture the full value of AI. And as more of that work shifts to AI and agents, one thing doesn’t change: accountability still sits with the humans running the company. Brian and I covered a lot of ground on what he’s seeing across the market, how AI is changing the way companies operate, and what leaders should be thinking about as this next wave takes shape. Great conversation with a lot of practical insight from someone with a unique vantage point across the industry. Link below, check it out!

Since we launched REX, the interest has been louder than anything we've seen. And it changed how we sell. Everyone buying AI right now is asking the same question: Is this real, and will it actually work for me? Most AI is sold on a promise and proven on the customer's time. And the current market is demanding real results, before actual commitment. We're lucky because REX shows results early enough that we don't have to ask for the benefit of the doubt. So we've moved to a POC-led process. We put REX on your real deals, you see what it does, then you decide. In a market full of promises, we'd rather show you. This worked really well, so we're reshaping the team around this motion and hiring 3 roles in London: → Founding SDR → Solutions Engineer → Customer Success Manager If you want to sell something that proves itself in front of the customer, come build this with us. https://lnkd.in/eckKrz4v

An AI you can keep improving Most AI tooling gives you limited visibility into what is happening under the hood. That is fine when everything works, but it makes it hard to improve things when it does not. HALO is built on the assumption that your team needs to be able to see, question, and correct what the AI is doing at any point. If you are managing AI for customer service, whether you built something yourself, stitched together tools, or are working with a platform that does not give you this level of insight, the gap between running an AI agent and actually managing one comes down to exactly this: can you see what it is doing, and can you act on it? The new analytics features make that more practical. If you are already using HALO, the Resolution Rate breakdown, Customer Feedback Score, and Topic Analysis are available in your analytics overview now.

Iedere AI-training leert je om context mee te geven. Maar hoe krijg je dat voor elkaar bij elk van de 10.000 klanten in je database? Want wie is die klant? Welke stap in de klantreis heeft hij net gezet? Heeft hij al eerder gekocht, of is dit zijn eerste contact? Welk kanaal gebruikt hij het liefst? Reageert hij op aanbiedingen, of haakt hij dan juist af? Vang je die context, dan kun je er conclusies uit trekken en op handelen, op het juiste moment voor elke klant. Hoe meer context, hoe scherper het resultaat. Na HALO lanceren we een nieuw dataplatform dat precies dát doet. Realtime klantcontext, AI en messaging in één fundament. Één gedeelde context waaruit marketeers én agents gelijktijdig putten. Gebouwd voor agents die in real time beslissingen nemen. Hoe dit precies werkt, laat ik je op 25 juni live zien. We organiseren dan een event op CM.com Campus in Breda, met daarna een groot feest in ons nieuwe park. Wil je livestream volgen? De link staat in de comments. Wil je er live bij zijn? Stuur me dan een berichtje.

Al zo'n twintig jaar houd ik me bezig met de vraag welke taken we aan een machine kunnen overdragen en welke niet. Meestal is dat een technische of een filosofische discussie. Bij bezwaar- en beroepsprocedures voor overheden is deze vraag actueel, relevant en de machine kan ook hier mogelijk helpen. Tegelijkertijd zijn er wel kaders. Wie dit werk dagelijks doet, herkent het beeld zeker. De inhoudelijke afweging in een dossier vraagt ervaring, tijd en aandacht. Het werk eromheen is grotendeels repeterend. Bijvoorbeeld dossiers ordenen, stukken opzoeken, samenvatten en standaardpassages opstellen. Daar verdwijnt een flink deel van de dag in, terwijl de werkvoorraad blijft groeien. Dat maakt dit een interessant testgebied voor Agentic AI. De afweging zelf blijft bij de behandelaar, want daar hoort die te liggen. Wat wel kan, is de voorbereiding ondersteunen en zichtbaar houden hoe een voorstel tot stand is gekomen. Samen met Blueriq en Nebul hebben we vanuit Deloitte rondom dit thema een pilot gedaan. Agentic AI in combinatie met een deterministische procesengine, zodat elke stap lokaal en onder eigen regie blijft. Op dinsdag 29 september om 16:00 gaan Frank van den Hul en ik hierover in gesprek. Aanmelden: https://lnkd.in/edCqu865 #AI #explainableAI https://lnkd.in/edCqu865 #AI #explainableAI