AQ22 is a loan assessment AI solution built exclusively for credit analysts. The platform boosts loan assessment efficiency, accuracy, and transparency for creditors, credit unions, and alternative lenders.

The AQ22 project is primarily aimed at credit analysts working within the financial services industry, including:

Creditors - These include traditional banks and financial institutions that assess loan applications and manage customer credit profiles.

Credit Unions - Smaller, member-focused financial organizations that provide loans and other financial services, often requiring streamlined and efficient loan assessment processes.

Alternative Lenders - Non-traditional lending organizations such as peer-to-peer lenders, fintech startups, and online loan providers who need efficient, data-driven tools for loan assessments and risk evaluations.

The redesign of AQ22 focused heavily on creating a minimalist and sleek dashboard that caters to the specific needs of credit analysts. The interface emphasizes simplicity, clarity, and ease of use while providing quick access to relevant information.

Key information such as “Credit Score”, "Ask" or “Review” are clearly labeled with bright, high-contrast buttons in vibrant colors like green, red, and yellow. This ensures that users can quickly identify and take actions without getting overwhelmed.

Buttons are rounded and spacious, making them easy to click on both desktop and mobile devices.

Hover effects on buttons indicate interactivity, enhancing the user's understanding of what actions are available.

Each loan application is presented in card-style containers that allow users to quickly glance at the status, risk profile, and key metrics for each loan.

The cards are color-coded to indicate the risk level of each loan, with green for low risk, yellow for medium risk, and red for high risk.

Key data such as credit score, ask, due date are clearly displayed within the card, with icons next to each metric for easy identification.

The dashboard allows users to customize their platform by adding or removing rules based on their preferences.

Analysts can choose to display specific loan performance indicators, historical trends, or AI-generated risk predictions based on their role or focus.

This flexible design empowers users to tailor the platform to their specific needs, enhancing overall efficiency.

After designing the dashboard, I was tasked with redesigning the website with the same branding style.

Sleek, Minimalist Design Clean, light theme with ample white space and modern typography for a professional look.

Intuitive Navigation Simple top navigation bar with sticky functionality, optimized for both desktop and mobile devices.

Clear Value Proposition Hero section with concise messaging, emphasizing AQ22’s AI-driven loan assessments and key benefits.

Interactive Demos & Features Live demos and short videos to showcase platform features, making it easy for visitors to explore.

Lead Conversion Focus Prominent CTAs like "Request a Demo" and lead capture forms to encourage engagement and conversions.

I was also tasked with creating a demo video for AQ22’s AI-powered loan assessment platform, which is showcased in the website. The video provides a brief overview of key features, including real-time risk analysis, customizable dashboards, and seamless collaboration tools. It showcases how AQ22 simplifies loan evaluations, improves efficiency, and supports better decision-making for credit analysts.

In conclusion, AQ22’s redesigned platform and website offer a sleek, user-friendly experience that enhances the loan assessment process for credit analysts. By focusing on simplicity, customization, and real-time insights, AQ22 empowers users to make faster, more accurate decisions, ultimately improving efficiency and transparency in the lending industry. The demo video effectively highlights these features, making it easier for potential clients to understand the value AQ22 brings to their operations.