The Amazon Connect Podcast

Amazon Connect Talent is changing the hiring equation: instead of letting a resume knock candidates out before they ever speak to a recruiter, it gives frontline and high-volume applicants a real chance to be heard. Ayesha Borker, Vikram Modgil, and Logan Gaffney reveal how Amazon is turning its own hiring science, AI, and Connect’s communications foundation into a screening experience built for scale, fairness, and better outcomes.Ayesha Borker, a principal solution architect specializing in Amazon Connect, has spent eight years helping shape the Connect journey and bringing Talent from concept to market. Vikram Modgil leads worldwide go-to-market for Amazon Connect Talent and brings product-side experience from Amazon Connect and Chime SDK. Logan Gaffney is a senior solutions architect focused on applied AI and communications, supporting public sector use cases and future-facing deployments.You’ll discover how Talent works from the top of the funnel: recruiters upload a job description, AI helps generate interview questions and evaluations, and candidates are assessed through structured, competency-based interviews. The team explains why this is not a sourcing tool, why it’s focused on frontline and high-volume roles, and why the system intentionally avoids resume-based filtering that can miss qualified people.We break down the difference between skills and competency, why that matters for retention and performance, and how the product is designed to test for behavioral evidence rather than keyword matches. Vikram also shares the guardrails behind the experience, including accessibility-aware question design, transcript-based processing, and why the product avoids making hiring decisions for humans.Aisha adds the behind-the-scenes lesson of launching a brand-new category: working backwards from customers, validating the real problem, and resisting the pressure to “just add AI” without solving anything meaningful. Logan pushes the conversation beyond hiring into public sector scenarios, where asynchronous interviews could reduce friction for benefits, licensing, immigration, and other appointment-heavy processes.If you care about AI that actually solves a business problem, not just another flashy demo, this episode is essential listening. It’s especially valuable for recruiting leaders, customer experience teams, and public sector innovators looking to scale access without sacrificing judgment, empathy, or fairness.#Hiring#CustomerService#Leadership#FutureOfWork#Talent#AI#AmazonConnect#AWSConnect#ConnectTalent#talentacquisition #agentichr#workforcetransformation

https://aws.amazon.com/blogs/contact-center/be-the-5-what-we-learned-by-shipping-ai-at-scale/Most AI projects fail for the same reason: teams start with the technology, not the business problem. Brian Dawson and Hannah Bloking reveal why the companies that actually ship to production do something radically different - they work backwards from the customer experience, the data, and the controls they need before they ever reach for a model.The conversation cuts through the AI hype cycle fast. Instead of chasing the latest acronym - RAG, MCP, A2A, and whatever comes next - Brian and Hannah explain why the real unlock is solving a specific business problem with the right mix of generative and deterministic workflows. They share the mistakes that stall deployments, from giant prompts and bad knowledge bases to teams that assume AI will magically fix broken processes.You'll discover:Why "be the five percent" is really about getting AI into production, not just running pilotsHow to decide when an AI experience should be conversational and when it should stay simpleWhy accuracy depends on the last five to ten percent of undocumented human knowledgeHow observability and telemetry expose what customers are really asking forWhy security, legal, and compliance need to be involved early, not at the endHow small, bite-sized releases beat massive AI transformations every timeHannah brings hard-won lessons from shipping AI at scale inside AWS and working directly with Amazon Connect customers. Brian adds frontline perspective from customer deployments around the world, including the patterns that make businesses move faster once they stop trying to force their problems into an LLM. Together, they show how trust, speed, and scale come from clarity - not complexity.If you've been told to "do AI" without a clear plan, or you're trying to turn a promising proof of concept into something real, this episode gives you the framework to avoid the trap. Essential listening for customer experience leaders, contact center teams, product owners, and anyone responsible for making AI actually work in the real world.

Amazon Connect’s New Real-Time Tools for Smarter Contact CentersAmazon Connect is expanding how contact centers report, route work, and manage their teams. In this episode, Douglas and Elias Sayigh break down the latest updates and explain what they could mean for supervisors, administrators, and operations leaders.They cover enhanced analytics—including AI-generated summaries, more detailed metrics, routing data in the analytics data lake, and root cause analysis in preview. They also discuss quality management improvements, such as importing evaluation forms from PDFs with AI, points-based scoring, and expanded language support.The conversation explores workforce management updates like shift bidding and agent-level unplanned shrinkage, as well as operational tools for capacity limits, early-media DTMF support, larger data tables, and more responsive outbound campaigns.If you use Amazon Connect—or want to turn contact center data into faster, more useful decisions—this episode offers a practical overview of what’s new and why it matters.

