Banking conversations don’t follow a script. Customers interrupt. They switch languages. Background noise happens. Intent is often unclear. Real-world customer communication is messy — and AI needs to be built for those moments, not just perfect demos. Enterprise AI for banking needs to handle: • changing customer intent • multilingual conversations • noisy environments • seamless AI-human collaboration • integration with existing workflows The future of customer service is not replacing conversations with automation. It is creating smarter, more scalable, and more consistent customer experiences. #BankingAI #ContactCenterAI #CustomerExperience #EnterpriseAI #DynaAI
Dyna.Ai
Technology, Information and Internet
Singapore, Singapore 42,665 followers
AI Workforce, Better Results. - www.dyna.ai
About us
Dyna.Ai is a leading AI-as-a-Service company headquartered in Singapore, delivering enterprise-grade AI solutions that turn advanced AI into measurable business results. The company provides AI-powered products and services that enhance customer experience (CX), improve employee experience (EX), and optimize core business operations, with solutions designed for practical enterprise deployment. With a global presence across Asia, the Middle East, and the Americas, Dyna.Ai powers financial institutions, contact centers, and more enterprises worldwide. 📮info@dyna.ai
- Website
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https://www.dyna.ai/
External link for Dyna.Ai
- Industry
- Technology, Information and Internet
- Company size
- 51-200 employees
- Headquarters
- Singapore, Singapore
- Type
- Privately Held
- Founded
- 2024
Locations
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Primary
Get directions
9 Raffles Place, #23-05, Republic Plaza
Singapore, Singapore 048619, SG
Employees at Dyna.Ai
Updates
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Yesterday, Dyna.Ai co-hosted an industry session alongside Singapore FinTech Association (SFA), bringing together leaders from fintech and the technology partners powering financial services, to tackle a question we hear constantly: AI is deployed. So why isn't it delivering? The conversation was candid, experience-driven, and exactly what the industry needs more of. We heard from keynote speaker Dr. Luke Soon, and panelists Ashley Thomas, Asif Saleem, Romeo Jr. Solas, Siddharth Mohanty, and Thomas Chia on what it actually takes to move from pilot to production, how organizations are measuring success, and what needs to change. A few themes that stood out: - Deployment is organizational before it's technical. Scaling AI isn't the hard part, embedding it into how people already work is. - Outcomes are the only metric that matters. Agent counts and adoption rates mean nothing if operations, customer experience, or revenue don't move. - Governance should get designed in, not bolted on. Across markets and shifting regulation, the institutions getting this right bring risk, compliance, and business in from day one, not after deployment. Thank you to our panelists and very own moderator Cynthia Siantar for a session that went beyond hype and into real work. And to everyone who joined us in the room, thank you for showing up and being part of the conversation! #AI #FinancialServices #AIDeployment #ResultsAsAService #DynaAI #SFA
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AI is deployed. Why isn't it delivering? Join Dyna.Ai and the Singapore FinTech Association (SFA) tomorrow as industry leaders discuss how financial institutions can turn AI adoption into measurable business results. 🎤 Keynote: Dr. Luke Soon, Partner & AI Leader, PwC 🎤 Panelists: • Ashley Thomas, Head of Strategy & Operations, Revolut • Asif Saleem, Financial Services GTM Lead, Japan & APAC, Google Cloud • Romeo Jr. Solas, VP, Innovation & Transformation APAC, TP • Siddharth Mohanty, Head of Solutions – Lending, FIS • Thomas Chia, CTO, Chocolate Finance 🎙️ Moderator: Cynthia Siantar, General Manager, Singapore & Hong Kong, Dyna.Ai 📅 2 July 2026 | 4:00–6:00 PM SGT 📍 80RR FinTech Hub SG Register: https://lnkd.in/ePnD89Vi #AI #FinancialServices #FinTech #EnterpriseAI #DynaAI
