ACP: The Amazon Connect Podcast

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This week we deep dive into call recording in Amazon Connect, covering how recording evolved from expensive, tape-based systems into ubiquitous digital recordings driven by compliance needs like PCI, HIPAA, GDPR, and financial regulations. 
We discuss how most recordings historically went unreviewed, but AI transcription and analytics, such as Amazon Connect Contact Lens, now make it feasible to analyse 100% of calls for transcripts, sentiment, topics, summaries, compliance flags, evaluations, and structured reporting via data lakes.
We also highlight risks around governance, third-party AI, and the importance of PII redaction (including new screen recording redaction capabilities). 
The episode clarifies retention: audio in S3 isn’t deleted by Connect, but contact records become unsearchable after two years unless customers build indexing/search solutions. 
Finally, we discuss migration options and new AWS APIs enabling import of legacy recordings into Connect with conversational analytics, including constraints, quotas, and pacing considerations.
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We recap the two-day Amazon Connect Customer Community event in London, noting that the agenda and partner conversations were overwhelmingly focused on AI, especially agentic AI, rather than traditional contact center topics.
We discuss workshops on setting up agentic AI and automating evaluations/quality monitoring, emphasizing that while building an agent can be fast, ongoing monitoring, measurement, and business change are critical.
Key themes from sessions and keynotes include AI agents evolving from rigid chatbots into collaborative coworkers that may orchestrate multiple agents, the provocative idea that an “AI boss” could arrive before an AI colleague, and “machine customers” where an AI acts on behalf of users and selects the most efficient experience. 
We highlight strong AWS investment signals, the value of in-person community access, and the urgency for organizations to start now.
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Amazon Connect Forecasting, Capacity Planning & Scheduling (FCS) Explained — Native WFM, Agent Self-Service, Data Lake & Notifications
Tom Morgan and Alex Baker welcome Pavan Dusanapudi, a senior architect on the Amazon Connect team, to discuss Amazon Connect Forecasting, Capacity Planning, and Scheduling (FCS) and how it compares to workforce management.
 Pavan explains how FCS uses historical contact data and ML/AI to forecast volumes, plan staffing, and optimize schedules, emphasizing native, one-click enablement versus lengthy third-party WFM integrations. They cover agent-focused capabilities in Amazon Connect workspaces such as schedule viewing, overtime offers, time-off requests, and shift exchanges, plus a new schedule/activity notification feature using the Connect rules engine with email, tasks, and EventBridge destinations. 
The episode also highlights Amazon Connect Data Lake access for FCS data and use cases like adherence, payroll reporting, shift rotation equity, and scheduling metrics, and recommends piloting FCS in one business unit with available funding options and a 90-day free trial.
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Tom and Alex welcome John Ing, freelance Amazon Connect consultant and founder of the independent Amazon Connect user group, to discuss the group’s rapid growth over two years, its community-led agenda, and why smaller, Chatham House Rules-style events enable candid sharing and practical problem-solving.
John compares Connect community dynamics across the UK, Australia, and the US, noting similar challenges but greater scale and regional “clusters” in America that may require multi-city events. He outlines the difficulty of funding events while preserving independence and keeping attendance free.
The conversation also covers AWS’s recent Amazon Connect rebranding, speculation on broader strategy beyond contact centers, and where organizations are on agentic AI adoption—mostly experimentation and POCs, with production limited due to testing, observability, and risk concerns—before talking about the upcoming user group even in London on June 3 - register at tacug.org.
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In an unplanned “emergency” episode of the Amazon Connect Podcast, host Tom Morgan, co-host Alex Baker, and AI agent co-host Aria recap AWS Summit London and discuss two major announcements that reshape how they talk about Amazon Connect: AWS’s acquisition of NLX and the “What’s Next with AWS” event in San Francisco.

They note the increased visibility and buzz around Amazon Connect at the London summit, then unpack NLX as a low/no-code visual builder for conversational AI flows, including examples cited like United Airlines deploying on Connect faster than expected, plus questions about integrations, platform agnosticism, and whether AWS is acquiring talent.

They then explain AWS redefining Amazon Connect as a four-product family—Amazon Connect Customer (the original platform), Health, Decisions, and Talent—framed around “humorphism,” and debate implications, bias risks in AI-led hiring, ecosystem impacts for partners, and the growing need for testing and governance of AI agents.
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