Smart Contact in Action: AI in Communications, a Field of Innovation for Integrators

By Bertand Pourcelot, DG Enreach SAS

Artificial intelligence has gradually made its way into professional tools, but its adoption by SMEs follows different dynamics compared to large enterprises. SMEs do not have the resources to conduct multiple experiments. Instead, they seek to integrate proven automation capabilities into work environments constrained by time, resources, and available skills.

Communication tools represent one of the most natural entry points for AI. Customer interactions—phone calls, information requests, appointment scheduling, or request tracking— represent a significant portion of SMEs’ day-to-day activities. Automating some of these tasks not only improves customer service availability but also frees up time for teams, allowing them to focus on higher-value interactions.

Voice plays an important role here. Unlike other digital interfaces, it requires neither specific training nor changes in user habits. It remains the most direct channel for a large share of professional exchanges. Integrating AI into voice communications opens the door to new services: automated call qualification, instant responses to common requests, handling interactions outside business hours, and dynamic routing to the right contacts.

However, voice also holds an often-underestimated dimension. For a long time, phone communications were treated as a simple pipeline: a channel for exchange with no intrinsic analytical value, poorly integrated with other company systems (often referred to as a silo), and whose content disappeared once the conversation ended. Artificial intelligence fundamentally changes this equation. By analysing voice interactions, it reveals what conversations truly contain: who makes decisions, who reports to whom, and what signals of satisfaction or friction are present.

For SMEs, this represents a major shift. Incoming calls are no longer just requests to handle, they become a structured source of information about customer relationships, recurring contact reasons, friction points, and untapped business opportunities. AI transforms voice into an asset, provided the data generated is accessible, understandable, and directly usable by teams without specialised analytical skills.

For technology partners and integrators, this evolution also represents a strategic opportunity. AI applied to communications becomes an informational layer connected to business applications. It provides a foundation for developing services tailored to different sectors: retail, services, healthcare, public sector, and professional services. As a result, partners gain a field of innovation to design business applications and enhance their service offerings.

However, the challenge is to avoid the excessive complexity that sometimes characterises AI projects. SMEs are primarily looking for immediately operational solutions that can integrate into their existing environments without requiring heavy infrastructure or specialised expertise. AI must function as a natural extension of existing communication tools.

In this context, the evolution of communication platforms toward open environments, capable of integrating AI components and leveraging partner ecosystems, is a key factor for adoption. It enables the transformation of interest in AI into services that businesses can directly use.

SMEs expect powerful technology that is simple to use. This is the founding principle of Smart Contact: making professional communications smarter, more contextual, and more natural. Smart Contact combines voice, unified communications, mobility, connectivity, and business process integration, with AI as a catalyst for improvement. The goal is clear: to deliver advanced functionalities within an intuitive, familiar, and immediately operational user experience.

The future of AI in SMEs will depend less on the sophistication of technologies than on their ability to fit into everyday usage. AI is becoming a pragmatic tool: a way to improve operational efficiency, enhance customer relationship quality, and support digital transformation at an accessible scale.

Biography of Bertrand Pourcelot

A recognised expert in enterprise telecommunications, Bertrand Pourcelot is CEO of Enreach SAS and President of the CDRT. He has deep expertise in telecommunications, cloud computing, and software engineering, both in France and internationally. His career includes roles as a technical manager and project manager in the aerospace sector, as well as several leadership positions at Centile Telecom Applications and Enreach, where he played a key role in developing cloud communication solutions for businesses.

Bertrand has an impressive academic background. He is an engineering graduate in Electronic Systems from Enserg (INPG), holds a postgraduate degree (DEA) in cognitive sciences, and completed further specialisation in computer science, automation, and project management at Mines ParisTech. He has developed a strong strategic and operational vision in the telecommunications sector. His leadership focuses on accelerating companies’ digital transformation in a rapidly evolving environment shaped by major waves of innovation (VoIP, Cloud, Mobile, Convergence, AI).