A stalled AI project is rarely a dead one. Many have solid foundations. What they're missing is a clear diagnosis and a realistic path forward. We’ve been asking ourselves the same hard questions we ask our clients: Where are we strong? Where are we weak? What has to change, fast, to keep up with AI? We share what we've learned about getting stuck projects moving again, including a six-step recovery framework you can start using today.

Sharing our strategic consulting services, along with updates about what we've been working on recently at SRG Software.

In the wake of AI’s rapid development, we are left with the (sometimes forgotten) importance of building secure, ethical, and human-in-the-loop systems. While the EU AI Act is the first legally mandated AI framework to take effect, conversations around AI governance are gaining urgency worldwide. These principles are therefore becoming essential business imperatives to consider at the start of any software build. 

AI has taken over as a buzzword, especially in healthcare software development ecosystems. If it's been circling your organization, but you're still asking yourself, "Where do we start?", then you've come to the right place. This article dives deeper into how to integrate AI Agents and what it means to ensure security and smooth sailing, all while keeping expectations realistic.

Understanding the differences between traditional automation and Agentic AI is fundamental for healthcare organizations, practitioners, and stakeholders alike. The implementation of the latter multiplies the benefits of traditional automation, but it’s important to keep in mind that the two don’t replace each other. So let’s explore the basics.

In healthcare software development, the only constant is change. Regulatory requirements shift, stakeholder priorities evolve, and technical discoveries mid-project can upend even the most carefully laid plans. So how do you deliver on time, on scope, and on budget even when the ground keeps moving beneath you?