Reply’s insurance experts share their vision of the industry’s evolution, driven by technological innovation and global macro-trends.
Our mission is to transform the discontinuity generated by the technology evolution. We turn regulations and new behaviours into sustainable opportunities for our clients.
Reply’s insurance experts share their vision of the industry’s evolution, driven by technological innovation and global macro-trends.
We conducted a survey to understand how Financial Advisors expect Generative AI to impact their roles, with a focus on their daily activities, technology use, and future expectations.
Cetif-Università Cattolica and Reply announce the launch of the GenAI@work LAB, an initiative dedicated to the development and monitoring of GenAI algorithms in the financial sector.
The Reply solution combines advanced reporting, robot process automation and Generative AI, to improve the sustainability and efficiency of Procurement processes.
How to support AI-driven innovation in business and operations by adopting a reliable and scalable architecture.
This report offers a comprehensive view of the dynamic cloud adoption landscape in the financial services sector, focusing on key aspects such as cloud strategy, governance, regulation, and data.
Reply supported the Generali Group in implementing a solution for monitoring key global procurement information.
As more industries embrace platformisation as a growth strategy, Reply invites you to learn how to implement a high-performance operating model that unlocks the full potential of APIs.
Discover the Art Of Change Management and how to support your organisation navigate its transformation.
A luxury automotive leader is adopting innovative ESG strategies to redefine its sustainability standards.
In the era of transparency and the growing expectation of stakeholders, companies are facing the challenge of compliance and innovation. In this context, Reply Consulting guides organisations towards integrated sustainability capable of generating value.
Boosting software developer efficiency through AI-powered agents and contextual knowledge.