Egypt-based financial technology company valU has announced a new partnership with customer experience technology firm Tactful AI to integrate advanced artificial intelligence-based engagement tools across its digital platforms. The collaboration aims to create a more unified and responsive customer journey for the BNPL leader.
Unifying the Customer Journey
As part of the strategic partnership, valU will leverage Tactful AI’s platform to centralize customer interactions from its diverse digital touchpoints. This includes integrating communications across WhatsApp, the official website, its mobile application, and various social media channels into a single, cohesive system.
The integration is designed to enhance customer support by automating engagement, significantly improving response times, and ensuring consistent communication regardless of the platform a customer chooses to use, while still allowing for human agent involvement when necessary.
Leveraging AI for Enhanced Engagement
The Tactful AI platform will provide valU with powerful insights into customer interactions. This data-driven approach will enable the FinTech firm to monitor engagement patterns in real-time, identify and reduce operational inefficiencies, and dynamically adjust customer journeys based on analytics.
Tactful AI’s solution combines real-time conversational analytics, AI-powered engagement tools, and a no-code automation studio. This technology will empower valU to manage customer interactions and operational workflows more effectively, leading to a superior overall customer experience.
About valU
valU is a leading financial technology company based in Egypt, providing buy-now, pay-later (BNPL) solutions and other innovative financial services to a broad customer base across the region.
About Tactful AI
Founded in Egypt, Tactful AI is a customer experience technology company with operations across the Middle East, Africa, the UK, and Europe. Its unified platform provides organizations with the tools to manage and automate customer interactions and operational workflows more effectively through AI and data analytics.
Source: Zawya
