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Most technically strong SaaS companies reach the same bottleneck.
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisAI is getting better at delegation. 😄🤖 Honestly, that might be the most corporate answer an AI has ever given. 😂 The future of AI in business isn’t just about what technology can do, it’s also about knowing when to delegate. #AI #ArtificialIntelligence #AIinBusiness #FutureOfWork #GenerativeAI #BusinessInnovation #FutureOfAI #HumanAI #Sibos #Sibos2026 Sibos
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisThe CMO role is changing. It’s no longer enough to build the brand, generate demand and create pipeline. Increasingly, CMOs need to understand how the entire commercial system turns investment into predictable revenue. And with AI changing how teams operate, that shift is only accelerating. I wrote about why I believe the next evolution of the CMO is from marketing leader to architect of the revenue engine. Would be interested to hear how other leaders are seeing this shift. #CMO #MarketingLeadership #RevenueGrowth #GTMStrategy #AIinMarketingThe CMO’s Next Evolution: From Marketing Leader To Architect Of The Revenue EngineThe CMO’s Next Evolution: From Marketing Leader To Architect Of The Revenue Engine
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisWe had a great first day at Sibos in Miami! ��� Fantastic turnout for Martin Markiewicz and Patrick Kirwin’s session - especially considering the early start, a packed agenda, and several other sessions happening at the same time. We are ready for Day 2! If you’re around, come by and say hi — we’d love to connect. #SIBOS #SIBOS2026 #RegTech #AIinbanking Saurabh Sharma David Deutsch Pia Ffoulkes
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisCome say hi!Vlada Grebenykova 🇺🇦🇬🇧 shared thisLooking for us at Sibos 2026? No map needed! #Sibos2026 #Sibos #Innotribe #SilentEight #AI #Payments #FinCrime #FinancialCrime #Banking Patrick Kirwin Pia Ffoulkes Martin Markiewicz Vlada Grebenykova 🇺🇦🇬🇧
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisI shared a few thoughts on something I believe is becoming a real competitive advantage for companies: 💡𝐡𝐨𝐰 𝐟𝐚𝐬𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐭𝐮𝐫𝐧 𝐬𝐢𝐠𝐧𝐚𝐥𝐬 𝐢𝐧𝐭𝐨 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧. AI can make us faster, but speed alone isn’t the point. The interesting part is how we combine data, AI, experimentation and human judgment to learn faster, make better calls and double down on what actually works. This goes well beyond marketing. For business owners and C-level leaders, it’s really about building organisations that can adapt faster than the market around them. Would love to hear how others are thinking about this. https://lnkd.in/eAFCj_TM #Leadership #AI #BusinessGrowth #MarketingLeadership #CMO #DataDriven #GrowthStrategy
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Vlada Grebenykova 🇺🇦🇬🇧 shared this❓Who’s heading to Sibos this year ❓ I’ll be there with our US team at Silent Eight: Saurabh Sharma Patrick Kirwin Martin Markiewicz. Whether you want to talk payments, financial crime, AI, sanctions, screening, transaction monitoring or freediving over coffee, I would love to make time. Book a meeting with me or one of my US teammates here: ➡️ https://lnkd.in/e3N_-2rw Or, if you prefer, just DM me directly and we will find a time to catch up 🙌 #SIBOS2026 #SIBOS #AIinBanking #transactionmonitoring #Banking #AI #Compliance #RegTech
