Category: Contact Center

Learn how Berlin-based healthcare scale-up ETERNO is building a scalable, AI-driven customer experience to serve thousands of patients daily across its growing network of outpatient care providers and doctors. Target metrics > 80% of patient inquiries successfully resolved by AI agents 24/7 availability for appointment booking and rescheduling reducing up to 50% workload of one […]

Capita is a leading provider of customer experience services for UK public sector organizations and the UK’s first AI enabled Business Process Outsourcer (BPO). Every year, Capita helps a large local council support contacts from 1.6 million residents seeking support for essential services, such as highway maintenance to social care and waste management. The limitations […]

New no-code capabilities enable business teams to rapidly deliver sophisticated AI-powered customer experiences without engineering bottlenecks, combining the flexibility of agentic AI with the reliability enterprises demand.  NLX (nlx.ai) is joining Amazon Connect, accelerating the value customers get from Connect’s agentic AI solution. NLX brings sophisticated conversational AI capabilities, and through this acquisition, you can now deploy AI-powered customer experiences in Connect in weeks rather than months without sacrificing the control and reliability your […]

Every day, Amazon Customer Service handles millions of customer contacts across Amazon and its subsidiaries, spanning multiple regions including North America, Europe, South Africa, and Asia Pacific. Managing contact flows at this scale across multiple Amazon Connect instances to accommodate Retail and Amazon subsidiaries required a scalable, programmatic approach. The team set out to maintain […]

Introduction Building Amazon Connect AI agents presents developers with a familiar challenge: tight timelines meet complex integration requirements. You need to connect multiple backend APIs, implement robust error handling, generate realistic test data, and debug multi-service interactions, all while maintaining code quality and consistency. A proof-of-concept that integrates 10-15 APIs can easily consume 2-3 weeks […]

Today is Groundhog Day, and just as Punxsutawney Phil emerges to forecast the season ahead, industry analysts and enterprise leaders are stepping forward with their predictions for customer experience (CX). Shadows or not, the real question is whether organizations will finally step into the spring of artificial intelligence (AI). As we move into 2026, the […]

Introduction Every customer interaction leaves digital traces that reveal preferences and needs. While businesses collect vast amounts of customer data, most struggle to move beyond basic personalization to understand the ‘why’ behind customer behavior. The key challenge isn’t gathering data—it’s converting these signals into real-time, actionable insights. Whether in retail, airlines, telecom, or entertainment, companies […]

Introduction  Contact center leaders face an increasingly complex challenge: customers expect instant, personalized service across every channel, while human agents juggle multiple systems, knowledge bases, and workflows to resolve issues. Traditional approaches – building custom integrations for each system, training agents on dozens of applications, and manually updating customer records – are time-consuming, expensive, and […]

Organizations have long faced challenges in managing large contact center workforces. One key issue is maintaining data consistency between Customer Relationship Management (CRM) systems and reporting tools. Contact center supervisors face multiple pain points. These include manual data extraction, time-consuming Extract, Transform, and Load (ETL) developing and maintaining processes, and the need for frequent updates […]

Introduction As one of the UK’s leading financial institutions, NatWest Group delivers a wide range of banking services across retail, commercial, and private banking sectors. The bank faced a significant challenge in modernising their contact center operations from their existing legacy platform, in managing their Natural Language Call Steering (NLCS) engine, which needed to process […]