Amazon Quick Suite: The agentic AI application reshaping how work gets done (www.aboutamazon.com)

Amazon announced Quick Suite, an “agentic” AI application designed to be an enterprise-grade AI teammate that connects securely to company data and apps so employees can research, analyze, automate, and act across systems from a single interface. Unlike consumer chat tools, Quick is built to work with sensitive business sources (wikis, intranets, S3, Redshift, Salesforce, Slack, Snowflake, etc.), integrates via OpenAPI/MCP to 1,000+ apps, and promises enterprise privacy (queries not used to train models). It’s been battle-tested internally at Amazon and with customers, turning multi-day projects into minutes and enabling automations that consumer offerings can’t safely handle. Technically, Quick Suite is modular: Quick Index and Spaces aggregate and secure data sources; Quick Research performs deep, cited research using company data plus real-time feeds from 200+ outlets and scored highly on the DeepResearch Bench; Quick Sight provides an agentic BI layer that analyzes documents and databases with natural-language queries; Quick Flows builds simple automations and Quick Automate handles complex, multi-system workflows (including accurate browser automation). Early outcomes include Propulse Lab cutting ticket-handling time by 80%, Kitsa achieving 91% cost savings for clinical-trial scraping, DXC planning a 120k-user roll-out, and Jabil estimating $400k in annual savings—showing how integrated, secure agentic AI can materially accelerate enterprise knowledge work and automation.