Scaling agentic AI across the enterprise with Amazon Quick

Key takeaways:

• Many companies are struggling with disconnected AI tools and workflow, lack of access to data, and business value that doesn’t often spread beyond one team.
• Amazon Quick combines deterministic (rules-based) and non-deterministic (AI) in a single, low-code agentic platform with human-in-the-loop throughout.
• PwC is helping organizations across industries leverage Amazon Quick, including two large enterprises based in the US.
• The results are concrete. A financial services CIO’s investment assessment dropped from weeks or months to days, and a tech company’s sales team is cutting an administrative load that consumed over 60% of sellers’ days.
• PwC pairs Quick with workforce readiness, governance, and business value realization so AI scales beyond isolated wins.
  

Organizations have an abundance of AI tools, but they have a workflow problem: disconnected tools, lack of access to data, and productivity gains that may not travel past the team that found them. Amazon Quick is built to close that gap, and PwC moved early—as a Global System Integrator Partner and one of its earliest enterprise adopters. We’re running Quick inside our own flow of work before bringing it to clients.

PwC is one of the earliest enterprise adopters of Amazon Quick and a certified Global Systems Integrator (GSI) Partner. Through our deployment of Amazon Quick at two large organizations, spanning both complex orchestration use cases and everyday productivity tasks, we're helping leaders across sales, finance, supply chain and IT apply AI, analytics and automation to real work to scale agentic AI across the enterprise.

Amazon Quick is an AI assistant built for work. It brings AI, agents, research, analytics, automation, and workflow together into a single AWS solution, with natural-language, no-code, and low-code capabilities that put real automation within reach of people who’ve never written a line of code.

What sets Quick apart for PwC is how it blends two things that usually sit in tension: the flexibility of generative AI (non-deterministic) and the consistency of rules-based automation (deterministic), with human-in-the-loop built in throughout. That combination is what lets Quick move AI beyond answering questions and into taking action—pulling data, flagging issues, routing work, and completing tasks across the flow of work.

PwC is supporting customers to deploy Quick in two ways: as an enterprise agentic orchestration solution for complex, high-value use cases, and as an everyday productivity tool that lets knowledge workers bring AI into the work they already do. That experience enable PwC to have a close-up view of where agentic AI creates real value, where adoption stalls, and how technology, governance and workforce change need to move together—not in sequence—for AI to scale past the pilot stage.

Two client engagements show what this looks like in practice:

• At a US-based financial services organization, the CIO sought help from PwC to drive more informed decisions about where to invest across the organization's IT capabilities. Leveraging Amazon Quick, PwC built a self-service, agentic AI solution that analyzes thousands of documents and survey inputs, assesses capabilities against a consistent maturity framework, identifies and prioritizes gaps, and recommends the next areas for investment based on factors such as business priorities, risk, compliance and industry direction. The result is an evidence-backed, living roadmap the CIO’s team can refresh on demand, helping leadership focus investments across people, process and technology while reducing an assessment process that previously took weeks or months to just days.
• A similar pattern is playing out on the commercial side, at one of the world's largest technology companies’ B2B sales organization. There, sellers were spending more than 60% of their day on administrative tasks, toggling across 16 or more systems daily and losing over 20 hours a month to context switching. PwC is using Quick to build agentic workflows that cut that administrative load and free sellers to focus on meeting with customers and selling.

Quick’s capabilities can go far beyond these two examples. Across business functions—including how PwC itself is deploying Quick to accelerate productivity and drive business outcomes—, Quick can help streamline processes in a range of ways: pulling information from connected applications, tracking key indicators across systems, building dashboards, routing information to the right reviewer automatically, and flagging critical gaps where technology is hindering business growth.

Cost and performance pressure aren't going away, and most organizations don’t need another AI pilot. They need a path from pilot to practice. That’s where PwC’s role comes in: identifying where agentic AI can create value for a specific organization, and building the integration, governance, and workforce readiness needed to get it there.

By combining hands-on experience with Amazon Quick, broader AI and automation capabilities, and lessons from our own workforce transformation, PwC helps clients move past isolated wins and scale AI as a genuine capability, not a side project.

If your organization is weighing how to move agentic AI from experimentation to everyday use, PwC’s AWS Alliance team can help you find where to start.