It’s no longer news that AI is changing the way people communicate in the workplace. However, the bad (and less common) news is that AI is making it harder to control these conversations. From chat apps to collaboration tools, employees exchange thousands of messages every day, many of which now pass through AI systems that summarize, analyze, and even respond on their behalf. For companies, this creates a new kind of exposure. That is, intelligent, unstructured, and often unmanaged communication data.
Dima Gutzeit, CEO of business communications platform provider LeapXpert, believes the future of enterprise communications depends on solving this challenge. “AI has made conversations the most valuable data set in an organization,” he said. “But without structure and governance, that value quickly turns into risk.”
Blind spots in corporate communication
For many years, corporate communications have been treated as either static records (emails stored in archives) or ephemeral exchanges that disappear after use. The rise of AI has changed that. Tools like Microsoft’s Copilot and Zoom’s AI Companion interpret tone, context, and intent in real time, turning chat history into searchable knowledge. However, in many enterprises, that same intelligence appears in silos without visibility or control.
“Every company is implementing AI somewhere in their communications stack,” Gutzeit says. “The problem is that very few people have a unified way to manage it across all channels, especially when conversations with clients happen on platforms like WhatsApp and iMessage.”
This lack of oversight has far-reaching real-world implications. According to a 2025 Kiteworks study, 83% of organizations admit that they have limited visibility into how employees are using AI tools in the workplace, and nearly half have already experienced at least one AI-related data incident. The challenge here is not only data loss, but liability as well.
Turn conversations into intelligence
LeapXpert’s platform aims to bridge that gap through what the company calls “communications data intelligence.” The system captures all external client communications from WhatsApp, WeChat, iMessage, and Microsoft Teams and consolidates them into a single managed environment. In this framework, LeapXpert’s proprietary AI engine, Maxen, analyzes messages for sentiment, intent, and compliance signals, maintaining full auditability.
This means that every conversation is responsibly understood. Relationship managers, compliance officers, and legal teams can see the same transparent record of who said what, when, and why. AI can also detect anomalies, flag potential policy violations, and generate summaries for faster review.
“Think of it as bringing context to compliance,” Guzeit says. “Our goal is not to replace human communication, but to make it smarter, safer and more responsible.”
real world results
LeapXpert backs up its claims about communications data intelligence concepts with customer proofs from the field. In one such case, a North American investment management firm operating under the supervision of the SEC and FINRA recently implemented the LeapXpert platform to integrate its messaging systems. Prior to implementation, the compliance team manually sampled conversations from several archives. This process took many hours each day.
However, after integrating LeapXpert’s platform, all communications were consolidated into a single auditable system, reducing manual review time by 65% and improving audit response times from days to hours. More importantly, the company can now understand emerging conduct risks in real-time while employees continue to use customers’ preferred communication channels.
Guzeit said these results highlight a growing reality in the industry: regulated companies can no longer afford to separate innovation from compliance. “They have to get their act together,” he said.
Governing communication in the age of AI
The rise of AI capabilities embedded in everyday tools has added to the urgency. Platforms like Slack, Salesforce, and Microsoft Teams now include generation assistants that summarize messages and recommend actions. Features that may automatically process sensitive data. Without clear governance, these capabilities can pose the same risks that external tools once posed.
That’s where LeapXpert’s architecture stands out, Gutzeit said. The platform runs on a Zero Trust framework and encrypts all messages in transit and at rest. Customers retain full data ownership with Bring-Your-Own Key encryption, while AI operations run in a secure, isolated environment. “Our system is built to allow businesses to reap the benefits of AI without giving up control of their data,” Gutzeit said.
The road ahead
As AI continues to penetrate corporate communications, Gutzeit expects governance to evolve from a defensive measure to a source of business intelligence. “We are entering a stage where AI is not just recording communications, but understanding them,” he said. “This means both compliance officers and business leaders can derive value from the same data set.”
Gutzeit also believes this is the next logical step in the evolution of corporate communications. “AI is transformative only if it is trusted,” he said. “Transparency, auditability, and context make it possible.”
For companies navigating the tension between innovation and oversight, LeapXpert offers AI recommendations that listen, understand, and keep you accountable.
Image source: Unsplash
