36+
2021
Practical guidance for building human-centered AI products
We Listen, Think Humanly,
Advise & Take Action
Integrity
Client Focus
Risk Resilience
Expertise
You’ll know what
What guides us when designing with AI
Client experiences that speak for us.
“Finovate has been instrumental in our growth. Their team took the time to truly understand our needs and helped us eliminate inefficiencies.”
“Partnering with Finovate was a game-changer for us. They took the time to understand our challenges and helped us streamline our operations for success.”
“I hired Finovate for a small project & was very happy. He not only answered all my questions, but he didn’t treat me like a “small project”.
I was very satisfied & would recommend.”
UX for AI
FAQ’s
Common questions on UX research and designing
How does BrandRx approach UX design for AI products?
At BrandRx, we begin every engagement with a custom plan tailored to your product’s stage—whether you’re starting from scratch or building on an existing proof of concept or brand.
Our UX design process is deeply research-driven, with a strong focus on design testing, validation, and iteration. This helps us craft AI experiences that are not only beautiful but also intuitive, effective, and user-centric.
What sets us apart is our collaborative approach. Unlike traditional UI/UX agencies, we immerse ourselves in your business and industry to understand your goals at a deeper level. This enables our experienced designers and researchers to create solutions that align with your strategy and contribute directly to business outcomes.
Can BrandRx help build AI products from the ground up?
At BrandRx, we specialize in designing human-centered AI experiences—not building AI models from scratch. While we don’t develop machine learning models ourselves, we play a critical role in defining what data needs to be collected, how AI features should function, and how they integrate into the overall product experience. We collaborate closely with your internal or external development team and data scientists to bring those features to life.
Our process begins with strategic workshops to deeply understand your goals, product vision, and target users. We follow this with comprehensive UX research—including user interviews, competitive benchmarking, and industry analysis—to identify key pain points, needs, and opportunities.
If you’re working with an existing product, we may also conduct a UX audit to assess what’s working and where improvements are needed.
How long does it take to onboard your team to an AI product?
Our team ramps up quickly. We typically need 1–2 weeks to fully onboard, depending on the product’s complexity and available documentation.
We start with workshops to understand your goals, users, and existing AI features, then dive into research and design. Team members with prior AI experience are prioritized, and others quickly gain domain knowledge to contribute effectively.
