More reliability in payment services with Generative AI
How Liquid Reply collaborates with Nexi to strengthen the efficiency and reliability of payment services through AI, enhancing anomaly prevention and improving operational continuity.
,allowExpansion)
The challenge
Minimise the impact of disruptions in systems that manage digital payments by improving proactive identification and anticipating problems.
Scenario
Ensuring the reliability of transactional systems
Nexi, a leader in digital payments, manages millions of transactions in real time, looking out for security and reliability. In an industry where any disruption can compromise the customer experience and trust in the brand, Nexi is constantly committed to ensuring ever higher standards, intervening with dedicated teams to minimise the impact of anomalies on production infrastructures and ensure impeccable service.
From a perspective of continuous improvement, the company was looking for a solution that would significantly enhance the proactive identification of potential anomalies, overcoming the limitations of predictive machine learning algorithms and traditional monitoring tools, thus providing the team with the necessary evidence to intervene promptly.
the solution
Automated pre-analysis with AI for immediate insights
To tackle this challenge, Nexi and Liquid Reply have combined their expertise to develop a troubleshooting solution based on AI agents. These agents are designed to autonomously access technological platforms and analyse large volumes of data in real-time, coming from application metrics, dashboards, and support tickets. Their goal is to facilitate the rapid identification of the causes of anomalies, transforming the diagnostic process into a highly efficient and automated workflow.
In addition to identifying issues, the agents leverage Generative AI to produce detailed analyses and provide concrete suggestions to the team, thus helping to resolve anomalies and improve service reliability.
The benefits
A faster and more efficient incident management
The results, obtained from a group of pilot applications, have demonstrated the potential of the technology in strengthening operational resilience.
The automation of analysis processes has highlighted how it is possible to improve efficiency in diagnosis and incident resolution, opening new perspectives for interventions which are more efficient and effective.
Over 500 alerts analyzed
in the first 6 months
80% accuracy
compared to manual analyses
5 minutes for the initial analysis
of a problem
Nexi S.p.A. is an Italian company with a strong presence in over 25 countries, offering innovative, secure, and simple solutions for payment management, supporting individuals, businesses, and financial institutions. Its offerings include payment solutions for card acceptance, e-commerce, multichannel payments, and automation services, contributing to the transition towards a cashless Europe. Nexi is committed to promoting digitalization in a sustainable and responsible manner, with a focus on innovation, security, and the well-being of individuals and businesses.
Liquid Reply is the company of the Reply Group specialized in defining Hybrid and Multicloud strategies and architectures, as well as in applying GenAI solutions to non-functional requirements. It focuses on designing, accelerating, and managing the "cloud journey," reducing the risks associated with cloud adoption and optimizing operations, processes, and costs. It concentrates on the design of hybrid and multi-cloud solutions and architectures, on infrastructure automation, on modernizing applications, on developing platforms for microservices, and containerized solutions. Furthermore, it is at the forefront of applying security to cloud solutions and adopting observability to ensure secure, high-performing, reliable, and cloud provider-agnostic environments.
Liquid Reply supports companies in transforming and improving their infrastructure and applications, guiding them through a continuous transformation process that involves frequent technological choices and related adoptions, an adequate response to business needs, as well as constant operational and cost optimization.