McKinsey’s global survey found only 6% of enterprises qualify as AI high performers, meaning AI contributes 5% or more to EBIT. That group grows revenue five times faster, runs agents across functions and has rebuilt workflows from the ground up. The other 94% spend the same money for a different outcome: pilots stuck in sandboxes, AI layered on processes never designed for it, individual productivity gains that never reach the financial statements.
1. Data without context
Data lakes hold data, not meaning. AI cannot reason across systems that are not semantically connected, so recommendations stay generic and nobody trusts them enough to act. Gartner predicts 60% of AI projects will be abandoned for lack of AI-ready data and calls the context layer (knowledge graphs, enterprise ontologies) the number one missing piece of AI infrastructure.
2. Intelligence without a path to execution
AI produces a recommendation, a person re-enters it in another system, routes it to another team and waits for approval. Coordination overhead eats the value. Gallup surveyed 263,810 workers: 65% say AI makes them more productive, only 12% say it changed how their organisation works. A 53-point gap between individual and business value.
3. Agents without governance
In a pilot a small team self-regulates. At enterprise scale that collapses: legal cannot approve what it cannot audit. IBM and Ponemon found shadow AI involved in 20% of data breaches, adding 670,000 USD per incident, and 63% of breached organisations had no AI governance policy.
What Mobino does about the three gaps
We do not start by picking a model. We start with a context map of the business, connect data from the systems already running, place agents in workflows with explicit human handoff points, and switch governance on at creation: every action traceable, every decision auditable. The Mendix low-code platform lets us do all three on one shared layer without replacing core systems.
Sources: McKinsey State of AI (Nov 2025); Gartner D&A Summit (2026); Gallup (Apr 2026); IBM/Ponemon Cost of a Data Breach (2025). The three-gap framing follows Mendix’s Agentic Enterprise Platform material.