Duna

De "AI-profeten" Musk en Amodei willen de rem op AI-ontwikkeling. Pure marketing? Zeker niet. In het FD schreef ik over criminele AI-agenten en de nationale hobby van politici: banken bashen. Open-sourcemodellen lopen steeds korter achter op de miljardenspeeltjes van OpenAI en Anthropic. Stel je de moderne crimineel voor: duizenden AI-agenten die in een oogwenk honderden bankrekeningen openen. Om dat te doorzien, moet een bank zelf AI inzetten. Maar het Rijk beperkt de ruimte daarvoor met stroperig toezicht. In onze gesprekken met Europese banken zien we hetzelfde: een doorgeslagen 'check the box'-cultuur. Ondertussen is er steevast kritiek op hoe banken witwassen bestrijden. Dat zij die taak dragen, met 13.000 medewerkers en €1,6 mrd aan eigen kosten, daar hoor je niemand over. Geen politicus stelt de doodnormale vraag: wat doet de overheid zelf? Toezichthouders moeten niet alleen kijken naar de compliancerisico's van AI, maar ook innovatie stimuleren en het gevaar van achterblijven incalculeren.

We increased First-Time-Right onboarding for seQura by 38%, from 50% to 88% 🚀 The technology that makes this possible is our Policy Engine, which evaluates all compliance policies on (at least) every page load. When policies are evaluated in real time, we always know what information is missing without ping-ponging between case reviewers and the onboardee. Everybody in business onboarding knows these ping-pong cause massive drop-offs, we prevent as many as we can. Read our case-study: https://lnkd.in/ekhytMk6, or read about our policy engine: https://lnkd.in/e_RjpnYw

Europe has an elegant AI strategy: save the money, invest it in America, then complain America owns the technology. (1) The FT published a stark chart last week: business investment is expected to grow 40% in the US and 12% in the EU since 2001. Big Tech alone will spend $725bn this year. (2) Meanwhile, Dutch pension funds hold €293bn in American companies versus €97bn in European ones (DNB). We are funding the sovereignty loss we complain about. (3) The US even out-invests us in our own companies. US investors supplied 42% of VC funding into EU AI companies over the past decade. European investors: 33%. Sure, the US is spending like 5,000 drunken sailors after 9 months at sea. And we’ll see what happens once the bubble bursts. But we can't complain about who owns our future when we're not funding it ourselves. 🇪🇺

Compliance is boring, slow, and sometimes even flat out painful. Or at least, that's what it used to be. We helped seQura turn a classic bottleneck into a revenue driver by 16x'ing their case handling efficiency. We also increased first-time-right by 38%, only requiring follow ups in 12% of their cases. This is the magic of our policy engine, combined with smart AI automations. Read the full story here: https://lnkd.in/ekhytMk6 Lastly, if you love digging into gnarly business processes and build delightful experiences, Duna might just be the perfect place for you: https://duna.com/careers

Positief nieuws! Eerder deze maand mopperde ik nog dat onze pensioenfondsen vooral in Amerikaanse bedrijven beleggen. Welnu, ABP gaat €1 miljard investeren in Europees durfkapitaal. Techleap laat in hun rapport ‘State of Dutch Tech’ al jaren zien waarom dat nodig is. Europese pensioenfondsen beheren zo'n $9 biljoen, maar stoppen daarvan jaarlijks 0,01% (!!) in Europees durfkapitaal. Dus springen Amerikaanse investeerders in het gat: in Nederlandse groeirondes van €50–100 miljoen verdrievoudigde hun aandeel vorig jaar naar 40%. En ABP begint op de goede plek: de eerste €250 miljoen gaat naar het Scaleup Europe Fund, dat juist in grote rondes en strategische deep tech investeert. Met de rekenmachine erbij: €1 miljard is 0,18% van ABP's vermogen. Klein voor ABP. Groot voor Europese scale-ups.

I am often asked how Duna’s policy engine works. I think the best analogy is a paper map versus Google Maps. If you’ve plotted your route and printed a paper map, that route is set. You decide upfront that the drive goes from A to B to C. If something blocks the road, you have to redefine the entire route before moving forward. This is how a workflow-based system operates. Our policy engine focuses on the destination, not the path. Just like Google Maps reroutes around traffic, the policy engine reroutes around changing regulations or updated risk signals. The goal is to reach a compliant outcome, and the route adapts as new evidence becomes available. We’re able to get you there regardless of what happens along the way. In workflow systems, if you’re stuck, you’re stuck. More on the policy engine here: https://lnkd.in/e_RjpnYw