European Investor
22 Oct 2026, 15:59
Amazon Quick Gains Enterprise Traction as PwC Expands Agentic AI Deployments
Amazon Web Services is expanding the enterprise use of Amazon Quick, its low-code agentic AI platform, with PwC deploying the technology across large organizations in financial services and technology.
Amazon Quick combines generative AI with rules-based automation in a single platform, allowing companies to connect agents, analytics, research and workflow automation while keeping humans involved in key decisions. The platform is designed to address a common enterprise problem: AI tools that remain disconnected from operational data and fail to scale beyond individual teams.
PwC, an early enterprise adopter and certified AWS Global Systems Integrator partner, is using Quick both internally and with clients. The firm said its deployments focus on two areas: complex enterprise orchestration and everyday productivity tools for knowledge workers.
At a large U.S. financial services organization, PwC used Quick to build an agentic system that analyzes thousands of documents and survey responses, evaluates IT capabilities, identifies gaps and recommends investment priorities. According to PwC, the process reduced an assessment that previously required weeks or months to just days.
At a major technology company, PwC is using Quick to automate sales workflows after finding that sellers spent more than 60% of their workday on administrative activities and moved across at least 16 systems daily. The new agentic workflows are designed to reduce that burden and shift more employee time toward customer-facing work.
Quick can also connect data from enterprise applications, monitor business indicators, build dashboards, route information to reviewers and flag operational gaps. PwC said successful deployment depends not only on the technology but also on governance, workforce readiness and integration with existing business processes.
The initiative strengthens AWS’s push into enterprise agentic AI, positioning Amazon Quick as a platform for moving AI beyond isolated assistants and pilots into broader operational workflows.
Amazon Web Services is expanding the enterprise use of Amazon Quick, its low-code agentic AI platform, with PwC deploying the technology across large organizations in financial services and technology.
Amazon Quick combines generative AI with rules-based automation in a single platform, allowing companies to connect agents, analytics, research and workflow automation while keeping humans involved in key decisions. The platform is designed to address a common enterprise problem: AI tools that remain disconnected from operational data and fail to scale beyond individual teams.
PwC, an early enterprise adopter and certified AWS Global Systems Integrator partner, is using Quick both internally and with clients. The firm said its deployments focus on two areas: complex enterprise orchestration and everyday productivity tools for knowledge workers.
At a large U.S. financial services organization, PwC used Quick to build an agentic system that analyzes thousands of documents and survey responses, evaluates IT capabilities, identifies gaps and recommends investment priorities. According to PwC, the process reduced an assessment that previously required weeks or months to just days.
At a major technology company, PwC is using Quick to automate sales workflows after finding that sellers spent more than 60% of their workday on administrative activities and moved across at least 16 systems daily. The new agentic workflows are designed to reduce that burden and shift more employee time toward customer-facing work.
Quick can also connect data from enterprise applications, monitor business indicators, build dashboards, route information to reviewers and flag operational gaps. PwC said successful deployment depends not only on the technology but also on governance, workforce readiness and integration with existing business processes.
The initiative strengthens AWS’s push into enterprise agentic AI, positioning Amazon Quick as a platform for moving AI beyond isolated assistants and pilots into broader operational workflows.
