What challenges has your team faced in implementing XAI requirements within Agile process?

Agile Artificial Intelligence Ethics

Stelian ROMAN Project Manager| MicroSafety Carlingford, New South Wales, Australia

Artificial Intelligence (AI) is transforming businesses across industries, but as models become more complex, understanding their decisions becomes increasingly challenging. Explainable AI (XAI) aims to address this by making AI systems’ behaviour and outputs transparent and interpretable. However, integrating XAI requirements within Agile workflows—characterized by rapid, iterative development—poses unique difficulties. This blog post explores the intersection of XAI and Agile, identifies key challenges, and offers practical recommendations for teams looking to build transparent, trustworthy AI in fast-paced environments.

What challenges has your team faced in implementing XAI requirements within Agile process?
Which XAI tools or techniques have you found most effective for iterative development?
How do you measure the success of explainability initiatives in your organization?

Blog post: Explainable AI (XAI) Requirements in Agile Workflows

ProjectManagement.com - The Agile Enterprise

Posted: Jun 28, 2026 11:29 PM

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Luis Branco CEO| Business Insight, Consultores de Gestão, Ldª Carcavelos, Lisboa, Portugal

One question I keep coming back to is whether we are measuring the success of XAI in the right way.

Many initiatives assess explainability by the quality or completeness of the explanations produced.
Yet explanations only create value when they improve human understanding, strengthen judgment and lead to better decisions.

Perhaps the ultimate measure of Explainable AI is not how well a model explains itself, but how much better people are able to question, trust and act on its outputs.
After all, the purpose of explainability is not explanation itself. It is better human decision-making.

Posted: Jun 29, 2026 7:38 AM

Lissette Indhira Pimentel Sosa

Community Champion

Program Manager| HARPER SRL Santo Domingo / Distrito Nacional, Dominican Republic

I haven't implemented formal XAI requirements yet, but I see the biggest challenge as balancing explainability with delivery speed, especially in Agile environments.
I think explainability should be considered from the beginning rather than added later. That makes it easier to validate assumptions, support governance, and build stakeholder trust as the solution evolves.

Posted: Jun 30, 2026 8:42 PM

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What challenges has your team faced in implementing XAI requirements within Agile process?

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