AudioCodes has launched its new Meeting Insights On-Prem solution for secure collaboration in the age of AI.
Meeting Insights On-Prem (MIA OP) is an AI-driven enterprise solution intended to revolutionise how organisations capture, manage, and extract value from meetings within a highly secure, on-prem environment.
Designed for industries with strict privacy and compliance mandates, such as government, defence, finance, and healthcare, MIA OP delivers robust data protection and enterprise-grade security, ensuring complete alignment with regulatory standards and internal governance policies.
Shabtai Adlersberg, CEO of AudioCodes, said:
We believe that Meeting Insights On-Prem will revolutionise the way organisations in highly regulated and security-sensitive sectors record and summarise meetings. Combining the power of generative AI and AudioCodes’ expertise in voice processing technologies and automation, this robust and highly secure solution allows organisations to boost productivity and create accurate meeting summaries, leading to better informed decisions and actionable insights, without compromising on data security or regulatory compliance.”
MIA OP currently supports English and Hebrew, with plans to expand language availability in the second half of 2025. The solution has already seen real-world deployment, with customer installations completed in the first quarter of 2025.
More Specifics On Meeting Insights On-Prem’s Feature Set
As a member of the AudioCodes Meeting Insights portfolio, the vendor asserts that MIA OP equips organisations with a secure, centralised platform to capture, organise, and retain every essential meeting detail, without reliance on cloud infrastructure. Designed for full-on-premises deployment, the solution leverages advanced generative AI to produce accurate transcriptions, concise summaries, and actionable insights quickly and precisely.
MIA OP allows extensive customisation, including user-defined terminology dictionaries to enhance transcription accuracy. AudioCodes highlights features such as automatic speaker separation, contextual punctuation, and real-time editing tools, further elevating documentation quality. The company adds that users can instantly refine transcripts and summaries, ensuring outputs meet the highest standards.
To streamline post-meeting workflows, MIA OP includes a built-in task management module that automates the distribution of meeting summaries and facilitates easy assignment and tracking of follow-up actions.
AudioCodes says the platform also supports hybrid and remote participation via telephony, thanks to the company’s voice connectivity solutions. It integrates seamlessly with leading UC and CX systems. It can also be deployed in conjunction with AudioCodes’ Interaction Insights for compliant call recording, aiming to ensure all voice comms are securely captured and stored in accordance with industry regulations.
AudioCodes Voca CIC Now Supports Microsoft Teams Phone Extensibility
In March, AudioCodes expanded the capabilities of its AI-driven Voca Conversational Interaction Center (CIC) with support for Microsoft Teams Phone extensibility. This new integration leverages Azure Communication Services to bridge the gap between CCaaS platforms and Teams environments effectively.
By aligning with Microsoft’s standardised provisioning framework, AudioCodes enables IT and UC leaders to streamline deployment, boost reliability, and simplify ongoing comms infrastructure management. This update empowers organisations to integrate their contact centre operations more tightly with Teams Phone, reducing complexity while maintaining enterprise-grade performance, including 99.999 percent uptime.
With Voca CIC’s AI-first architecture, AudioCodes stresses that businesses can unlock intelligent call routing, in-depth real-time insights, and robust analytics, all built on Microsoft’s extensibility model. The result is pitched as a tightly integrated, resilient solution that supports evolving hybrid work demands and enhances the customer and agent experience across every interaction.
