Guide to low-code and artificial intelligence

Most enterprises have already integrated artificial intelligence into their development processes. The problem isn't adoption, but what comes next: dozens of disconnected tools, ungoverned agents in production, and compliance gaps discovered too late.

This guide is based on years of artificial intelligence and low-code implementations across banking, insurance, healthcare, and manufacturing in Portugal and across Europe. It covers what actually works, what fails, and how to build a framework that scales.

Inside the eBook "Guide to Low-Code and AI" you will find:

• The five pillars of a modern development framework: unified platform, governance, empowered teams, continuous measurement, and scalability
• What to look for in a platform, and what separates truly AI-native tools from products that bolt AI on as an afterthought
• How to measure real ROI using DORA metrics, and why the biggest gains rarely come from coding faster
• The five capabilities needed to govern AI-assisted development in regulated environments: centralized control, explainability, human oversight, embedded security, and continuous monitoring
• The use cases delivering the most tangible value today: agentic IT automation, automated testing, legacy modernization, and rapid prototyping

Download the eBook "Guide to Low-Code and AI" to access all the information.