Greg Beaumont, Principal at Ernst and Young LLP, shows how the combination of Unqork and AI can accelerate time to market for highly complex applications for insurance and other industries
The process of gathering requirements and building out specifications can present major challenges for insurers and other financial services firms. In this video, Greg Beaumont, Principal at EY, demos how AI can accelerate the work of product owners and business analysts, transforming simple AI prompts into structured elements within an Unqork application.
As Beaumont shows, the solution turns prompts into structured outputs like acceptance criteria (in Gherkin format), JSON payloads, and even preliminary Unqork modules.
According to Beaumont, potential benefits of such an approach include:
- Faster requirements gathering: AI can rapidly generate user stories, acceptance criteria, and screen mockups from simple prompts—completing processes in minutes that used to take days.
- Help empower product owners and business analysts: Non-technical roles can independently produce functional application drafts without relying heavily on developers, increasing productivity and reducing bottlenecks.
- Help accelerate prototyping and iteration: Early-stage application shells can be quickly created and refined, enabling real-time feedback and faster alignment with business needs.
- Rapid repurposing of legacy knowledge. By leveraging AI, existing documents, SharePoint data, and other product materials can inform or enhance current product models, saving significant manual effort. One EY client, unsure of their product model, actually reverse-engineered the model, from coverages and limits to deductibles and product definitions.
Learn about Unqork’s partnership with Ernst and Young LLP.
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