Category: Cloud Computing

Scaling Bookings With Controlled AI: How Oldnavi Modernised Its Platform on AWS

Oldnavi served between 350,000 and 500,000 customers, but dispatch coordination still depended on spreadsheets, calls, and messaging groups. Coordination errors caused 10% of bookings to be rescheduled. Manual dispatch oversight consumed 30 hours each week, while fragmented software added further expense. Arthurite Integrated modernised the platform on AWS, combining resilient application infrastructure with AI-assisted booking […]

Bringing African Art to a Global Audience: Muzart Ventures’ AWS Transformation

Muzart Ventures connected more than 1,200 African artists with an international audience of over 45,000 art enthusiasts. Its infrastructure struggled to deliver the experience that audience expected. International visitors faced slow pages, and exhibition launches created traffic spikes that disrupted service. For a business built around visual discovery, those delays affected both engagement and sales. […]

Turning Safety Evidence Into Business Growth: Zero Incidence Crew’s AWS Journey

For Zero Incidence Crew, fragmented records were affecting more than administration. Enterprise customers needed evidence of robust safety processes, but incident information was scattered across spreadsheets, emails, and disconnected tools. Around $500,000 in potential contracts was stalled, while audit preparation required almost four weeks of manual effort. Arthurite Integrated helped the firm establish an AWS […]

Five Months of Uninterrupted Service: How DAG Industries Strengthened Its AWS Operations

For DAG Industries, moving applications to a new cloud environment was only part of the challenge. The business also needed dependable day-to-day operations: clear accountability, continuous monitoring, structured incident response, and visibility into infrastructure costs. Its original environment supported DAG Connect, an attendance application, and a corporate website on AWS infrastructure hosted in Dubai. Infrastructure […]

The Semantic Bottleneck: Why Your Enterprise AI Agents Are Lost in Translation

Right now, engineering teams are rushing to deploy multi-agent AI systems, assuming that if they connect enough language models to their internal APIs, the agents will magically figure out how to run the business. But there is a massive, invisible wall stopping these deployments from actually reaching production. Your AI agents literally do not understand […]