Key Takeaways

  • Orange Business introduced branded calling, deepfake detection, and AI-enhanced telephony to improve enterprise communication security and efficiency
  • The company integrated generative AI into contact center workflows to automate customer interactions and support human agents in real time
  • A co-innovation initiative with Microsoft focuses on bringing agentic AI to telephony through Microsoft 365 Copilot in Teams

Orange Business is pushing forward with a wide set of changes to modernize enterprise voice and digital communication, centering the effort on trust, authenticity, and AI-powered automation. It is a notable move at a time when enterprises are struggling with everything from impersonation fraud to overworked call center staff. The company argues that voice still matters, even in an era where chat, apps, and automation keep multiplying. That said, voice has also become harder to trust, which is a tension that sits underneath the entire announcement.

The first part of the shift focuses on branded calling, a capability Orange Business plans to roll out in France and the United States, with Europe following. The feature lets enterprises display their name, logo, and call purpose directly on a phone's screen. That might sound simple, but it addresses a persistent problem of customers ignoring unknown numbers. If enterprises can signal legitimacy, call pickup rates should rise. Some carriers and vendors have been exploring similar approaches, yet Orange Business is making it a core layer of enterprise communications rather than a bolt-on. It prompts the question: will this become a default expectation for any trusted phone interaction?

Then comes deepfake detection. As synthetic audio and video tools grow, fraud risks grow with them. Orange Business is partnering with companies like Sensity and Reality Defender to detect manipulated audio, images, video, and documents. These capabilities are being embedded directly into existing collaboration and customer experience portfolios. It feels like a defensive requirement more than a differentiator, but that is the reality of 2025-era communication challenges. Enterprises needed this yesterday, and the threat curve is only rising.

Another area receiving attention is customer service automation through Intelligent Together, the company's approach to AI-augmented customer care. By placing generative AI directly inside contact center and CRM environments, Orange Business hopes to automate full customer interaction flows, from intake to resolution. The company says it managed 80 million AI conversations in 2025, and while that number is large, the real story is the attempt to keep humans in the loop. Agents receive transcription, sentiment analysis, recommendations, and post-call documentation assistance in real time. The intent is not only faster resolutions but lower cognitive load on agents who often juggle multiple systems. It is also notable that these capabilities run on the Orange Business AI platform, Live Intelligence.

On a different track, the company is bringing agentic AI to telephony. Agentic AI refers to systems that can understand context, decide on next steps, and manage interactions with a degree of autonomy. Within cloud telephony, this means calls that can route themselves, answer basic questions, and escalate when needed. Orange Business describes it as an intelligent layer that improves outcomes for both sides of the call. Faster response times, more personalization, and lower operating costs are the promised benefits. A co-innovation effort with Microsoft centers on how Microsoft 365 Copilot agents in Teams, including Interpreter, can make Microsoft Teams Phone operate more intelligently. Orange Business also plans to bring agentic telephony to Cisco Webex, signaling a vendor-neutral approach.

Not everything sits within the voice stack. The company also referenced additional initiatives, including Live Collaboration, its sovereign cloud-based collaboration suite meant to avoid vendor lock-in by combining messaging, calendars, document sharing, video conferencing, and intranet tools under a single platform. This fits a broader industry pattern where enterprises are looking for modular, privacy-conscious collaboration environments rather than sprawling toolsets that come with complex data residency concerns. For many European organizations, sovereignty matters, sometimes more than the toolset itself.

Orange Business is also extending Live Intelligence to support trusted AI agents that can be developed, deployed, and managed inside a secure infrastructure. These agents aim to perform more complex tasks than basic chat-based assistants. While the release did not list specific use cases, the positioning hints at workflow automation, decision support, and structured enterprise processes. A similar movement is happening across the AI industry as organizations lean into agent-based architectures that can handle multi-step tasks rather than single question answers.

Across all these pieces, trust is the recurring theme. Usman Javaid, Chief Product and Marketing Officer at Orange Business, framed trust as a scarce currency in digital communication, particularly when attackers replicate voices and images with minimal effort. The company's strategy attempts to layer authenticity, security, and automation in a way that lets enterprises adopt AI without widening their risk surface. Some parts of the strategy will likely evolve quickly, especially deepfake detection, which is racing against a fast-moving threat landscape.

Even with so many moving components, the overall direction is straightforward. Orange Business wants to redefine enterprise communication around verifiable identity, AI-assisted interactions, and resilient collaboration infrastructure. It is a big promise, but with customer expectations rising and fraud tactics advancing, the timing aligns with what many IT and CX leaders are already worrying about.