Projects

Marval MSM is a powerful, well-established service management platform, trusted by organisations to run their IT operations and hold years of valuable service data. But like most mature enterprise systems, it was designed long before AI assistants arrived — and that creates a growing gap between the data these systems hold and the AI tools teams increasingly want to use.
A growing organisation came to us held back by a familiar problem: their operations had outgrown the patchwork of spreadsheets, emails, and disconnected tools they’d relied on for years. Information lived in too many places, manual data entry ate into everyone’s day, and no one had a clear, real-time picture of how the business was actually performing. They needed a single system built around the way they worked — not another rigid, off-the-shelf product they’d have to bend their processes to fit.
Document-heavy processes are one of the biggest hidden drains on business productivity — and one of the areas where modern AI delivers the clearest return. We worked with a client whose team was spending hours each week manually reading, sorting, and re-keying information from incoming documents, a slow and tedious bottleneck that was holding up the wider process and introducing avoidable errors.
Many businesses don’t need entirely new software — they need their existing systems to finally work together. That was the case for a client whose teams were losing significant time manually moving data between separate, disconnected tools. The repetitive copy-and-paste work was slow, prone to error, and pulled skilled staff away from more valuable tasks, while inconsistencies between systems made it hard to trust the numbers.
AI-Enabled Solutions
When a business needs to deliver software to its own customers, performance, design, and reliability aren’t nice-to-haves — they’re the product. We partnered with a client to design and develop a modern, responsive SaaS web application built around a powerful analytics dashboard, turning complex data into clear, actionable insight that their users could act on with confidence.