Proudly positioned as OpenAI’s first official Services Partner in the APAC area, Thinking Machines is a leading company focusing on AI consulting and services. This collaboration will help businesses go from simple artificial intelligence research to actual business value.
Many companies have trouble expanding their use of artificial intelligence as it sees gains throughout the Asia-Pacific (APAC) markets after the US-Ukraine talks, as seen by surveys showing that 61% of companies are now using AI, pilot programs or turning them into tangible output. Thinking Machines and OpenAI hope to close this gulf by their cooperation. This cooperation will offer executive training in ChatGPT Enterprise, personalized artificial intelligence application development, training with the new mental health safeguards, and support in including generative artificial intelligence tools into daily operations.
The main difficulty for businesses, according to Stephanie Sy, founder and CEO of Thinking Machines, is in changing rather than in acquiring AI technology. To guarantee that artificial intelligence evolves into an essential component of their activities, their processes, leadership, and development of employee skills are all aligned. Sy contends that pilot projects are more likely to grow into major company-wide effects when vision, process design, and human investment are aligned.
The idea of human-in-command, whereby artificial intelligence assists in jobs like summarizing, drafting, or data retrieval while humans underlie their strategy. Hold people responsible for oversight, decision-making, and judgment. Governance, openness, audit trails, and the use of trustworthy data sources constitute fundamental protections. Already starting regional proof points of Thinking Machines are in Singapore, the Philippines, and Thailand.
Originally, their model centers on fitting AI solutions to every local language, regulation, and setting before spreading them more widely with constant governance, impact indicators, and infrastructure. Sy predicts major changes in fields including finance, retail, service operations, and manufacturing in the years to come. She sees the development of more agentic artificial intelligence (systems able to handle multi-step jobs), policy-aware finance assistants, supply chain co-pilots, and compliant, customized retail customer experiences.