As AI adoption accelerates across Singapore's financial sector, many institutions have moved beyond experimentation and into deployment. However, a key challenge remains: translating AI capabilities into measurable business outcomes such as revenue growth, customer activation, and operational efficiency. 🎯 This session will explore why this gap exists and how leading institutions are moving from AI adoption to execution. The discussion will focus on embedding AI into business workflows, particularly in customer engagement and financial decision-making, to drive tangible, scalable results. 📅 2 July 2026, Thursday 🕓 4:00 pm – 6:00 pm (SGT), Registration begins at 3:45 pm 📍 80RR FinTech Hub SG, #08-01, 80 Robinson Road, Singapore 068898 Register now 👉 https://lnkd.in/ePnD89Vi Please note that confirmation will be provided via a Google Calendar invitation. #ArtificialIntelligence #FinTech #FinancialServices Dr. Luke Soon | Asif Saleem | Siddharth Mohanty | Romeo Jr. Solas | Thomas Chia | Ashley Thomas | Cynthia Siantar | Dyna.Ai Holly Fang | Tawishi Singh | Adrian Chng | Chye Kit Chionh | Alexander Fong | S. Alice Chen | Tang Wei | Tiffany Liu | Shannon L. | Shadab Taiyabi | Wanyi Wong | Bryan Tay | Shakeel Rashid | Swati Sodhani | Adeline, Bee Yen Lau (ACII) | Sylvia Saw McKaige | Gwendolyn Loh | Sheryl Aw | Christine Chua | Samantha Soong | Vigneshwari Nara
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Dyna.Ai reposted this
As AI adoption accelerates across Singapore's financial sector, many institutions have moved beyond experimentation and into deployment. However, a key challenge remains: translating AI capabilities into measurable business outcomes such as revenue growth, customer activation, and operational efficiency. 🎯 This session will explore why this gap exists and how leading institutions are moving from AI adoption to execution. The discussion will focus on embedding AI into business workflows, particularly in customer engagement and financial decision-making, to drive tangible, scalable results. 📅 2 July 2026, Thursday 🕓 4:00 pm – 6:00 pm (SGT), Registration begins at 3:45 pm 📍 80RR FinTech Hub SG, #08-01, 80 Robinson Road, Singapore 068898 Register now 👉 https://lnkd.in/ePnD89Vi Please note that confirmation will be provided via a Google Calendar invitation. #ArtificialIntelligence #FinTech #FinancialServices Dr. Luke Soon | Asif Saleem | Siddharth Mohanty | Romeo Jr. Solas | Thomas Chia | Ashley Thomas | Cynthia Siantar | Dyna.Ai Holly Fang | Tawishi Singh | Adrian Chng | Chye Kit Chionh | Alexander Fong | S. Alice Chen | Tang Wei | Tiffany Liu | Shannon L. | Shadab Taiyabi | Wanyi Wong | Bryan Tay | Shakeel Rashid | Swati Sodhani | Adeline, Bee Yen Lau (ACII) | Sylvia Saw McKaige | Gwendolyn Loh | Sheryl Aw | Christine Chua | Samantha Soong | Vigneshwari Nara
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Every customer call is a decision point. A question answered correctly. A request routed efficiently. A compliance requirement met. A service issue identified before it escalates. The goal of contact center AI isn't simply to automate conversations. It's to bring greater control, consistency, and visibility to every customer interaction. With AI-powered knowledge support, intelligent routing, human handoff, and quality oversight, enterprises can turn every call into a workflow that drives better service outcomes. #ContactCenterAI #CustomerExperience #VoiceAI #EnterpriseAI
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AI adoption is no longer the challenge. Execution is. Looking forward to exploring how financial institutions can turn AI initiatives into measurable business impact at the event co-hosted by Dyna.Ai and Singapore FinTech Association (SFA) 📅 2 July 2026 | 4:00 PM – 6:00 PM 📍 80RR Fintech Hub SG, Singapore Register here: https://lnkd.in/ePnD89Vi
"AI is deployed. So why isn't it delivering?" 🤔 It's the question almost every financial institution in Singapore is quietly asking. Most of us are past experimentation, the models are live, but turning that into real business outcomes (revenue, customer activation, efficiency) is where the gap shows up. On 2 July, we will be co-hosting an event with Singapore FinTech Association (SFA) where I'll be moderating a panel to discuss this topic. We'll be hearing from practitioners who are working through these challenges firsthand and discussing what it actually takes to move from AI adoption to execution. Joining me on the panel: 🔹 Siddharth Mohanty Head of Solutions, Lending, FIS 🔹 Romeo Jr. Solas VP, Innovation & Transformation, TP 🔹 Thomas Chia CTO, Chocolate Finance 🔹Ashley Thomas Head of Strategy & Operations, Revolut 📅 2 July 2026 (Thu), 4:00pm – 6:00pm SGT 📍 80RR FinTech Hub SG, 80 Robinson Road Register here: https://lnkd.in/gpgQmVXP If you're working on AI within financial services, I'd love to have you join us for what I hope will be a practical and honest discussion. See you there!
