AWS released a new set of ready-to-use AI workflows for Amazon Quick, the AI assistant, designed specifically for energy and utilities customers. These workflows give energy professionals easy access to insights and actions tailored to their sector — from grid planning and asset management to drilling exploration — without custom development.

Powered by MCP-connected integrations from more than a dozen partners across the energy industry, Quick allows energy customers to pull data from across their business into a single tool that can make recommendations and quickly implement solutions.

Energy companies frequently operate in data silos, with critical decisions requiring coordination across a dozen systems, multiple disciplines, and weeks of manual assembly. Quick draws on expertise from industry partners to help users close that gap. It connects directly to customer data sources across core energy workflows — production monitoring, grid operations, asset maintenance, compliance tracking and energy trading. The result is unified access and actionable insights from a single interface.

Quick connects to a customer’s data source and bridges the context needed to help with tasks like scheduling maintenance orders, routing outage workflows, and updating compliance records, helping compress what can often take weeks into hours.

The new energy workflows in Quick include partner integrations from energy experts including Accenture, Bidgely, Dynamic Graphics, Inc., EPAM, Hitachi Digital Services, IBM, MetricsIQ, Minfy Technlogies, Petrabytes, Seeq, Slalom, S&P Global, Tiger Data, wAIw, technology partners like Infosys, and more.