In a research industry challenged by low-effort responses and fraudulent participants, Glaut has introduced a new way to collect data that protects integrity by design.
Our AI-Moderated Interviews (AIMIs) integrate real-time fraud prevention agents directly into the data-collection flow, earning Glaut the ESOMAR Award for Breakthrough Research Methodology.
Traditional web surveys struggle with speeders, bots, and copy-pasted answers.
AIMIs solve this by merging the depth of qualitative interviews with the scale and control of surveys, while embedding automated quality checks that filter out noise before it enters the dataset.
This isn’t a post-hoc cleanup. It’s live curation: data quality protected in real time.
Each interview is conducted by an AI moderator that listens, adapts, and validates as it goes.
Four fraud-prevention agents ensure data consistency and authenticity:
Together, these agents transform data quality assurance from an afterthought into a real-time integrity system.
In a controlled comparative study with two balanced groups of 100 participants in Italy, AIMIs achieved:
| Metric | AIMI Result | Δ vs. Traditional Surveys |
|---|---|---|
| Words per respondent | +129% | Deeper responses |
| Themes extracted | +18.6% | Greater interpretative value |
| Gibberish responses | −53.6% | Cleaner data |
| Valid completion rate | +56.4% | Higher engagement |
| Transcript quality preference | 66% | Human reviewers favored AIMIs |
Source: Glaut, Occhipinti (2024); ESOMAR Award-winning study
These results confirm that AI-moderated interviews deliver both quality and scalability, a rare combination in research.
Beyond the controlled study, AIMIs have been applied across commercial and academic contexts:
Both studies demonstrated that AIMIs are inclusive, efficient, and fraud-resistant, even in complex populations.
Glaut’s ESOMAR recognition marks more than an innovation in AI, it signals a paradigm shift in research methodology:
“Instead of analyzing what went wrong after fieldwork, we now prevent bad data before it starts.”
AIMIs are not replacing surveys or interviews, they bridge them.
They enable scalable, conversational, and fraud-secure data collection that adapts to respondent behavior in real time.
Glaut continues to expand AIMI’s fraud-prevention framework with:
The next phase aims to establish AIMIs as a new standard for responsible, AI-driven research.
AI-moderated voice interviews for insights at scale
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Glaut is a vertical agentic workflow automation platform for customer research. Researchers use Glaut to produce research insights 20x faster and 3x cheaper, leveraging AIMIs (AI-moderated voice interviews) in 50+ languages.
