The context: innovating without compromising trust

As the global debate around artificial intelligence intensifies, cultural institutions face a fundamental tension. On one hand, digital habits are evolving rapidly, reshaping visitor expectations. On the other, museums remain spaces of scholarly rigor, where the quality of sources and the reliability of content form the foundation of visitor trust.

For the Sanskriti Museum of Indian Terracotta, this tension was particularly acute. How could the visitor experience be modernized and made more interactive without weakening the institution’s scholarly authority? How could AI be introduced in a controlled framework that strengthens knowledge transmission rather than undermining it?

It was within this context that the Sanskriti Foundation chose to experiment with a conversational approach to cultural mediation, in collaboration with Ask Mona, during the India AI Impact Summit held in New Delhi with OpenAI.

The challenge: meeting evolving visitor expectations

Over the past decade, digital mediation has often fluctuated between two imperfect models. On one side, rich and rigorously documented content presented in static formats, offering limited adaptability to individual interests. On the other, interactive installations that can be costly and complex to maintain, and not always aligned with actual visitor behavior.

Visitor expectations have changed profoundly. Audiences no longer want to passively receive a predetermined narrative. They want to question the artwork, dive deeper into a detail, compare interpretations, revisit a specific point, and do so in their own language and at their own pace.

For an institution such as the Sanskriti Museum, this raised key strategic questions. How can a truly personalized experience be delivered without multiplying physical devices? How can generative AI be introduced while ensuring scientific validation and content reliability? How can the museum modernize its image without compromising the rigor that underpins its legitimacy?

The project’s objective was therefore clear: to test a solution capable of transforming the relationship between visitor and artwork while fully respecting the existing scholarly framework.

The solution: a conversational guide seamlessly integrated into the existing visitor journey

The response took the form of a cultural conversational assistant embedded directly into the museum experience.

Ten terracotta sculptures from the permanent collection were included in the initiative. Four were showcased at Travancore Palace as part of an international demonstration, while the remaining six are accessible within the museum itself, ensuring the experiment continues beyond the event and becomes part of everyday visitor use.

Activation was designed to be simple and intuitive. By scanning a QR code placed near each artwork, visitors immediately access a web-based conversational interface, with no app download or account creation required. This simplicity is deliberate: the technology stays in the background, allowing the experience to take center stage.

Once engaged, visitors can freely ask questions. They may explore production techniques, historical context, symbolism, or artistic influences. The AI responds in real time, in Hindi or English, drawing exclusively from content validated by the museum’s scientific teams.

Mediation shifts from a linear pathway to a personalized dialogue.

Editorial governance at the core of the system

Integrating AI into a museum setting requires careful reflection on content governance. The value of a conversational system depends directly on the quality and reliability of its sources.

At the Sanskriti Museum, all content was developed from materials validated by the museum’s scientific teams. Curators remain central to ensuring scholarly accuracy and reliability. The conversational layer does not replace their work; it extends its reach.

By making mediation available on demand and adapting responses to each visitor’s questions, the system reinforces the institution’s educational mission. It provides more flexible and personalized access to knowledge while fully preserving the museum’s scientific standards.

This balance between technological innovation and editorial rigor is one of the project’s defining principles.

Strategic benefits for the institution

The Sanskriti Museum pilot addresses several strategic objectives.

First, it delivers a personalized visitor experience in which each individual shapes their own path of exploration. This approach encourages sustained attention in front of artworks and deepens engagement.

Second, it enhances accessibility through multilingual capabilities without complicating exhibition design or adding physical materials.

Beyond the experience itself, the system enables data-informed mediation. Interactions reveal which themes generate the most interest, what types of questions visitors ask, and how deeply they engage. These insights provide a valuable lever for refining digital cultural mediation strategies.

Finally, by launching the initiative during an international AI summit, the museum demonstrated its ability to experiment with cutting-edge solutions in a demanding global context while maintaining the highest standards of scientific rigor.

A replicable model for cultural institutions

The New Delhi experience demonstrates that a cultural conversational assistant can be integrated without heavy infrastructure, without disrupting the visitor journey, and without compromising content quality.

It also shows that AI can serve as a strategic lever to strengthen engagement, modernize institutional positioning, and guide mediation strategies through real-world data.

For museum and heritage leaders, the question is no longer whether AI will influence the visitor experience. It is how to integrate it in a controlled, ethical way that aligns with the institution’s scientific mission.

What if your institution chose dialogue?

Would you like to explore how a conversational visitor guide can enrich your audience experience while upholding your scientific standards?

Our teams support you in editorial design, technical integration, and usage analysis to deploy a cultural AI solution tailored to your institution.

‍