Exploring AI

Two out of five organizations say that agile works well for them [1] and about 20,000 enterprises are practicing SAFe [2]. Business Agility, Innovation, and Digital Transformation aren’t just buzzwords anymore. They’re the real deal for any org looking to thrive in this ever-evolving tech universe. And now, with AI, Generative AI, and even Agentic AI entering the scene, it’s time we stop seeing them as optional. They’re the future—and they’re here to supercharge how we work, think, and build.

 Agility + AI = Business Agility a way of life

This isn’t just a trend—it’s a movement. We're inviting you to explore how Agile practices and AI advancements can not only co-exist but actually amplify each other’s impact.

Here’s a quick snapshot from two key reports that show where things stand:

1. 17th Annual State of Agile Report: Out of 750+ pros, 29% are already diving into AI tools—figuring out how to integrate them into products, services, or internal processes.

2. 2025 State of SAFe Report: 21% of orgs are using SAFe’s AI guidance—a solid sign that AI-powered agility is gaining momentum.

I’ve been playing around with some AI-driven Agile workflows, and it’s going to take some workflow changes and a serious boost in a data-led decision-making culture—but the potential?

What’s Holding Back Business Agility?

The same reports point to a few roadblocks:

• 44% struggle with end-to-end visibility—from idea to delivery.

• 34% can’t quite measure things like cycle time or bottlenecks, which makes optimizing flow a pain.

• Many orgs find it hard to measure the real impact of Agile, especially in terms of ROI or maturity.

The common thread? A lack of data culture. Without clean, actionable data, agility hits a wall.

Why AI Might Just Be the Secret Weapon

AI is built for this. From productivity tools to workflow optimization, AI can help you define, collect, and analyze data faster and smarter. The result? Real-time insights that empower smarter, faster decisions.