GetScaled University

94% of Enterprises Have an AI Agent Sprawl Problem. Only 12% Have Done Anything About It.

A new OutSystems report found that 94% of enterprises are concerned about AI agent sprawl — yet only 12% have taken action. The gap between awareness and governance is not a technology problem. It is a revenue problem in progress.

The Agentic Coordination Failure: Why More AI Agents Are Making Your Revenue Engine Less Intelligent

Enterprise AI teams are deploying more agents than ever. But without a shared coordination layer, each new agent compounds the chaos. Here's why the Agentic Coordination Failure is the defining infrastructure problem of 2026.

The Personalization Paradox: Why Enterprise AI Knows Everything and Does Nothing

Enterprise AI knows everything about your customers — and still can't tell your team what to do next. Here's why the last mile is broken, and how to fix it.

The Execution Gap: Why Enterprise AI Investments Are Stranded at the Insight Layer

Most enterprises are not failing at AI because their models are weak. They are failing because a structural gap exists between where intelligence is generated and where revenue is actually created. This paper defines that gap, explains how it forms, and outlines the architectural conditions required to close it.

The Hidden AI Problem: Customer Identity

Your AI Isn’t Underperforming. It’s Under-Activated.

Why the AI Development Bottleneck Isn’t AI — and Why Infrastructure Control Will Define the Winners

Most enterprises believe AI deployment delays are caused by model limitations. Industry data shows otherwise. The real bottleneck is fragmented infrastructure, integration complexity, and disconnected communication channels. This paper explains why execution-ready architecture — not intelligence alone — will define the winners of the agentic era.