https://aws.amazon.com/blogs/contact-center/failure-didnt-lose-your-customers-mediocrity-did/https://aws.amazon.com/blogs/contact-center/deflection-is-dead-resolution-is-king/Amazon Connect is shipping fast, but the real story is how customer feedback turns into the features you use next. Abhishek Pandey reveals the process behind product feature requests, voice of the customer, and the global system that helps AWS decide what gets built, what gets prioritized, and what gets unlocked with a workaround today.Douglas sits down with Abhishek Pandey, Worldwide Tech Leader for Applied AI and Solutions at AWS, to unpack how customer ideas move from a solution architect conversation into the product pipeline. If you have ever wondered what happens after you say, “I wish Connect could do this,” this episode shows you the machinery behind it.You’ll discover:How product feature requests are collected, bucketed, and routed across Amazon Connect teamsWhy 90 to 95 percent of new features are driven by customer feedbackHow AWS weighs a single large customer request against themes coming from many accountsThe role of voice of the customer conversations in shaping roadmapsWhy workarounds, GitHub repos, and solution architects often bridge the gap before a feature shipsAbhishek also explains how AWS spots patterns across regions like EMEA, ANZ, and the Americas, and how those signals influence everything from routing and forecasting to newer launches like Amazon Connect Agentic Voices and Agentic CX Designer. He shares how quarterly ideation, PRFAQs, and internal proof of concepts can turn a rough idea into something real when it solves a meaningful customer problem.

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Deflection is Dead. Resolution is King.by Pasquale DeMaio https://aws.amazon.com/blogs/contact-center/deflection-is-dead-resolution-is-king/Discover the latest breakthroughs in Amazon Connect that are transforming customer experiences and operational efficiency. This episode skips the fluff to deliver the real-world impact of new features and strategic insights designed to reshape your contact center mindset.Join Marc and Doug as they unpack updates like the support for interrupt agent flows, expanded capacity planning, advanced observability for AI agents, and the powerful integration of real-time digital screen synchronization. These innovations aren’t just tech talk—they’re solutions that enable you to elevate service, optimize resources, and stay ahead in a fiercely competitive environment.You’ll discover:How the new interrupt agent flow feature allows urgent calls to cut in, even when agents are at maximum capacity—crucial for healthcare, auto repairs, and emergency services.The expanded forecasting capabilities that now incorporate tasks, emails, and long workflows, making enterprise-wide resource planning precise and practical.How trace data and real-time visibility in AI interactions empower troubleshooting, improve dependability, and boost customer trust.The strategic shift from mere containment to true resolution, reducing frustration and long-term customer loss.The significance of proactive, personalized service—delivering delight rather than just deflection—and why it’s a must for modern contact centers.Insights into the upcoming Agentic CX Designer and how blending deterministic with generative models unlocks new conversational possibilities.The role of Voice Plus, rebranded as LiveSync, in creating multimodal, synchronized voice and screen experiences that are redefining self-service.Why the AI and speech model evolution ensure global organizations can support multiple languages and regional nuances seamlessly.The critical need for organizations to embrace these innovations now—before competitors leverage them to leave your brand behind.Expect a straightforward, impact-focused discussion that cuts through the noise, giving you actionable intelligence to implement today. Whether you’re leading a small team or managing enterprise operations, this episode is essential listening for anyone serious about customer experience and operational excellence in the AI age.If you’re ready to move from reactive to proactive, from cost-cutting to value-creating, this episode shows you how to future-proof your contact center with the latest in AI, automation, and customer obsession. Be prepared to rethink what’s possible—and to stay ahead of the curve.Note: Featured insights are backed by real-world examples from industry leaders, strategic frameworks, and the latest Amazon Connect releases. Perfect for contact center leaders, developers, and product managers committed to cutting-edge CX transformation.

