Back

Turning AI into Business Value Remains Top Challenge for Enterprises

The Devoteam TechRadar 2026 report reveals that enterprise AI failures stem from poor execution rather than technological limits. While generative AI funding reached billions, around 95% of organizations failed to achieve measurable returns due to a lack of strategic focus and system integration.

Overcoming AI Business Model Integration Barriers

According to Bruno Tavares, CTO of Devoteam Portugal, the biggest obstacle to scaling AI is connecting tools to specific, core business processes. Unfocused proof-of-concept projects often burn resources without delivering tangible value.

images (1).jpg

For small and medium enterprises, avoiding fragmented pilots is essential. To succeed, companies must transition from isolated tools to specialized systems tailored to business goals. Business leaders and managers seeking modern workspace solutions can explore coworking spaces in Portugal.

Reorganizing Operations for Long-Term Return on Investment

Realizing productivity gains requires organizational change alongside technical adoption. Leading companies that integrate autonomous AI agents into daily workflows report faster development cycles and improved operational efficiency.

Overcoming Enterprise AI adoption challenges involves aligning technical teams with strategic business outcomes. Mastering AI business model integration enables companies to reorganize operating costs and capture sustainable returns when monetizing artificial intelligence. Tech specialists and developers looking for their next career move can check out tech jobs in Portugal.