GLG, a global platform connecting organizations with expert knowledge, has expanded its AI-Moderated Calls offering to support autonomous expert interviews in 10 languages. The enhanced platform introduces an agentic AI moderator capable of conducting structured research conversations, following discussion guides, collecting qualitative and quantitative insights, and generating actionable summaries. The launch reflects the growing adoption of AI agents in enterprise research, where organizations are seeking faster access to expert intelligence without compromising compliance, transparency, or analytical depth.
Enterprise research is increasingly being reshaped by agentic AI, with organizations looking beyond generative AI assistants toward systems capable of independently conducting complex knowledge-gathering tasks. In its latest product expansion, GLG (Gerson Lehrman Group) has enhanced its AI-Moderated Calls platform, enabling autonomous expert interviews across 10 global languages while maintaining the compliance standards expected in regulated research environments.
The announcement highlights a broader shift in enterprise AI adoption, where intelligent agents are moving beyond content generation into workflow execution. Rather than simply assisting researchers, GLG’s AI Moderator is designed to conduct structured interviews independently, guiding conversations, probing for deeper insights, and collecting both qualitative and quantitative research data.
According to the company, the enhanced AI Moderator emulates the role of an experienced human researcher by following predefined discussion guides while adapting dynamically to expert responses. The system can ask follow-up questions, clarify complex topics, and maintain conversational flow without deviating from research objectives.
The platform also introduces support for structured survey methodologies within live conversations. Clients can embed multiple-choice, matrix, and rating-scale questions directly into interviews, allowing quantitative responses to be exported automatically into spreadsheet formats for downstream analysis. This combination of conversational AI and structured data collection aims to reduce manual processing while accelerating research timelines.
One of the platform’s distinguishing features is its ability to eliminate scheduling bottlenecks. Because interviews are conducted autonomously, multiple expert conversations can take place simultaneously across different regions and time zones without requiring researchers to coordinate calendars. Experts can participate whenever convenient, potentially improving access to highly specialized professionals who are often difficult to schedule.
Following each session, AI-generated transcripts can be synthesized with a single action to identify recurring themes, insights, and recommendations. GLG says all findings remain fully traceable to individual experts and timestamped interactions, supporting transparency and auditability throughout the research process.
The latest expansion supports interviews in English, Spanish, French, Italian, Portuguese, German, Russian, Japanese, Korean, and Mandarin, reflecting increasing enterprise demand for multilingual AI systems capable of supporting global market research and cross-border business intelligence initiatives.
The launch also illustrates the growing maturity of agentic AI, a category focused on autonomous systems capable of planning, reasoning, and completing multi-step business processes. Unlike conventional chatbots that respond to prompts, agentic AI platforms increasingly operate as digital collaborators capable of executing complex workflows with minimal human intervention.
Enterprise technology providers are investing heavily in this emerging category. Microsoft continues to expand its Copilot ecosystem with AI agents integrated across Microsoft 365 and Azure. Google is advancing enterprise AI capabilities through Gemini and Vertex AI, while Amazon Web Services (AWS), Salesforce, and ServiceNow are building agentic AI frameworks designed to automate business operations across enterprise software environments.
Rather than competing directly with general-purpose AI assistants, GLG is applying agentic AI within a specialized knowledge services environment. The company’s approach combines autonomous interviewing with compliance controls tailored to regulated industries such as financial services, healthcare, consulting, and private equity, where expert research must adhere to strict governance standards.
Compliance remains a central differentiator for enterprise AI deployments. Organizations adopting autonomous AI systems increasingly require platforms capable of maintaining audit trails, protecting sensitive information, and ensuring human oversight throughout AI-assisted workflows. GLG says its AI Moderator operates within the company’s existing compliance framework, extending trusted research practices into AI-driven interactions.
Industry analysts expect intelligent research automation to become an increasingly important enterprise AI use case. According to Gartner, agentic AI is among the technologies expected to significantly reshape enterprise software over the coming years by enabling autonomous decision support and workflow execution. Meanwhile, McKinsey & Company estimates that generative AI and intelligent automation could unlock substantial productivity gains across knowledge-intensive sectors, particularly where information gathering and analysis represent significant operational costs.
For consulting firms, investment organizations, corporate strategy teams, and market researchers, AI-moderated interviews could significantly reduce the time required to transform expert conversations into actionable business intelligence. Rather than replacing human researchers, platforms like GLG’s AI Moderator are designed to automate repetitive coordination and synthesis tasks while preserving the nuance that expert interviews provide.
As enterprises continue moving from generative AI experimentation toward operational AI deployment, autonomous research agents represent another example of how artificial intelligence is becoming embedded within specialized professional workflows. GLG’s latest enhancement underscores a broader industry trend toward AI systems that not only generate information but actively participate in the collection, organization, and interpretation of enterprise knowledge.
Market Landscape
The market for agentic AI is expanding beyond productivity assistants into specialized enterprise applications such as research, consulting, customer service, software development, and knowledge management. Organizations increasingly require AI platforms capable of autonomous reasoning, workflow execution, multilingual communication, and enterprise governance. As adoption accelerates, vendors are differentiating through domain expertise, compliance frameworks, and seamless integration with existing business processes.
Top Insights
- GLG has expanded its AI-Moderated Calls platform with autonomous multilingual interviewing capabilities, enabling enterprises to gather expert insights more quickly across global markets.
- The agentic AI moderator conducts structured conversations, asks context-aware follow-up questions, and combines qualitative interviews with quantitative survey collection in a single workflow.
- Support for 10 languages and automated transcript synthesis reflects growing enterprise demand for scalable AI-powered research while maintaining governance and compliance.
- The launch demonstrates how agentic AI is evolving beyond conversational assistants into specialized enterprise systems capable of executing end-to-end knowledge workflows.
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