Smile.CX to showcase its applied AI architecture at Madrid Tech Show 2025 - Covisian

Madrid, October 15, 2025 — Smile.CX, the cloud-native application platform focused on AI-powered orchestration, has confi rmed its participation in the upcoming Madrid Tech Show 2025 at IFEMA, one of the leading European events for enterprise technology and digital infrastructure.
The company will be present at the event with a dedicated booth, where it will present its capabilities in intelligent contact management, operational orchestration, and live governance of customer experience (CX) systems under pressure. Smile.CX positions itself as a decision layer, not a bot framework, engineered for dynamic operations where compliance, scalability, and real-time adaptability are non-negotiable.
As customer interactions continue to fragment across channels and demand fl uctuates unpredictably, enterprises face increasing pressure to reduce complexity without losing control. Smile.CX addresses this by enabling companies to integrate AI into their operational stack without rearchitecting core systems, offering a fl exible, modular platform designed to operate in production, not just in pilots.

Featured session at E-SHOW: Applied AI at the infrastructure level

On Wednesday, October 29, from 16:30 to 16:50, Smile.CX will participate in the offi cial conference program of E-SHOW, within the Future of Commerce Theatre. The session will be delivered by Fabio Sattolo, titled:

“Architecture, Integration, and Measurable Operational Impact: The Power of Applied AI”

The presentation will explore how Smile.CX’s proprietary architecture enables the orchestration of AI, agents, and business logic in real time. It will cover the technical foundations behind a scalable CX stack that integrates with existing ecosystems and adapts to complex operational constraints without compromising traceability, SLA compliance, or human oversight.
Rather than focusing on automation as a goal in itself, the session will illustrate how applied AI becomes an enabler for measurable outcomes, allowing organizations to detect CX risk signals early, rebalance service loads dynamically, and convert every interaction into operational intelligence.