Key Facts

• S&P Global built a flexible AI-agent platform for customers who had used different applications to work across its upstream energy products.
• The company introduced the platform to a small group of customers and used their feedback to prepare for broader adoption.
• Bhathena said S&P Global’s value rests not only on its proprietary and public data, but also on how it uses that information and its customer relationships.
• S&P Global previously had hundreds of AI projects underway, but Bhathena said the company shifted toward a smaller set of initiatives expected to deliver significant value.
• Bhathena described AI adoption as an input measure, not an outcome measure, and urged companies to ask what they can now do for customers that they could not do two years earlier.
• S&P Global is using forward-deployed engineering, which places technical specialists alongside customers to understand problems and develop solutions.
• Bhathena discussed an AI-enabled product development life cycle at S&P Global and noted that faster code production is changing product managers’ roles.