Piyush Chhabra: Revolutionizing Cross-Border Payments with iOS and SWIFT Integration Solutions
The global payments industry is undergoing a massive transformation, driven by the need for faster, cheaper, and more secure cross-border transactions. At the forefront of this revolution is Piyush Chhabra, a fintech architect who is redefining international money transfers by integrating iOS-native payment solutions with SWIFT's global banking network. His approach leverages cutting-edge technology to eliminate traditional pain points high fees, slow processing times, and a lack of transparency, making cross-border payments seamless for businesses and consumers alike.
Traditional international money transfers suffer from several inefficiencies: High Transaction Fees – Banks and intermediaries charge hefty fees for currency conversion and processing. Slow Settlement Times – SWIFT transfers can take 2–5 business days, causing delays in business transactions. Lack of Transparency – Hidden fees and fluctuating exchange rates make it difficult for users to track costs. Regulatory Hurdles – Compliance with AML (Anti-Money Laundering) and KYC (Know Your Customer) rules slows down onboarding.
Piyush recognized these challenges early and set out to build a next-generation cross-border payments platform that integrates: iOS-native payment technologies (Apple Pay, Siri Shortcuts, and Wallet integration).
SWIFT's global payment network (for secure, bank-backed transactions).
Real-time FX (foreign exchange) optimization (AI-driven currency conversion).
Despite the rise of blockchain and fintech alternatives, SWIFT remains the backbone of global banking, connecting 11,000+ financial institutions worldwide. Piyush optimizes SWIFT, integrating AI-powered routing for the system to automatically select the fastest and cheapest SWIFT corridor based on destination. His SWIFT integration with AI checks IBAN/SWIFT details before submission, which reduces failed transactions and allows users to get live transaction updates for their SWIFT transfers.
Piyush Chhabra's Cross-Border Payments integrated solution with IOS and SWIFT provided the following benefits to the financial services industry by:
🚀 Reduced delays (AI predicts processing bottlenecks).
💰 Lower fees (dynamic routing avoids expensive intermediaries).
🔒 Fraud prevention (machine learning detects suspicious transactions).
Banks and payment providers often apply hidden markups on exchange rates, costing users millions annually. Piyush's AI-driven solution scans multiple liquidity providers to offer the best real-time FX rate and Machine learning forecasts currency trends, allowing users to lock rates before they worsen.
Piyush's integration of iOS, SWIFT, and AI is just the beginning. His global currency transfer solutions include: Blockchain Hybrid Payments – Combining SWIFT with Ripple or Stellar for near-instant settlements.
– Combining SWIFT with Ripple or Stellar for near-instant settlements. AI Compliance Automation – Using NLP to auto-fill KYC/AML forms from uploaded documents.
– Using NLP to auto-fill KYC/AML forms from uploaded documents. AR Payment Tracking – Visualizing transaction paths in Apple's ARKit for better transparency.
Piyush is redefining cross-border payments by merging iOS's seamless UX with SWIFT's reliability and AI's intelligence. These solutions provide faster, cheaper, and more transparent international transactions.
As technology evolves, Piyush Chhabra's model could become the gold standard for global payments, bridging the gap between traditional banking and modern fintech innovation. The future of cross-border payments isn't just about speed or cost. It's about seamless integration into daily life. With Piyush's vision, sending money across borders could soon be as easy as sending an iMessage.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Int'l Business Times
3 hours ago
- Int'l Business Times
Tech Boom Powers US Stock Futures Ahead Of GDP Update
U.S. stock futures are surging as investors weigh the impact of tech earnings against upcoming economic data. According to Reuters, futures for the S&P 500 rose 0.4%, Nasdaq‑100 futures climbed 0.5%, and Dow futures ticked up 0.3% in early trading Thursday. This rally follows a truce in the Israel‑Iran conflict, which eased geopolitical tensions and lifted risk sentiment across markets, Investopedia reported. The strength of tech was front and center: Micron Technology's bullish revenue forecast—boosted by surging AI-driven data center demand—sent its shares up 1.3% pre-market, while Marvell and AMD also rallied around 2–3%. Notably, Nvidia hit a new all-time high, briefly becoming the world's most valuable company with a market capitalization of approximately $3.77 trillion. Microsoft, Nvidia's teammate in the AI arms race, similarly marked fresh peaks, underscoring the sector's leadership role. Economic data this morning painted a mixed picture: the Commerce Department confirmed a first-quarter GDP contraction of 0.5%, deeper than initially thought, attributed mainly to a surge in imports ahead of tariff hikes. However, jobless claims declined, hinting at a resilient labour market, as reported by Reuters. While markets digest this duality, Federal Reserve Chair Powell has urged patience on rate cuts—though President Trump is reportedly exploring a replacement before the term ends, adding political uncertainty. Nonetheless, futures now price in roughly 63 basis points of easing by year-end, with the first cut anticipated around September. Investors are now eyeing Friday's release of the Personal Consumption Expenditures report, the Fed's preferred inflation measure, for clues about monetary policy direction. In the meantime, tech earnings continue to steer the market, offering a cushion against macroeconomic ambiguity heading into the second half of 2025.
