Is Scrum really dead, or are teams using the framework as a scapegoat for something else? Let's dive into the real reasons why people think Scrum is dead.

Evidence-Based Management (EBM) and Agile Forecasting work hand in hand to help organizations make smarter, data-driven decisions. EBM ensures teams measure value delivery through empirical data, while Agile Forecasting leverages probabilistic methods to predict future outcomes. Together, they improve predictability, risk management, and stakeholder confidence, enabling teams to deliver measurable results aligned with business goals.

This article explains why Agile Forecasting is a game-changer. It examines how agile forecasting helps teams set achievable goals, manage risks more effectively, and build trust with stakeholders by delivering transparent, data-driven insights.

This article explores how Agile Forecasting, powered by Monte Carlo Simulations and flow metrics, provides teams with accurate, data-driven predictions to balance Agile's flexibility with the need for predictability in IT planning.

AI prototyping projects can be effective ways of exploring new concepts, but concluding them effectively is important too.

There's a lot that can go wrong with AI. Let's talk about how to minimize that risk.

Let's talk about how to successfully run AI prototyping projects

Who would have thought a simple meeting to fill a new need arising from remote work would have such an impact to team dynamics.

In this article we'll move along in that process and discuss launching AI prototyping projects in a way that sets them up for success.

Let's talk about how to properly envision and scope your organization's AI prototyping projects