A practical guide

IT's guide to enterprise
AI Application Generation platforms

IT's guide to enterprise AI Application Platforms

IT's guide to enterprise
AI Application Generation platforms

A practical guide for CIOs, IT Managers, and Enterprise Architects evaluating platforms for building AI-powered business applications, without losing governance or budget control.

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What's inside

Most AI pilots fail.
Yours doesn't have to.

95% of enterprise AI pilots never reach production. Here’s how to be in the 5%. The tools that make AI fast were never built for enterprise governance. The tools that have governance weren’t built for AI. This guide maps every major platform category, shows you where each one breaks down at scale, and gives you the evaluation framework to make a decision you won’t regret in 18 months.

Why AI pilots stall before they ship

The structural gap between prototyping tools and production-ready applications - and why most platforms were never designed to close it.

How to evaluate any platform

AI capability, governance, ERP connectivity, TCO, digital sovereignty, and time-to-value - with a scoring framework you can use in vendor meetings.

3 platforms. One honest comparison.

An unvarnished look at Lovable, Mendix, OutSystems, Power Apps, and custom dev: what each does well, and exactly where each one falls apart at enterprise scale.

A vendor checklist

Questions designed so that platforms that can’t meet enterprise requirements disqualify themselves on their own answers - before you’ve committed time or budget.

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