Mikhail Hamilton sits down with qa aaaa, a builder with hands-on time taking AI from “helper” to “operator” in payments. The conversation explores how Omise MCP lets AI agents plug into more than 60 payment tools across five markets, why Model Context Protocol underpins secure two-way control, and how orchestration moves beyond APIs to real-time, rules-aware execution. We touch on
A Market Hungry for Speed Meets a New Underwriting Playbook Brokers still chasing screenshots and static questionnaires to place mid-market cyber coverage face an awkward truth: the cloud moved on, but much of underwriting did not, and that gap slows deals, obscures risk, and frustrates clients that run almost everything on AWS or another major provider. Into that friction steps
Introduction After six straight years of losses in UK home insurance, the industry has been nudged toward a simple truth: stopping damage beats paying for it. That shift puts connected devices, real-time alerts, and structured data at the center of how carriers price risk, serve customers, and protect margins. Into this moment steps Onics, a Denmark-headquartered provider born from Develco
Imagine a world where insurance claims are settled almost instantly, where policyholders don’t have to wait weeks or months for payouts during critical times of loss. This isn’t a distant dream but a reality being shaped by the Faster Claims Payment (FCP) Service within the Lloyd’s insurance market. Developed through a powerful collaboration between the Lloyd’s Market Association (LMA), LIMOSS,
Picture a nation where the morning news is dominated not by stories of opportunity, but by waves of layoffs, shuttered offices, and workers left wondering if their job is next. This is the reality for many Americans today as the US job market grapples with unprecedented challenges. Economic uncertainty, fueled by rising tariffs and rapid advancements in artificial intelligence (AI),
Imagine a world where anyone—be it a small business owner, a teacher, or a creative artist—can build sophisticated software without ever touching a line of code, simply by describing their vision to an intelligent, autonomous system. This isn’t a distant dream but a transformative reality unfolding right now. Agentic AI, a groundbreaking evolution of artificial intelligence, is shifting from being
Imagine a frustrated customer reaching out to a telecom provider, hoping for a quick resolution to a billing error, only to be trapped in an endless loop with a chatbot that repeats the same unhelpful responses. This scenario is all too common when Artificial Intelligence (AI) is mishandled in customer experience (CX) strategies. Across industries like retail, banking, and telecom,
Imagine a world where payments happen seamlessly in the background, orchestrated not by human hands but by intelligent systems that anticipate every need, from processing transactions to issuing refunds. This isn’t a distant dream but a reality taking shape right now, driven by artificial intelligence reshaping the landscape of commerce. The rapid evolution of payment systems through AI is transforming
Introduction When a plan claims every order can start yesterday and every machine can run nonstop, faith in the schedule erodes long before the first shift clocks in, because complex manufacturing only works when capacity, materials, labor, and tooling are treated as hard limits rather than polite suggestions. This is where the clash between Microsoft Dynamics 365 Business Central’s default
Imagine a world where cloud security breaches are stopped before they even begin, where the relentless tide of cyber threats in multi-cloud environments is met with a barrier that anticipates and neutralizes risks at their inception. This isn’t a distant dream but a tangible reality brought to life by Blast Security, a Tel Aviv-based cybersecurity innovator. In an era where
In a year when liquidity windows opened and closed in weeks, CFOs discovered that brittle spreadsheets and delayed consolidations turned routine variances into existential risks, pushing finance teams to search for platforms that translate raw volatility into readable signals before shock becomes damage. That search increasingly centered on live, unified finance data—cash positions, margins, budget adherence, and entity-level variances in
Imagine a world where developers can fine-tune AI models to think deeper for complex business strategies or dial back for lightning-fast responses in real-time apps—all with a few simple parameter tweaks. This is the promise of Google’s latest updates to the Gemini API, tailored for the powerful Gemini 3 AI model. Unveiled recently, these enhancements aren’t just incremental upgrades; they
