Tela, an agentic AI assistant, will be embedded across the SLB software and platform, automating select processes by applying a five-step process
That five-step agentic AI loop is built around five key processes: observation, planning, generation, action, and learning. Tela agents will be able to adapt to new data to improve efficiency outcomes in a vast number of use cases, from well log interpretation to drill issue prediction.
Rakesh Jaggi, SLB's president, digital and integration, introduced the new tool. "Technology like Tela marks a paradigm shift in how AI supports the energy industry, from subsurface to operations. Today, the industry faces a dual challenge: a leaner workforce and increased technical complexity, and Tela can address both.
"Tela doesn’t just automate tasks — it can understand goals, make decisions and take action. It’s the convergence of 100 years of domain science and cutting-edge digital technology, amplifying human ingenuity and redefining how work gets done."
Tela is now deployable across SLB software applications and platforms.
