Case Study: LILT achieves faster security questionnaire turnaround with Wolfia AI

A Wolfia Case Study

Preview of the Lilt Case Study

How LILT accelerated $12M in deals by cutting questionnaire turnaround from weeks to days

Lilt, an AI-powered localization platform, faced a significant challenge with the overwhelming volume of complex security questionnaires from enterprise customers. These detailed assessments, which often contained hundreds of questions, were consuming an excessive amount of valuable time from subject-matter experts and sales personnel, slowing down deal cycles and pulling resources away from strategic work. To address this, they turned to the vendor Wolfia and its AI-native platform.

By implementing Wolfia, Lilt automated its security questionnaire response process. The solution ingested various document formats, auto-answered a high volume of questions using approved company knowledge, and continuously learned from expert feedback. This resulted in a dramatic reduction in processing time from weeks to just days and cut SME involvement by 90%. These efficiency gains enabled Lilt to support over $12 million in deals without any questionnaire-related delays and to scale its operations without adding new headcount.


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Lilt

Pav Athwal

General Counsel


Wolfia

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