Energy technology company SLB has announced the launch of Tela, an agentic artificial intelligence (AI) assistant for the upstream energy sector. Tela uses agentic AI to automate processes, and SLB says it will be embedded in the company’s portfolio of applications and platforms. Users will interact with the AI through a conversational interface.
Tela follows a common five-step agentic AI loop: observe, plan, generate, act, and learn. This allows agents within Tela to interact with their environment, adapt to new data, and continually improve outcomes.
“Technology like Tela marks a paradigm shift in how AI supports the energy industry, from subsurface to operations,” said Rakesh Jaggi, president of digital and integration at SLB. “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.”
Tailored for the energy industry and powered by SLB’s Lumi data and AI platform, Tela uses agentic AI—using large language models and domain foundation models—to understand domain-specific contexts, generate insights, and adapt workflows in real time based on observed outcomes. SLB says Lumi’s agentic framework allows customers to build and manage their own Tela agents, tailoring its capabilities to their operational priorities.
“The real promise of agentic AI isn’t just faster workflows—it’s the ability to see the whole system, anticipate what’s next, and act with confidence, learning through the process and transforming workflows for better enterprise-level outcomes,” Jaggi said.