Agentic & Conversational AI for Research

The stakeholder request you need an answer to by Friday. The cross-project synthesis leadership is expected. The deck that needs real consumer evidence, not placeholders.

Join Voxpopme to see how agent-powered research workflows turn high-stakes work into stakeholder-ready output — in a single conversation. You read the room. Agents bring the evidence.

Whether you're building the evidence base behind a strategic recommendation, keeping pace with a shifting market, or validating the bets that shape your next quarter, research agents compress the distance between the business question and the answer your organization needs to act.

Why attend this session?

• From Question to Boardroom: See how research agents move you from a stakeholder ask to a stakeholder-ready deliverable in a single sitting
• Depth Across Your Full Research Library: Surface the nuance buried across projects, transcripts, and past studies — with agents doing the heavy lifting behind you
• Evidence Ready When the Decision Is: Get consumer evidence in front of the decision — not after it's been made
• See It In Action: Watch a research agent investigate, synthesize, and build a stakeholder-ready deliverable live

Can you trust LLMs with multi-million dollar decisions? How do you avoid creating more work checking insights, than in producing them?  What needs to be in place to scale agentic across the organization with confidence?

i-Genie's CEO will demonstrate Presto, i-Genie.ai's agentic insights platform that is grounded in large-scale observable data and quantifiable metrics based on specialized, predictive deep learning models.  The future of agentic insights requires confidence in the "What," the "So What," and the "Now what."  i-Genie.ai will show you a future world where you questions can be answered with speed and confidence so you can compete at digital speed.

If you’ve ever managed a qualitative research project, you know it’s part science, part art and it’s full of moving parts. From scheduling interviews to moderating participants and managing client expectations, it doesn't take much for complexity to grow. 

Enter AI Moderation: a practical assistant that tackles the heavy lift in qualitative research moderation, so humans stay focused on where it matters - interpreting the data and developing strategy. 

Join us for a live demo and discussion where our team will introduce AI Moderation in QualBoard, part of Sago’s end-to-end AI approach to research. In this session, we’ll explore what AI moderation really means, where it fits across the research lifecycle, and where it delivers the most value.

Generative AI has made it trivially easy to collect “qualitative answers.” What it hasn’t solved is the hard part: generating human data that captures motivation, meaning and causality - data you can trust and use as a long‑term insight asset. As AI scales, the competitive advantage is no longer speed or summaries; it’s ownership of high‑quality, private human datasets built with methodological intent. To get the best analytical outcomes, we have to ask questions the right way.

In this session, Garreth and Bryant will challenge the current wave of Qual AI tools that prioritise fluent conversation over rigorous elicitation. Through a live demo of EVE Qual Pro, they’ll show how advanced qualitative techniques like laddering, projective methods, and structured probing can be operationalized inside AI‑led conversations to systematically generate deeper data. The session will also demonstrate how text analytics, when applied to the right kind of qualitative input, transforms rich human language into structured insight without stripping away nuance. The outcome isn’t just faster qual, it’s a proprietary, compounding human data asset designed for the AI era.

Qual research has always had a ceiling — the time, cost, and manual effort required to moderate conversations limits how many people you can actually talk to. aytm's Conversation AI breaks that ceiling.
In this 20-minute demo, we'll show how Conversation AI uses AI moderation to conduct open-ended, dynamic interviews at scale — surfacing the depth and nuance of qualitative research without the operational constraints. See how researchers are getting richer "why" answers from hundreds of respondents, integrated directly alongside their quantitative data in a single platform.