TalksAWS re:Invent 2025 - Turning Complexity into Effortless CX with Amazon Connect (MAM211)

AWS re:Invent 2025 - Turning Complexity into Effortless CX with Amazon Connect (MAM211)

Turning Complexity into Effortless CX with Amazon Connect

Partnership and Approach

  • NT has a 17-year history in the contact center and customer experience (CX) space
  • Focused on building solutions and services to deliver value for clients, not just transactional capabilities
  • Consultative approach based on 40+ years of experience running and operating contact centers
  • Advisory services to understand business requirements and CX maturity, not just features and capabilities

Addressing CX Challenges

  • Legacy infrastructure and tech debt with on-premises/hosted solutions and mainframes
  • Lack of AI and CX skills at scale, despite hype and promise
  • Complexity from multi-vendor, multi-cloud solutions and need for governance, security, and compliance

AWS Portfolio and Engagement Model

  • Advisory services to understand business requirements and CX maturity
  • Professional services for customized, bespoke solutions, not just configuration
  • Managed services to simplify operations, including:
    • Global service desks with local presence
    • Unlimited moves, adds, and changes (MACDs)
    • Synthetic testing and proactive monitoring

AI Agents vs. Human Agents

  • AI agents excel at simple, repetitive, and predictable tasks, replacing traditional IVRs
  • Human agents still critical for handling complexity, empathy, and unpredictable queries
  • Combining AI and human agents, with AI augmenting and supporting human capabilities

AI-Driven Sourcing

  • AI can deliver contact center solutions at a fraction of the cost of human agents
  • Enables onshoring in sensitive industries like finance, healthcare, and public sector
  • Frees up human agents to focus on higher-value, more complex interactions

Innovation and Accelerators

  • Foresight: Real-time speech analytics to enable compliance, coaching, and performance management
  • Agentic AI Communications Gateway: Stitches together voice, AI, and business systems for composable solutions
  • NAMS: Generative AI-powered platform to quickly deploy pre-packaged contact center components

Customer Examples

  • Global African FSI with diverse customer base: Used agentic AI bots for structured and unstructured customer journeys
  • Newer FSI with younger customer base: Leveraged agentic AI to minimize manual filtering and improve self-service
  • European bank: Migrated mature contact center estate to cloud-native, AI-powered solutions

Future Vision: Agentic AI for Contact Center Managers

  • Models to proactively manage SLAs, agent performance, and customer experience
  • Automated decision-making to optimize contact center operations in real-time
  • Enhancing human contact center managers, not replacing them

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