Money20/20: Pismo & Rethinking Modern Payment Infrastructure
Pismo is at the centre of a structural shift in payments infrastructure, with financial institutions moving from batch processing to real-time, data-driven systems.
Speaking with FinTech Magazine at Money20/20, SVP and General Manager Leo Collado outlined how the company’s cloud-native, API-based platform is designed to help banks and fintechs modernise both core banking and payments capabilities at scale.
At its core, Pismo’s proposition is in response to a broader industry transition: payments have moved from back-office processes to real-time decision points that influence customer trust and revenue.
“Payments have become a real-time decision that drives revenue and trust,” Leo explains, “and client demands are changing.
“One thing is they want everything on-demand – immediacy, reliability, right now. The other is personalisation.”
Leo argues that these expectations fundamentally reshape infrastructure requirements.
Legacy systems built for batch processing struggle to deliver the immediacy and contextual intelligence now expected by consumers.
“What that means in the world of infrastructure is that you have to be able to go from batch-based processing to real-time processing, which is what Pismo does,” he adds.
“Then you think about contextual personalisation, it requires a lot of data – churning of the data and AI algorithms – that legacy infrastructures were not designed to manage and handle.”
This shift underpins the make-up of Pismo’s architecture, which is designed to support continuous data streaming and real-time processing across banking and payments use cases.
Webinar: Learn How Coupa & Rossum Transform Spend with AI
As organisations scale quickly, finance, procurement and IT functions risk becoming entangled in disconnected systems.
This challenge is intensified by manual processes, siloed operations and limited visibility over spend.
Together, these issues can lead to delayed payments, recurring errors and reduced control over budgets.
The problem deepens as technology stacks expand. With businesses increasingly adopting specialised tools across finance, procurement and IT, data is often dispersed across multiple platforms – creating what is commonly known as "tool sprawl".
This fragmentation not only obscures spend visibility but also drives shadow spend, duplicated subscriptions and time-consuming reconciliation processes.
For leaders aiming to improve agility, the focus has shifted beyond simple digitisation towards integrating systems, teams and data into a cohesive operating model.
To explore this further, Coupa and Rossum are hosting an exclusive webinar, The Global Accounts Payable Blueprint: Eliminating Fragmentation for Real-Time Visibility, taking place on 17 June from 10:00am to 11:00am BST.
AI is Finance’s Top Growth Lever, According to Lloyds Survey
In its tenth annual survey, Lloyds Bank has found that technology is a clear area of strength,
More than 100 senior executives from the UK’s largest financial services institutions were called on for the report, with these leaders showcasing a renewed confidence in its future growth.
The study was conducted between April and March by Lloyds, which supports 27 million customers across both retail and commercial financial services.
Findings show that 94% of respondents – spanning asset and wealth managers, insurers, financial sponsors and banks – anticipate business growth over the next decade.
This marks a notable increase from the 2025 survey, where 81% expressed the same outlook.
Short-term projections have also strengthened year-on-year, with five-year growth expectations rising from 83% to 92%, and 12-month forecasts climbing from 54% to 67%.
Visa and Equals Research Shows Embedded Finance Service Gaps
Service shortcomings among embedded finance providers are constraining growth and leading to preventable revenue leakage, according to new research from Equals and Visa Consulting & Analytics.
The report draws on insights from more than 150 senior executives and decision-makers spanning banks, fintech firms, trading platforms and digital asset exchanges across the UK and Western Europe, highlighting a disconnect between how organisations select payments partners and the factors that underpin long-term value, trust and scalability.
McKinsey estimates that embedded finance in Europe will exceed €100bn (US$115.9bn) by the end of the decade.
However, the findings indicate that operational inefficiencies are hindering momentum.
In total, 45% of respondents report that service and support challenges have limited their ability to capture full business value, while 82% acknowledge that providers are instrumental in enabling successful scaling.
How HSBC & Google Cloud are Scaling AI Across Global Banking
HSBC is set to embed AI more deeply into its global operations.
The UK-based banking group has entered a strategic partnership with Google Cloud to roll out AI capabilities across its international business, with an initial emphasis on three core areas: personalised wealth management services, financial crime risk management and AI-driven decision support for frontline employees.
Under the multi-year agreement, teams from both organisations will collaborate to develop advanced AI tools aimed at improving the personalisation of HSBC’s operations.
The bank anticipates that the initiative will enable more than 200 new AI use cases within the next two years.
The partnership will also involve engineering teams from Google Cloud and Google DeepMind, giving HSBC access to Google’s latest agentic technologies, including Gemini models and the Gemini Enterprise Agent Platform.
“Our partnership with HSBC is a blueprint for the future of the financial services industry," says Thomas Kurian, CEO of Google Cloud.
“By accelerating AI adoption built with Gemini, our Gemini Enterprise Agent Platform, forward-deployed engineers and Google DeepMind’s research expertise, HSBC is building a more intelligent, resilient and responsive bank that can create meaningful value for its customers.”
