It’s no secret that artificial intelligence is transforming how we communicate at work. The challenge, however, is that AI’s growing role in everyday tools—chat apps, messaging platforms, and virtual assistants—has created a new kind of exposure. Employees exchange thousands of messages daily, many now processed or generated by AI, and enterprises are struggling to maintain structure and oversight in this new landscape.
Dima Gutzeit, CEO of enterprise communications platform LeapXpert, believes the future of corporate messaging lies in solving this exact problem. “AI has made conversation the most valuable dataset inside organisations,” he said. “But without structure and governance, that value quickly turns into risk.”
The Hidden Blind Spot in Enterprise Communication
For years, internal and external business communications were treated as either static records—like archived emails—or transient exchanges that vanished once read. But as AI becomes more deeply embedded, tools such as Microsoft Copilot and Zoom’s AI Companion are now interpreting tone, intent, and context in real time. This evolution has turned chat histories into searchable knowledge bases—but also fragmented sources of sensitive data.
“Every enterprise is adopting AI somewhere in its communication stack,” Gutzeit said. “The problem is that few have a unified way to manage it across all channels, especially when client conversations happen on consumer apps like WhatsApp or iMessage.”
The result? Limited visibility, compliance gaps, and accountability risks. A 2025 Kiteworks survey revealed that 83% of organisations admit they lack full visibility into how AI tools are used in employee communications, while nearly half have already faced at least one AI-related data incident.
Turning Conversations Into Actionable Intelligence
LeapXpert’s platform tackles this issue through what it calls Communication Data Intelligence. The system consolidates messages from multiple platforms—WhatsApp, WeChat, iMessage, Microsoft Teams—into a single, governed environment. Its AI engine, Maxen, analyses messages for sentiment, intent, and compliance signals while maintaining full auditability.
The result is a transparent communication ecosystem. Compliance teams, legal departments, and relationship managers can all view the same record of what was said, when, and why. The AI identifies anomalies, flags potential violations, and generates summaries to streamline oversight.
“Think of it as bringing context to compliance,” Gutzeit said. “Our goal is not to replace human communication, but to make it smarter, safer, and accountable.”
Real-World Results
One North American investment management firm recently implemented LeapXpert to streamline communications under SEC and FINRA regulations. Before using the platform, compliance officers manually sampled messages from several archives—a slow, error-prone process.
After adoption, the company reduced manual review time by 65%, improved audit response times from days to hours, and gained real-time visibility into emerging risks—all while letting employees use the client-facing apps they preferred.
Gutzeit says this example illustrates a growing reality: “In regulated industries, innovation and compliance can no longer operate separately—they must evolve together.”
Governing Communication in the AI Era
The rapid integration of AI into tools like Slack, Salesforce, and Microsoft Teams adds new urgency to governance. Generative assistants that summarise or recommend responses might inadvertently process sensitive or regulated data.
LeapXpert differentiates itself through a zero-trust architecture. Every message is encrypted in transit and at rest, and customers maintain full data ownership using bring-your-own-key encryption. AI models operate in secure, isolated environments—ensuring enterprises can leverage AI insights without losing control of their information.
“Our systems are built so enterprises can benefit from AI without surrendering control of their data,” Gutzeit said.
The Future of AI-Governed Communication
As AI becomes more embedded in corporate communication, Gutzeit envisions governance transforming from a defensive necessity into a source of business intelligence. “We’re entering a phase where AI will understand communication, not just record it,” he said. “That means compliance officers and executives can both derive value from the same dataset.”
In his view, trust will define the next era of enterprise communication. “AI will only be transformative if it’s trusted,” Gutzeit added. “Transparency, auditability, and context are what make that possible.”
For businesses walking the tightrope between innovation and oversight, LeapXpert offers a vision of AI that listens, understands, and remains accountable.