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Tomas Skoumal, our Chairman and Co-Founder, was on the panel "From First Customer to First Million" at Echelon Singapore 2026 last week. The observations he shared about where AI belongs and what it has to deliver reflect what our clients navigate every day. That is why we built Dyna.Ai around outcomes, not deployment. #EnterpriseAI #AgenticAI #ResultsAsAService #Echelon2026 #DynaAI
Had a good time at Echelon Singapore 2026 last week, joining Imane Jamal Eddine and fellow panelists on "From First Customer to First Million". One thing that kept coming up is not whether AI works, but where it actually belongs relative to the people around it. That tension is more unresolved than most companies admit. Internally, the shift tends to be quieter than expected. Meeting notes that used to disappear become something the whole team draws on. People end up with more time for the work that actually moves things forward. With clients it gets more nuanced. Senior decision-makers, in our experience, still want a person in the room, and probably should. Where you are dealing with end consumers at scale, speed and consistency matter more than the relationship. The error most companies make is not distinguishing between the two. What we've seen repeatedly is that model selection is rarely the hardest part. The bigger challenge is connecting AI to the way a business already operates (its data, processes, and people) and doing that in a way that goes beyond a single team or function. That is where most of the real implementation work sits, and where we have spent most of our time with clients. We built our business on delivering outcomes from that system. Governments are starting to make this distinction explicit too. Not who builds the best model, but who puts AI to work. That shift in framing is significant. It moves the whole conversation toward outcomes, which is where the real work is. Most of the industry is still measuring how much AI they have deployed, instead of what it actually delivers. The ones who figure this out first will not just grow faster, they will be significantly harder to displace. #AgenticAI #ResultsAsAService #Echelon2026
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AI agents are changing how organisations think about work. It is no longer just about adding more capacity. It is about designing systems that work toward clear business outcomes. As Tomas Skoumal, Chairman and Co-founder of Dyna.Ai, shared with Fast Company Middle East, traditional functions are increasingly being absorbed into agent workflows, from information movement and task coordination to request processing. At Dyna.Ai, we believe enterprise AI should not stop at isolated productivity gains. It should be built into real business workflows and measured by real outcomes. #AgenticAI #EnterpriseAI #BusinessOutcomes #ResultAsAService
Across the Middle East, tech startups are already raising larger rounds than they did five years ago, while keeping teams lean by using AI to automate increasingly complex layers of administrative work. The next shift is even bigger: autonomous AI agents moving from experimental tools to mainstream infrastructure. "Startups become much leaner and faster as AI agents take over research, coding, support, and operations,” says Moussa Beidas, Partner, AI Strategy & Digital Transformation Leader at PwC. While entire functions won’t disappear overnight, Kais Zribi, General Manager - Middle East and Africa at Coursera, shares, they will be restructured with routine tasks increasingly delegated to AI, allowing humans to focus on direction, validation, and strategic decision-making. “The roles that grow are the ones that own that accountability, people who can define what a good outcome looks like, tie AI deployment to revenue targets, and course-correct in production,” adds Tomas Skoumal, Chairman and Co-founder of Dyna.Ai. “The strongest hires will be those who can see what actually needs to get done, work across systems, and make decisions in fast-moving environments,” says Dr. Adel Alsharji, COO of Presight. “Edge will go to people who deeply understand a domain and can orchestrate workflows,” says Jad Sayegh, Co-founder & CTO of Sarwa ثروة. Similar to how pilots supervise highly automated aircraft, Carl Nehme, founder of Layer10, says, future teams will “focus on judgment, direction, and outcomes, while AI handles much of the underlying execution and coordination.” The most powerful person will be a product thinker with deep domain knowledge, says Dani El-Zein, CEO of Supy. “Not a pure engineer. Not a pure designer. Someone who understands the problem so well that they can guide AI to build the right solution. Product, engineering, and design will merge into a single role.” In two years, many predict that business operations at mature startups will be largely automated. Read more: https://lnkd.in/gt6MNbHQ
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👏 🎇 Dyna.Ai is on site at Contact Islands 2026! We're excited to meet CX, operations, and contact center leaders who are exploring how AI can make enterprise customer engagement faster, smarter, and more scalable. If you're attending, come visit the Dyna.Ai team at Booth G-14 and see how enterprise AI can support the next stage of contact center transformation. #DynaAi #ContactIsland2026 #EnterpriseAI #AIContactCenter #CustomerExperience
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🚨 Exclusive at Contact Islands 2026 Hire your first AI Outbound or Inbound Agent starting at just $500/month. No lock-in. No hidden conditions. And if the pilot doesn't hit the targets agreed upfront, you get a full refund. 📍 Visit Dyna.Ai at Booth G-14 🗓️ May 26–28, 2026 📌 Shangri-La Mactan, Cebu If you're exploring AI for contact center operations, this is the easiest way to test real deployment with minimal risk. See you in Cebu.
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