Most organizations undervalue the true potential of conversational AI—until now. Jim Kraeutler, a product manager at Amazon Connect, exposes how innovative solutions like NLX are revolutionizing customer experiences by blending natural language understanding with deterministic precision. Discover the game-changing approach that seamlessly integrates AI, reduces operational costs, and elevates customer satisfaction, all while navigating the complex challenges of hallucinations and accuracy in voice interactions.In this episode, we break down:How NLX’s architecture transforms voice self-service by combining generative AI with rule-based precision, enabling scalable, natural conversations.Why blending deterministic capabilities with the flexibility of AI is the future for regulated industries like banking and healthcare.The role of real-time synchronization between web and voice interactions, empowering customers to switch channels smoothly.The truth about hallucinations in large language models and strategies to mitigate their impact in customer communications.How major brands like United Airlines and Saks Fifth Avenue are delivering faster, smarter, and more personalized experiences—sometimes in weeks, not years.You’ll discover why understanding these emerging technologies is essential for staying ahead in competitive, customer-centric markets—and how organizations can leverage AI to solve problems, not create new ones. Whether you’re a CTO, customer experience leader, or AI enthusiast, this episode reveals the pragmatic, actionable steps to accelerate innovation without sacrificing safety or compliance.Guest Jim Kraeutler is a product manager at Amazon, known for building intuitive voice self-service solutions that bring real business value. His deep expertise in AI and customer experience makes this a must-listen for anyone aiming to unlock the future of conversational technology.Get ready to rethink what’s possible in customer interactions. Hit play and learn how leading organizations are turning AI challenges into competitive advantages with a pragmatic, strategic approach.

In this episode, we explore the recent transformations in Amazon Connect, including its expansion into a family of solutions, the strategic acquisition of NLX, and the future of AI-driven customer experience. Our expert, Iftach Bashan, shares insights on how these innovations are shaping the industry and delivering faster, more consistent outcomes for customers.Keywords:#AmazonConnect #AI #NLX #customerexperience #AWS #contactcenter #AIsolutions #digitaltransformation #customeroutcomesKey Topics:Amazon Connect's evolution into a family of solutionsThe strategic acquisition of NLX and its impactThe role of AI in transforming customer experience

Most companies are rushing headlong into AI without a clear strategy for delivering real business value — are you? In this episode of the Amazon Connect podcast, AI expert and AWS Solution Architect Ayesha Borker shares how forward deploy bridges the gap between cutting-edge AI technology and practical, human-centric solutions. Discover why successful AI projects hinge on understanding humans, defining measurable outcomes, and embracing iteration at every step.We break down the concept of forward deploy – how embedding engineers directly into customer environments accelerates AI adoption, reduces risk, and builds trust. You’ll learn why starting with the problem and focusing on business outcomes is key, rather than chasing the latest AI buzzwords. Aisha shares real-world insights into managing expectations, measuring success, and avoiding the trap of endless fine-tuning — questions like, "When is enough good enough to go live?" are explored in depth.With discussions on critical topics like observability, defining scope in fast-changing AI landscapes, and balancing automation with human touch, this episode is essential for leaders, technologists, and contact center decision-makers aiming to leverage AI responsibly and effectively. You'll discover proven frameworks to test, validate, and improve AI in real time, avoiding costly mistakes and earning customer trust along the way.Perfect for anyone grappling with AI implementation, this episode offers concrete strategies to accelerate your journey from concept to production while keeping humans front and center. Whether you’re just starting out or navigating complex deployment challenges, Aisha's practical advice will reshape how you view AI's role in your business.Get ready to rethink your AI approach — it’s not just about faster tech, but smarter, human-first solutions that deliver real value. Don’t miss this deep dive into the future of contact centers and enterprise AI, where speed, agility, and human trust collide.#contactcentre #ai #aiagents  #AmazonConnect #AWS

Most companies struggle to bring AI-driven healthcare solutions to life — but Amazon Connect Health is changing the game. In this episode, Sunil Menon joins us to reveal how AWS is empowering healthcare providers with purpose-built AI agents that reduce appointment times, improve patient engagement, and streamline clinical workflows—all while ensuring top-tier security and compliance.Discover how Amazon Connect Health’s innovative ambient listening agents enable real-time insights during patient interactions, helping doctors make faster, more accurate decisions. We break down how AI-powered patient verification, autonomous coding, and point-of-care assistants are transforming health tech, reducing costs, and increasing staff efficiency across hospitals and clinics worldwide.We explore real-world success stories from Australia, the US, and the UK, where hospitals are saving hours per doctor each week and cutting appointment scheduling times by over 60 seconds. Learn why healthcare organizations are now demanding scalable, compliant AI solutions that integrate seamlessly with existing EHR systems, and how Amazon is setting a new standard for patient-centered care through AI.If you're a healthcare innovator, a health tech developer, or simply curious about the next frontier in AI-powered medicine, this episode is essential listening. Amazon Connect Health isn’t just a platform — it’s the future of smarter, faster, more compassionate healthcare.Guest Sunil Menon is Head of Healthcare & Life Sciences at AWS, leading the development of AI solutions that are revolutionizing patient engagement and clinical workflows worldwide.