Category: Technical How-to

Introduction Proactive outbound campaigns can transform how Business Process Outsourcing (BPO) operations handle agent schedule tracking. Managing Contact Centre agent schedules across diverse locations, time zones, and contact center platforms is a persistent challenge. By some estimates, supervisors spend up to 20% of their time tracking schedules and sending shift reminders, while agents struggle with […]

1. Introduction When an agent places a call is placed through a quick connect or the number pad using the contact control panel (CCP), the outbound caller ID depends on whether the agent is already on an active call. This blog explains how Amazon Connect Customer selects the caller ID in each scenario and how to […]

Your Amazon Connect Customer contact center measures customer satisfaction (CSAT), but CSAT doesn’t predict whether customers will stay. Research suggests high-effort service interactions are the strongest driver of customer disloyalty. Customer Effort Score (CES) measures how easy it was to get an issue resolved — the strongest predictor of loyalty and churn. Most organizations lack […]

Authentication during chat is a balancing act: require it too early and you lose customers who need quick answers; skip it entirely and you face compliance challenges when conversations shift to account-specific topics. When customers start a chat in Amazon Connect Customer, they might begin with a simple question but then need account-specific assistance that […]

Your Amazon Connect contact center is running at 92% of its concurrent call capacity, and no service quota monitor is watching. The dashboard shows green. Agents are handling calls. Then one more call comes in, and the next 50 callers receive no response. Amazon Connect enforces quotas on more than 300 resource types and API […]

When using Amazon Connect Outbound Campaigns with answering machine detection (AMD), contact center managers often perceive long silence periods before customers connect to agents. This perception frequently stems from measuring agent connection time incorrectly starting the timer from when the call enters the system rather than from when the customer finishes speaking. By anchoring your […]

Learn how to build an automated evaluation pipeline for Amazon Connect AI Agents using DeepEval and Amazon Bedrock to meet Model Risk Management requirements. When you deploy an Amazon Connect Customer AI Agent that manages account operations and routes service requests, it becomes a model subject to formal governance. Before deploying any model that influences […]

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 The Amazon Connect Customer data lake gives contact centers a central, zero-extract, transform, and load (zero-ETL) location to query contact records, agent performance, conversational analytics, and other data types. However, enabling access requires navigating multiple AWS consoles to associate datasets, accept AWS Resource Access Manager resource shares, configure Lake Formation permissions, and create resource link tables using AWS […]

Introduction For NatWest Group, one of the UK’s largest banks, delivering consistent customer experience consistently is both a business priority and a regulatory requirement. Maintaining uninterrupted service across customer experience operations is fundamental to the bank’s ability to meet its business continuity and disaster recovery obligations. NatWest originally deployed its customer experience platform on Amazon […]