Appier Offers Operating Principles to Improve Agentic AI Performance
AI TIMES ·
✦ AI Summary
According to AI TIMES, Appier laid out five core conditions companies need to sustain and expand the business results of agentic AI, organiz…
According to AI TIMES, Appier laid out five core conditions companies need to sustain and expand the business results of agentic AI, organizing them under the name "SCALE." In the content released on September 21, Appier said that even as the use of AI agents spreads, only 37% of companies feel an improvement in profitability, making operating capabilities more important than adoption itself. The key is to clearly define what the company wants to achieve with AI and manage risks by examining AI's capabilities and limitations. It also said companies should deploy the right models and agents for each task and reflect the context and feedback accumulated during execution in the next decision. As AI use grows, multiple layers of reasoning and interaction increase as well, making resource efficiency an indispensable condition. In the end, the article argues that corporate competitiveness depends not on whether AI has been introduced, but on how steadily real results can be expanded through a system that delivers reliability and efficiency.
Perspective
This issue shows that competition in enterprise AI is shifting from the technology demo stage to competition over operating systems. If the standard for expanding results moves from simple adoption to the connection between goal setting, risk management, task allocation, learning, and efficiency, then in the field, the ability to run AI in a controllable way becomes more important than the speed of attaching AI to work. In the end, it suggests that the gap between companies that have operating principles and those that do not will likely widen further, even if they use similar technology.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
View originalThis article was summarized and organized by BizCrush based on the original article from AI TIMES. For exact quotations and full details, please refer to the original article.