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Vlada Grebenykova 🇺🇦🇬🇧 shared this𝐓𝐡𝐞 𝐁𝐞𝐬𝐭 𝐆𝐓𝐌 𝐓𝐞𝐚𝐦𝐬 𝐀𝐫𝐞𝐧’𝐭 𝐁𝐢𝐠𝐠𝐞𝐫. 𝐓𝐡𝐞𝐲’𝐫𝐞 𝐁𝐞𝐭𝐭𝐞𝐫 𝐃𝐞𝐬𝐢𝐠𝐧𝐞𝐝. For years, the default response to growth was simple: Pipeline is not growing → hire more salespeople. Demand is slowing → hire more marketers. Customers need more support → add more CSMs. Revenue is becoming complex → add more RevOps. Headcount became the solution to almost every GTM problem. However, there’s a problem with that model: More people don’t necessarily create more growth. They can also create more handoffs. More meetings. More tools. More management layers. More complexity. And eventually, 𝐥𝐞𝐬𝐬 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞. The better question for CEOs and founders is: 𝐇𝐨𝐰 𝐦𝐮𝐜𝐡 𝐫𝐞𝐯𝐞𝐧𝐮𝐞 𝐜𝐚𝐧 𝐭𝐡𝐢𝐬 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐞 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐰𝐞 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐡𝐚𝐯𝐞? That changes how you think about GTM. 💡AI should not simply give every employee another tool. It should remove low-value work, automate repetitive workflows and allow people to spend more time on the decisions and activities that actually move revenue. That also means rethinking the boundaries between Marketing, Sales, RevOps and Customer Success. Some responsibilities will disappear. Some will merge. Some will become highly automated. And some roles will become significantly more strategic. The CMO, in particular, needs to think beyond marketing productivity. The question isn’t: “How much can my marketing team produce?” It is: “𝐇𝐨𝐰 𝐦𝐮𝐜𝐡 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐨𝐮𝐭𝐩𝐮𝐭 𝐜𝐚𝐧 𝐭𝐡𝐞 𝐞𝐧𝐭𝐢𝐫𝐞 𝐆𝐓𝐌 𝐬𝐲𝐬𝐭𝐞𝐦 𝐩𝐫𝐨𝐝𝐮𝐜𝐞 𝐟𝐫𝐨𝐦 𝐞𝐯𝐞𝐫𝐲 𝐩𝐨𝐮𝐧𝐝 𝐢𝐧𝐯𝐞𝐬𝐭𝐞𝐝?” That is a very different leadership metric. 📟 The old GTM model was: More people → More activity → More complexity 🤖 The modern GTM model should be: Better systems → AI-enabled workflows → More commercial leverage The goal isn’t to build a bigger GTM organisation. It’s to build an organisation where every person has more commercial leverage. That’s the next frontier of GTM leadership. #GTM #RevenueGrowth #AI #B2BSaaS #CMO #GoToMarket
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Vlada Grebenykova 🇺🇦🇬🇧 shared thisContrary to popular belief, my job isn’t my only hobby. 😄 Sharing a glimpse of another one: traveling, exploring, and discovering the underwater world. 🌊🤿 #LifeBeyondWork #freediving #UnderwaterWorld #Hobbies #WorkLifeBalance
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Vlada Grebenykova 🇺🇦🇬🇧 posted this💡The companies that win won’t have better marketing. 𝐓𝐡𝐞𝐲’𝐥𝐥 𝐦𝐚𝐤𝐞 𝐛𝐞𝐭𝐭𝐞𝐫 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬. We spend a lot of time talking about execution. More campaigns. More sales activity. More product releases. More AI tools. In a B2B SaaS business, execution is rarely the only constraint. 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐢𝐬 as well. As companies scale, they accumulate more data, more teams and more specialised functions. ☢️That’s where complexity starts to compound: Product has one view of the market. Sales has another. Marketing sees different customer signals. Customer Success sees what customers actually do after the sale. Finance sees the commercial reality. Yet these insights often sit in separate systems, teams and priorities. ❓The result?❓ A company can be extremely busy while still making slow or disconnected decisions. 🤖AI makes this challenge even more important. The value isn’t simply in using AI to make individual teams faster. 🗝️ It’s in using technology, data and customer intelligence to help the organisation 𝐦𝐚𝐤𝐞 𝐛𝐞𝐭𝐭𝐞𝐫 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬, 𝐟𝐚𝐬𝐭𝐞𝐫. Which markets should we prioritise? Where should we invest? Which customers should we pursue? What should Product build next? Where is growth actually constrained? What should we stop doing? These are leadership questions. And this is where I see the role of the CMO continuing to evolve. The strongest CMOs don’t just bring marketing insight to the leadership table. They connect market intelligence, customer behaviour and commercial performance to help the business make better decisions. 💡Because sustainable growth isn’t created by doing more. It’s created by making better decisions about what matters and executing those decisions exceptionally well. #CMO #CEO #GrowthStrategy #B2BSaaS #CommercialLeadership #MarketingLeadership #CMOinsights
Vlada Grebenykova 🇺🇦🇬🇧 commented on a post
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Love the vid! Thank you for coming to support 🙌🔝
Vlada Grebenykova 🇺🇦🇬🇧 replied to a comment
16h
Phil Treagus-Evans thanks for sharing your thoughts!
