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Having business data in a structured, accessible database creates opportunities far beyond traditional reporting. We look at how Dcode is using its own operational data in Kanopi to build new management visibility - and how software and AI are making it easier to turn existing data into useful information.

AI can feel overwhelming, with new tools, models and use cases appearing constantly. But businesses don’t need to start with AI - they need to start with the business problem. This article explores how to identify operational friction, find practical opportunities for AI and automation, and take the first steps towards building more efficient, scalable workflows.

Growing a trade business isn't just about hiring more people. As your team expands, the systems and processes that once worked begin to break down, leading to communication issues, missed information and operational bottlenecks. Learn why successful trade businesses focus on building better systems - and how the lessons from enterprise software have shaped Trady.

AI is transforming software development by dramatically increasing the speed at which teams can deliver new features. But faster development also means greater complexity and more opportunities for defects. This article explores why bugs are inevitable, why that's not a sign of poor software, and how organisations that invest in strong bug management, monitoring and operational processes will outperform those that focus on development speed alone.