DW
11 hours ago
- DW
Will AI really shrink workforces as Amazon boss says? – DW – 06/26/2025
Andy Jassy is not the first executive to warn about the broader adoption of artificial intelligence and how it will fundamentally reshape workforces. Are the doomsayers right? Amazon CEO Andy Jassy recently announced that his company would reduce its workforce as artificial intelligence (AI) replaces human employees. He also warned that AI will affect a wide range of jobs and sectors. Jassy is not alone, as many other tech firms have issued similar warnings about how AI breakthroughs could reshape their workforces. In May, the CEO of the AI startup Anthropic told Arlington, Virginia-based American news website that AI could wipe out half of all entry-level white-collar jobs in the next one to five years. US public companies, in fact, have reduced the number of their white-collar staff by a collective 3.5% over the past three years, the reported, citing employment data provider Live Data Technologies. Over the past decade, one in five companies in the S&P 500 have shrunk, it said. To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video A number of tech companies, including Microsoft, Hewlett Packard and Procter & Gamble, have announced layoffs of thousands of workers over the past several months. Recently, retail service provider Shopify said that teams requesting additional staff would first need to prove that AI could not perform the tasks. Duolingo, a language-learning app, plans to gradually replace its external workers with AI. The Organization for Economic Cooperation and Development (OECD) estimates that a quarter of jobs worldwide are at a high risk of being replaced by AI automation. But AI is also expected to create new opportunities and boost productivity. A report by the World Economic Forum earlier this year forecast that technological transformation would displace about 92 million existing jobs by 2030, while creating 170 million new ones. Jobs in developed economies will likely be more affected by AI than those in developing ones. A study published by the International Monetary Fund (IMF) last year found that the technology could affect 60% of jobs in developed economies — around half of them negatively, while the other half will see a positive impact. The report concluded that about 40% of jobs in emerging markets and 26% of jobs in low-income countries will be hit. But while these labor markets are set to see a smaller initial impact from AI, they are also less likely to benefit from the increased productivity that AI promises. During past technological breakthroughs, lower-skilled and blue-collar workers bore the most brunt, like workers on factory floors being replaced by robots. But broad AI adoption is expected to hit higher-educated, white-collar workers hard, particularly those with tasks that AI could perform at a similar or better quality than a human worker. A study conducted by the Pew Research Center in the US found that occupations involving information gathering and data analysis like web developers, technical writers, accountants and data entry workers, among others, would be at high risk of replacement by AI. Labor-intensive jobs that can't be easily automated, like construction workers, child care workers and firefighters, are expected to remain the most resilient. The possibility of massive job losses has triggered concerns over the disruptive effects of AI on employment and society, drawing the attention of politicians and even religious leaders, with Pope Leo XIV, who became the head of the Catholic Church in May, warning of the threat posed by AI to jobs and human dignity. Labor market expert Enzo Weber from the Institute of Employment Research (IAB) in Nuremburg, Germany, believes that the concerns over job losses are misplaced. Speaking with DW, he said AI advancements open up a wide range of economic possibilities and are more likely to help workers than cause mass unemployment. "AI primarily changes work, but it does not fundamentally eliminate it," said Weber, adding that the technology in most cases helps human workers "develop new tasks and perform their tasks better rather than just replacing them." A paper published in January by Harvard economists David Deming, Christopher Ong and Lawrence H. Summers shared a similar view. The economists argue that the automation of individual job tasks "does not necessarily reduce employment" and may even lead to "job gains in some sectors" of the economy. "In principle, being able to automate a previously onerous task could make workers so much more productive that the increased output offsets the fact that some of their work is now being done by a machine," they stated in the paper. Stressing that the impact of AI is likely to be "widespread and long-lasting," they however also wrote that "history teaches us that even if AI disrupts the labor market, its impact will unfold over many decades." Given that artificial intelligence technology is still in its early stages, its precise longer-term impact on global labor markets remains uncertain. To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video The efficacy of many AI tools will also depend on how well they are integrated into workplaces, and the willingness and ability of workers to use them. If workers refrain from making full use of AI out of concern for their jobs, it could compromise the productivity boost the new technology promises. Labor market expert Weber urges companies and workers to adapt to the changing technology landscape and seize the opportunities because for him AI technology is a "game changer." "This [technology] presents opportunities, but they need to be seized. Further development and active training of workers are essential. Not just to keep pace, but to get as far ahead as possible."
