Articles

3ieimpact, a global public-sector organization supporting researchers and policymakers, sought to improve the accessibility of their mailing list subscription form to ensure compliance with WCAG 2.2 AA standards. The existing form presented multiple barriers for users with disabilities, including poor screen reader support, inadequate keyboard navigation, low contrast issues, and unclear error messaging. We conducted a comprehensive accessibility audit and restructured the form using semantic HTML and ARIA attributes. Enhancements included proper focus management, improved color contrast, accessible error messages, and full keyboard navigability. These updates were rigorously tested using assistive technologies like NVDA and JAWS. As a result, the form achieved full WCAG 2.2 AA compliance, significantly improving usability for all users, especially those with visual or motor impairments.

ART Fertility Clinics (AFC), a global leader in fertility care, faced usability and accessibility challenges on their website that hindered patient engagement. Many users, including those with disabilities, struggled to navigate the site, book appointments, or access information—leading to missed opportunities and user frustration. To address this, we focused on accessibility compliance (WCAG 2.1 AA) and user-centric design. Key improvements included an accessibility audit using tools like Axe and Wave, and the introduction of a tab-based navigation system that streamlined core actions like booking appointments, reviewing medical reports, and submitting inquiries. The results were transformative: the website became inclusive and easier to use.

LUXVT, a digital platform for luxury real estate, faced slow and costly manual regression testing for its tour creation feature, hindering development speed and limiting test coverage. To address this, an automated testing framework was implemented using Selenium Java, TestNG, and a data-driven approach. This resulted in ~93% test automation for the module, a ~75% reduction in regression testing time, significantly broader test coverage (including edge cases), faster defect detection, and improved overall software quality and team productivity, enabling quicker, more reliable releases.

This case study details how a US based Talent Solutions Company, that serves some of the Fortune500 companies, transformed its business development and lead generation functions by implementing AI-enabled automation. The company needed to double qualified leads in the next fiscal year to meet aggressive growth targets. The core of the transformation involved automating key processes related to named account management, prospect list generation, target account identification, buying signal detection, and social media monitoring. The implementation of AI-powered automation resulted in a 4x increase in pipeline size and a 50% improvement in MQL to SQL conversion rates.