The Year AI Moves From Experiments to Everyday Work

Integrating Intelligence into the Core of Business

Artificial intelligence is moving beyond the experimental phase and becoming a foundational technology for enterprise operations. In 2025, the focus has shifted from whether to use AI to how to implement it safely, responsibly, and effectively within existing business workflows.

Key Highlights

• Operational Redesign: Companies are moving from small tests, like basic chatbots, to redesigning entire workflows where AI is integrated into daily tasks.
• Emerging Governance: The AI Act and new international standards are prompting organizations to form AI councils for safety and risk oversight.
• Infrastructure Reliability: A new field known as LLMOps is allowing businesses to manage AI models with the same dependability as traditional software DevOps.
• Sector-Specific Success: Marketing, legal, and finance teams are already seeing gains in speed and accuracy by using AI for contract reviews and brand-safe content creation.
• Decreasing Costs: More efficient hardware and models are making it cheaper for companies to run AI at a large scale across cloud and on-site systems.

"Until companies embed AI into their workflows and governance structures, they will stay stuck in pilot mode. The organizations that succeed will be the ones that make AI part of everyday decision-making and continuous improvement." — Frank Palermo, Chief Operating Officer of NewRocket  

Read the full story here

‍