Diagnose Errors

Diagnose
& Manage Errors

Learn how to diagnose and manage errors from AI systems and understand recovery paths.
UX AUDIT

Errors +
Graceful Failures

Our UX audits spot where AI errors confuse users and design graceful failures that teach, build trust, and turn mistakes into feedback opportunities.

Want to drive discussions, speed iteration, and avoid pitfalls?

BrandRx’s UX audit identifies usability issues in your AI product through interviews and testing, revealing barriers to trust, adoption, and performance.

We deliver actionable recommendations to improve usability, boost engagement, and align features with user needs. Beyond the audit, we act as your strategic partner—supporting product releases, setting up measurement systems, and guiding future design decisions for lasting success.

A UX audit benefits any stage of your AI product’s lifecycle. It’s ideal before a redesign, when adding new features, or validating designs pre-launch to ensure they meet business and user goals.

Regular audits help maintain product quality, usability, and trust—keeping your AI effective, competitive, and aligned with evolving user needs over time.

Unlike an expert review, BrandRx’s UX audit tests your AI product with real users, uncovering pain points, needs, and motivations. We combine user interviews with usability tests to reveal how people truly interact with your product.

This approach delivers deeper insights, identifies improvement areas, and drives design decisions that create a better user experience and a more successful product.

What you will get

Preparing For Your Future

Achieving Your Vision

Planning for retirement is essential to your long-term financial well-being. At Finovate, our experienced team collaborates with you to identify your retirement goals and crafts a tailored, comprehensive strategy to help you achieve them with confidence.

Our Process

How Can Our Team Help You to Reach Your Goals

01

Understand potential errors

We analyze AI errors—user, system, and alignment—evaluate with tools like confusion matrices, and assess real-world impacts to design safer, more reliable products.
02

Identify sources of error

We uncover error sources in data, model performance, user input, and system interactions, then create targeted strategies to reduce or prevent errors and improve AI usability.
03

Provide recovery paths

We design recovery strategies, proactive error guidance, and feedback loops—ensuring your AI adapts to failures, anticipates risks, and maintains user trust over time.
Testimonials

See What Our Clients Are Saying

Why us?

You’ll Know What

you’re getting builds AI product steps to take next
We keep everything simple, transparent.