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Why Prompt-Based App Builders Won’t Disrupt Fintech, But AI-Ready Platforms Will

Tools like Lovable empower anyone with a browser to spin up a working fintech app in a weekend. These prompt-based app generation platforms have dramatically accelerated prototyping and made experimentation cheaper. For startups and product teams, this is excellent news; they can now quickly visualise ideas and avoid expensive software engagements for non-critical tooling.

But these tools are not the future of fintech development. When it comes to building regulated, reliable and secure financial products, they create a shaky foundation for long-term growth. AI-ready platforms enable quick product creation, reduce back-office workloads and provide a solid base for the adoption of future AI advancements.

Fintechs are complex

Building a fintech involves much more than generating a passable UI and a functional database. Fintech application ideation and development is notoriously complex; the industry was born to combine these efforts in a third-party provider and avoid expensive custom-building within institutions. 

Prompt-based app generation tools cannot embed detailed financial logic into systems that work in the real world, at scale. Most industry outsiders underestimate what it takes to go from an idea to a production-grade platform. A real fintech combines deep mapping of interconnected products and platforms with compliance-sensitive processes. Institutions require ongoing access to a library of integrations to support onboarding, KYC, and payment networks, as well as other mission-critical connections. App generation tools simply cannot support this level of product development.

Ever-shifting data protection frameworks like ISO20022 and GDPR, and continuous cyber resilience from penetration testing to ethical hacking, require long-term investments in staff and systems. These aren’t capabilities you can hack together with a nice UI and a large language model.

AI-powered fintech infrastructure

That said, the rise of prompt-generated applications points to new, AI-powered capabilities for fintech product development. Successful implementations won’t rely on app generators; they will be the fintech infrastructure providers that offer AI-native, data-driven platforms designed for adaptability, speed and regulatory-grade resilience.

Forward-looking banks and insurers should focus on partners with a strong data core, embedded AI/ML/agent orchestration capabilities, and back-office operations automation. This is where fundamental transformation happens, not in cobbling together MVPs, but in deploying modular, intelligent and scalable platforms that let institutions build and evolve faster without sacrificing security or trust.

Building a competitive edge

The fintech industry was not born from demand for quick fixes to long-term development. It was about rebuilding the core. By making complex infrastructure a commodity, fintechs unlock speed, agility and personalisation for banks and insurers. That mission hasn’t changed. What’s changing now is the toolkit.

Prompt-based app builders are great for testing. But they’re not where you should stake your digital transformation strategy. If you're serious about scaling AI across your existing infrastructure, partner with fintechs built for it. With generative and agentic capabilities available throughout their platform, fintechs support rapid product creation, personalised customer experiences and back-office automation. 

Building with AI-powered platforms is a business enabler for banks and insurers. However, if they are tempted by in-house app generation in place of proven, purpose-built platforms, institutions will risk compliance shortfalls, gaps in infrastructure and disjointed customer journeys. With the right partners, institutions are expanding into new markets and business models that weren’t possible before, launching new product lines in months instead of years. 

 

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This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.

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