Revolutionising estimations with AI is transforming how teams predict timelines, allocate resources, and improve project planning. Traditional estimation methods often rely on human intuition, which can introduce biases and inconsistencies. AI offers a data-driven approach that enhances accuracy, reduces uncertainty, and allows teams to focus on delivering value. If you’re interested in understanding the foundational shift in estimation practices, check out my earlier post on Rethinking Estimations in the Age of AI. This post explores AI’s capabilities, tools, and techniques for improving estimations, along with practical steps for integrating AI-driven solutions into your workflow. How AI Enhances Estimation Accuracy Analysing Historical Data AI tools can process vast amounts of historical project data to uncover patterns and trends, enabling more accurate …

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In the fast-paced world of software development, efficient collaboration and predictable outcomes can make or break a project. By standardizing ways of working across teams—whether they’re building features, supporting systems, or maintaining platforms—organizations can streamline operations, reduce risks, and maximize returns. But is it all smooth sailing? Explore the reasons, benefits, and potential pitfalls of standardizing processes for your software delivery teams.