Attimo
Panovia is an AI-powered knowledge and document intelligence platform designed for AEC teams who work with complex project information, drawings, reports, and technical documents.
The main UX challenge was not only designing an AI interface, but making a complex, system-heavy product feel clear, trustworthy, and usable for people who need fast answers without losing context.
Problem AEC professionals often work across fragmented documents, drawings, reports, meeting notes, and project files. Important information is usually buried inside long PDFs, technical documentation, or disconnected tools. This creates cognitive load, slows decision-making, and makes it difficult for teams to find reliable answers quickly. Most AI tools solve this only on a surface level: they allow users to ask questions, but they do not always show where the answer comes from, how information is connected, or what the user should do next. UX Approach My focus was to turn Panovia from a complex AI system into a clear, human-first product experience. I worked on structuring the user journey, defining key workflows, simplifying information architecture, and designing interaction patterns that help users move from documents to answers, and from answers to decisions. Key UX solutions included: A clear document upload and analysis flow AI-powered search designed around real project questions Source-backed answers with citations and document references A “Neural Map” concept to show how information is connected Simplified layouts for complex AI outputs Empty states, loading states, and error states that explain what is happening Report and export flows that help users turn insights into usable deliverables Trust patterns that make AI responses feel more transparent and reliable
Solution Instead of treating AI as a simple chat layer, we designed Panovia as a structured workspace where users can upload, search, analyze, and understand project information in one place. What Makes Panovia Different Unlike generic AI chat tools or traditional document management platforms, Panovia is designed specifically for complex project environments. It does not only answer questions. It helps users understand where the information comes from, how different documents relate to each other, and what the most relevant insights are. For users, this means less manual searching, less time spent reading through long documents, and more confidence when working with AI-generated answers. My Role; Panovia was not a traditional product enhanced with AI features; it was designed from the ground up as an AI-native platform, enabling multiple user groups to collaborate within a shared operational ecosystem. Rather than starting with interface design, I began the project with extensive UX research to deeply understand users, operational workflows, and business requirements. The platform served three distinct personas managers, engineering teams, and field workers each with fundamentally different goals, responsibilities, technical expertise, and daily workflows. The research phase included stakeholder workshops, user interviews, workflow analysis, journey mapping, task analysis, and pain point identification. I developed persona-specific scenarios to understand how each group made decisions, what information they required, where inefficiencies occurred, and how information flowed across teams throughout the operational process. These insights became the foundation for the product's information architecture, user flows, and AI-powered experience. One of the primary design challenges was balancing simplicity with capability: enabling non-technical field workers to complete tasks effortlessly, providing engineers with the level of control and detail they needed, and giving managers a clear, high-level view to monitor operations and make informed decisions quickly. Based on the research findings, I designed the information architecture, user flows, wireframes, high-fidelity prototypes, and design system, leading the product's end-to-end design process. Throughout the project, I collaborated closely with product and engineering teams to ensure user needs, business goals, and technical constraints were aligned. My biggest contribution to Panovia was not simply creating a polished interface, but designing a scalable, AI-native experience that successfully brought together three fundamentally different user groups within a single platform—reducing complexity, improving operational efficiency, and making advanced AI capabilities intuitive, trustworthy, and accessible.
