How to control risk and optimize revenue in the energy and commodities ecosystem
A Chartis Research report, sponsored by ClearOpx
Commodity and energy trading operations are built on complex contracts that embed hundreds of future obligations, triggers, and decision points. Managing those events manually across documents, systems, and counterparties creates gaps that expose firms to operational risk and revenue leakage.
In this report, Chartis Research argues that these same structured, event-driven processes are ideally suited to automation using agentic AI. Chartis further asserts that the combination of OTRM™ and agentic AI represents a fundamental shift in how commodity firms manage operational risk.