Int'l Business Times
13 hours ago
- Int'l Business Times
Piyush Chhabra: Revolutionizing Cross-Border Payments with iOS and SWIFT Integration Solutions
The global payments industry is undergoing a massive transformation, driven by the need for faster, cheaper, and more secure cross-border transactions. At the forefront of this revolution is Piyush Chhabra, a fintech architect who is redefining international money transfers by integrating iOS-native payment solutions with SWIFT's global banking network. His approach leverages cutting-edge technology to eliminate traditional pain points high fees, slow processing times, and a lack of transparency, making cross-border payments seamless for businesses and consumers alike. Traditional international money transfers suffer from several inefficiencies: High Transaction Fees – Banks and intermediaries charge hefty fees for currency conversion and processing. Slow Settlement Times – SWIFT transfers can take 2–5 business days, causing delays in business transactions. Lack of Transparency – Hidden fees and fluctuating exchange rates make it difficult for users to track costs. Regulatory Hurdles – Compliance with AML (Anti-Money Laundering) and KYC (Know Your Customer) rules slows down onboarding. Piyush recognized these challenges early and set out to build a next-generation cross-border payments platform that integrates: iOS-native payment technologies (Apple Pay, Siri Shortcuts, and Wallet integration). SWIFT's global payment network (for secure, bank-backed transactions). Real-time FX (foreign exchange) optimization (AI-driven currency conversion). Despite the rise of blockchain and fintech alternatives, SWIFT remains the backbone of global banking, connecting 11,000+ financial institutions worldwide. Piyush optimizes SWIFT, integrating AI-powered routing for the system to automatically select the fastest and cheapest SWIFT corridor based on destination. His SWIFT integration with AI checks IBAN/SWIFT details before submission, which reduces failed transactions and allows users to get live transaction updates for their SWIFT transfers. Piyush Chhabra's Cross-Border Payments integrated solution with IOS and SWIFT provided the following benefits to the financial services industry by: 🚀 Reduced delays (AI predicts processing bottlenecks). 💰 Lower fees (dynamic routing avoids expensive intermediaries). 🔒 Fraud prevention (machine learning detects suspicious transactions). Banks and payment providers often apply hidden markups on exchange rates, costing users millions annually. Piyush's AI-driven solution scans multiple liquidity providers to offer the best real-time FX rate and Machine learning forecasts currency trends, allowing users to lock rates before they worsen. Piyush's integration of iOS, SWIFT, and AI is just the beginning. His global currency transfer solutions include: Blockchain Hybrid Payments – Combining SWIFT with Ripple or Stellar for near-instant settlements. – Combining SWIFT with Ripple or Stellar for near-instant settlements. AI Compliance Automation – Using NLP to auto-fill KYC/AML forms from uploaded documents. – Using NLP to auto-fill KYC/AML forms from uploaded documents. AR Payment Tracking – Visualizing transaction paths in Apple's ARKit for better transparency. Piyush is redefining cross-border payments by merging iOS's seamless UX with SWIFT's reliability and AI's intelligence. These solutions provide faster, cheaper, and more transparent international transactions. As technology evolves, Piyush Chhabra's model could become the gold standard for global payments, bridging the gap between traditional banking and modern fintech innovation. The future of cross-border payments isn't just about speed or cost. It's about seamless integration into daily life. With Piyush's vision, sending money across borders could soon be as easy as sending an iMessage.
