.NET Projects and Case Studies

Our mission goes beyond building features: it’s about creating technology that works smoothly for every person. Digital accessibility is not simply a compliance requirement; it forms the foundation of high-quality, inclusive user experience (UX) and reliable product design. To support this commitment, we’ve developed an internal, cross-disciplinary checklist. It’s tailored for UX Designers, Developers, and QA Specialists, offering a clear roadmap for removing barriers before any release.

For organizations that create or support Electronic and Information Technology (EIT), accessibility is not something that can be added at the end of a project. It needs to be part of how teams design, build, and maintain digital products. Although Section 508 is often associated only with U.S. federal agencies, its practical influence is far wider. The standard has become a dependable reference point for digital inclusion and a valuable guide for any company focused on quality and long-term user trust.

This article explains what Section 508 covers and turns its principles into a clear, text-based checklist your engineering, design, and QA teams can use to develop accessible products with confidence.

Creating accessible digital products is not just a legal requirement, it is good design. A web accessibility audit helps ensure that everyone, including users with access needs, can use your website or app with ease. It checks how well your product meets the Web Content Accessibility Guidelines (WCAG) 2.2, the global standard for inclusive digital experiences.

The UKAD team explores how AI is being used across the B2B ecommerce lifecycle to quietly improve the way things already work. It covers real-world use cases, practical benefits, and what teams should know before getting started, including search and demand forecasting, pricing, support, and content management. If you’re dealing with scale, complexity, or growing expectations, this guide is written for you!

UKAD has been named a Microsoft Solutions Partner for Data & AI (Azure). In this post, we explain what this recognition means, how it reflects the way we approach AI development, and what kind of support businesses can expect when working with us, like building AI tools or integrating machine learning into real operations.