In the fast-paced world of fintech, products are often judged by what customers see: instant payments, clean design, seamless onboarding. Yet behind these user-facing features lies an invisible backbone of operations—compliance checks, data verification, legal processing—that determines whether innovation can scale. Increasingly, artificial intelligence has become less of a headline-grabber and more of a quiet partner, reinforcing the foundations that make trusted services possible.
At Vesti, a migration fintech that supports individuals navigating both financial and legal processes, growth has brought opportunity and challenge in equal measure. As our user base expanded, so did the complexity of regulatory requirements, customer documentation, and support needs. Manual processes that once worked for a few thousand customers quickly became bottlenecks. We needed a way to manage heavy data loads without sacrificing accuracy or slowing down service delivery.
That was the starting point for building Zyra, an AI-powered paralegal assistant I led my team to develop. Zyra automates many of the repetitive, documentation-heavy tasks that previously consumed hours of human effort—verifying compliance information, pre-checking legal forms, and surfacing potential issues before they reached our legal officers. Far from replacing people, the tool gave our legal and operations staff more bandwidth to handle complex cases with nuance and empathy.
This approach reflects a broader trend. The World Economic Forum’s 2023 Future of Jobs Report estimates that nearly 43% of tasks in financial services could be automated by 2027, with an additional share augmented by AI rather than fully replaced. Our experience confirms this: automating internal processes has not only improved efficiency but also strengthened reliability, a critical factor in maintaining user trust.
The belief that AI should empower rather than displace people also shaped my participation in the 2025 Coven AI Hackathon for Social Impact, where my team placed third. We built a solution that analysed multilingual health communication data to bridge language barriers between doctors and patients—an example of AI applied to deeply human problems. The experience reinforced a principle we carry into our work at Vesti: technology is most transformative when it amplifies human capacity.
When used strategically, AI doesn’t simply accelerate operations; it reinforces trust, frees teams from repetitive strain, and allows organisations to focus on the human dimensions of service—whether that is guiding a migrant through legal paperwork or supporting them in financial decision-making.
The future of fintech will not be defined only by flashy new apps, but by the resilience and intelligence of the systems that sustain them. Intelligent automation, quietly working behind the scenes, is proving to be one of the most important enablers of that future.
Adewale Adeosun, Mobile Lead Software Engineer at Vesti, writes from Lagos.