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Vlada Grebenykova 🇺🇦🇬🇧 liked thisVlada Grebenykova 🇺🇦🇬🇧 liked thisI am #hiring an Investment Analyst for NextReg. Remote (U.S., U.K., Italy, or LATAM) or on-site in Brickell, Miami. You will work directly with our leadership on deal sourcing, research, and investment platform development. What were looking for: - High capacity and high ownership - A constant sense of urgency - A real passion for the future of finance and investing - A go-getter who wants to build, not just analyze This is a high-growth, intense environment. It is NOT a regular role with repetitive responsibilities. If thats you, DM me your CV directly. (Bonus points if you are already following the NextReg page!) #Hiring #Fintech #VentureCapital
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Vlada Grebenykova 🇺🇦🇬🇧 reacted on thisVlada Grebenykova 🇺🇦🇬🇧 reacted on thisThank you, Miami. You were amazing. 𝗦𝗜𝗕𝗢𝗦 𝟮𝟬𝟮𝟲 put Agentic AI in finance at center stage. Much of my career has been about 𝗱𝗿𝗶𝘃𝗶𝗻𝗴 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝗰𝗿𝗼𝘀𝘀 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀; from J.P. Morgan and Standard Chartered to what we’re building today at Silent Eight. Having seen several waves of technology transformation, 𝗔𝗜 𝗳𝗲𝗲𝗹𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁. It is changing how we reason, decide and create value. The question now is simple: 𝗵𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗼𝘃𝗲 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗱𝗲𝗺𝗼 𝘁𝗼 𝗿𝗲𝗮𝗹 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝘃𝗮𝗹𝘂𝗲 𝗮𝘁 𝘀𝗰𝗮𝗹𝗲? And yes, the driverless rides felt straight out of the sci-fi movies we all remember. Maybe that’s the best reminder: 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳𝘁𝗲𝗻 𝗮𝗿𝗿𝗶𝘃𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘄𝗲 𝗿𝗲𝗮𝗹𝗶𝘀𝗲 𝗶𝘁. 𝗠𝗶𝗮𝗺𝗶, until next time. 𝗦𝗶𝗻𝗴𝗮𝗽𝗼𝗿𝗲, 𝘀𝗲𝗲 𝘆𝗼𝘂 𝗮𝘁 𝗦𝗜𝗕𝗢𝗦 𝟮𝟬𝟮𝟳. Sibos 2026 #AgenticAI #FinancialCrime #AI #FinancialServices #Innovation
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Vlada Grebenykova 🇺🇦🇬🇧 reacted on thisVlada Grebenykova 🇺🇦🇬🇧 reacted on thisMartin Markiewicz Built an AI That Refuses to Guess Martin Markiewicz calls himself a builder, and the things he has built vary wildly. Before he was fighting financial crime, he worked on hydropower plants that powered communities, and before that, he studied math for the fun of it. His work took him from Poland to Singapore, where in 2015 he co-founded Silent Eight with Michael Wilkowski and Julia Markiewicz. What began in a local accelerator as an AI-powered search tool has grown into a company whose technology now runs inside some of the largest banks in the world. The problem Silent Eight set out to solve is enormous and mostly invisible. "Financial crime is dirty money moving through our global financial system," Markiewicz explained in a Tech in Asia video, and the sheer volume of it defeats human teams. Every day, banks have to sort the customer buying something online from the organization trying to fund an attack, and getting it wrong in either direction carries a cost. Doing that properly, he estimates, would take tens of millions of investigators. "The current setup just does not scale," he said. Hiring ever-larger teams isn't the answer. Silent Eight is developing AI that does the whole job rather than assisting around the edges. Its latest platform, Iris 7, deploys AI agents that carry an investigation from the first alert to a final, automatically applied decision. "We don't want them to be assistants," Markiewicz said, describing a system a bank can trust to own a case from start to finish. The design borrows from the best human investigators, and it is deliberately taught to admit uncertainty and hand a case to a person rather than bluff. In compliance, the stakes leave no room for approximation. "Even $1 is a wrong answer. Zero is the expectation," he said. Since its founding, Silent Eight has drawn partnerships with Standard Chartered, HSBC, and a string of major Gulf banks, raised more than $55 million across several rounds, and reached deployments in over 150 regulated markets. For Markiewicz, the appeal has never changed. It is a very hard problem, and someone has to build the thing that solves it.
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Vlada Grebenykova 🇺🇦🇬🇧 liked thisVlada Grebenykova 🇺🇦🇬🇧 liked thisIt’s a pleasure to be at Sibos in Miami! Our colleagues Luis Soutullo, Rafael Linde Castillo, and Anastasiia Ragimli are already there. --------------------------- ¡Es un placer estar en #SIBOS, en Miami! Ya están allí nuestros compañeros Luis Soutullo, Rafael Linde Castillo y Anastasiia Ragimli.
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Business Development and Marketing
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