Overview
Business users and analysts often struggle with the time-intensive and manual process of creating dashboard wireframes. NeenOpal, in collaboration with AWS, introduced an AI-powered wireframe generation and review solution via Mokkup.ai, a leading BI wireframing platform. This innovation leverages AWS Bedrock, zero-shot AI prompting, and a proprietary layout engine to automatically generate, review, and optimize dashboard designs. With over 110,000 active users across 60+ countries, Mokkup is transforming dashboard prototyping into an intelligent, streamlined experience.
60%
Faster Wireframe Creation Time
80%
Reduction in Manual Design Effort
90%
Layout Accuracy vs. Benchmarks
2
Weeks from Pilot to Live Integration
Customer Challenges
Despite advancements in BI tooling, business users and analysts still face bottlenecks during the wireframing phase. Prior to adopting Mokkup.ai, the organization encountered several obstacles that slowed down dashboard development:
Manual and Repetitive Design Workflows
Users often spent hours building screen layouts manually using drag-and-drop tools.
Lack of Intelligent Suggestions
No contextual recommendations or reviews meant wireframes lacked UX best practices.
Limited AI Accessibility in Wireframing
Business users lacked access to AI tools that could auto-generate BI dashboards from simple goals.
Inefficient Collaboration on Design Feedback
Multiple users working on the same wireframe faced version control and feedback loop inefficiencies.
Architecture Diagram
A next-generation analytics framework combining Mokkup AI with AWS Bedrock generative AI to automate BI dashboard creation, simplify insights, and accelerate data-driven decision-making.
Solutions
To address these challenges, NeenOpal implemented an AI-powered wireframing engine, built on AWS and seamlessly integrated with Mokkup.ai. The solution automates dashboard prototyping using zero-shot AI prompting, dramatically reducing design time and effort.
01.
Zero-Shot AI Wireframe Generation
Users simply enter prompts like “Generate a CFO dashboard” or “Create a sales dashboard”, and AI creates a complete screen layout using best-fit charts, KPIs, and filters.
02.
AI-Powered Wireframe Review
The system reviews an existing screen, suggests design improvements, element grouping, or layout adjustments based on domain-specific UI/UX standards
03.
Built on Amazon Bedrock for Scalable Inference
Integration with Amazon Bedrock (Haiku 3.5 selected for generation and Clause Opus 4 for reviewing after benchmark tests) ensures low latency and cost-effective layout generation using proprietary prompt orchestration.
04.
End-to-End Workflow
From user prompt → layout logic inference → mock data generation → JSON rendering → interactive UI all handled in seconds with complete backend observability and logging.
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