Fintechs advised to build AI systems that detect failure

Fintech companies must design predictive, intelligent infrastructures capable of anticipating failures before they occur, as customer expectations for seamless digital transactions continue to rise, a technology expert has said.

Site reliability engineering expert, Oreoluwa Omoike, said in a statement shared on Saturday with The PUNCH that the rapid expansion of fintech services demands systems that evolve, adapt and recover under pressure.

“Reliability is not just about working systems, but about evolving, adapting and recovering systems,” she said.

Omoike, who integrates automation, observability and predictive intelligence into fintech environments, noted that modern platforms must detect anomalies early, self-heal and scale smoothly as demand fluctuates.

“Incorporating automation and predictive intelligence allows systems to detect anomalies, self-heal and scale seamlessly as demand peaks,” she said. “In fintech, reliability is not a luxury but the foundation of trust.”

She stressed that the public’s insistence on near-perfection when handling money should push fintech operators to rethink how resilient systems are built.

According to her, cloud-native designs, microservices and automated orchestration provide the scalability and fault resistance required to maintain continuity during unpredictable loads.

Omoike said automation should be viewed as an enabler of human creativity, freeing teams from manual troubleshooting.

“At the core of my vision for the future is fintech dependability, powered by AI-based resilience that detects anomalies before they happen and reacts in real time to keep systems uncompromised,” she said.

She added that reliability must be treated as an innovation strategy rather than a maintenance function, strengthening the trust architecture of the digital economy.