Connect Customer now supports default Step-by-Step Guides for After Contact Work (ACW), enabling administrators to automatically launch a guide when an agent enters the ACW state. This eliminates the need for agents to manually navigate to the correct application during wrap-up, standardizing post-contact workflows such as logging disposition codes, updating cases, and completing follow-up actions. Organizations can improve consistency, reduce errors, and accelerate agent productivity across contact center operations.

This feature is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (London), and . For more information, see Enable smart default guides for ACW.

Connect Customer Outbound Campaigns now detects customer time zones using all phone numbers and addresses on a customer profile, not just the primary contact fields. When a profile’s contact information spans multiple time zones, the system delivers messages only during hours that fall within the configured window across every detected time zone, and skips profiles when no overlap exists. For example, if a customer has a mobile number in Eastern time and a business number in Pacific time with a 9 AM–5 PM delivery window, messages are sent only between 12–5 PM ET when both time zones overlap.

This capability is available in all AWS Regions where Connect Customer Outbound Campaigns is offered at no additional cost.

Connect Customer Cases now automatically reassociates cases when duplicate customer profiles are merged through Identity Resolution in Customer Profiles. When the same customer has multiple profiles—such as when they reach out through different channels or provide different contact details—Identity Resolution detects and merges those duplicates, and Cases brings all associated cases together under the unified profile. Agents see a complete case history for each customer without searching across profiles or piecing together history manually.

This feature is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town).

Connect Customer now provides audit logging for agent activity status changes made through analytics dashboards to AWS CloudTrail. This enhancement provides visibility into who changed agent activity status and when changes occurred, helping contact centers maintain clear audit trails. For example, if a supervisor changes an agent’s status from “Available” to “Break,” this action is now captured in AWS CloudTrail with details including the supervisor’s identity, timestamp, and the specific status change.

This feature is available in all AWS commercial and AWS GovCloud (US) regions where Connect Customer is offered.

Connect Customer now provides eight new metrics to measure and improve AI agent performance, including goal success rate, faithfulness score, and tool selection accuracy. These metrics offer visibility into the quality of AI-driven customer interactions, enabling measurement and continuous improvement of AI agent outcomes. With this launch, you can monitor whether AI agents successfully resolved customer requests, assess faithfulness and detect contextual hallucinations, evaluate tool selection and use accuracy, and capture customer feedback through thumbs up/down ratings when enabled.

You can access these new metrics through Connect Customer’s AI Agent Performance dashboard, or through the GetMetricDataV2 API and zero-ETL data lake for custom reporting.

This feature is available in all AWS Regions where Connect Customer AI Agents is supported.

Amazon Connect Outbound Campaigns now allows you to dial contacts in configurable priority order based on up to 10 profile attributes for voice campaigns and voice activities in journeys. This helps you focus agent time on the most valuable customers or time-sensitive opportunities, improving campaign effectiveness and conversion rates. Initial dial attempts always take precedence over reattempts, ensuring your priority order is maintained throughout campaign execution.

To get started, configure sort attributes when building segments in Amazon Connect Customer Profiles. For more information, see Outbound Campaigns best practices.

Amazon Connect Outbound Campaigns now allows you to refresh campaign segments as frequently as every hour, reduced from the previous minimum of 24 hours. This enables campaigns to reach newly eligible customers throughout the day rather than waiting for the next daily run. For example, a collections team can start outreach to newly delinquent accounts the same afternoon they are flagged, and a multi-step journey can enroll new customers throughout the day instead of in a single daily batch.

This capability is available in all AWS Regions where Amazon Connect Outbound Campaigns is offered at no additional cost.

Amazon Connect now enables you to automatically pass customer context to personalize self-service experiences from the moment a call connects. When a customer initiates a call from a website, mobile app, or notification link, you can automatically pass context—such as customer IDs, session references, and campaign codes—into the call. AI agents use this context to recognize the caller, understand the reason for the call, take action, and resolve issues without requiring callers to re-identify themselves or repeat why they are calling.

This feature is available in all AWS Regions where Amazon Connect is available. For more information, see the Amazon Connect Administrator Guide.

Connect Customer now supports the use of flow modules across all Connect flows, allowing you to reuse common logic and functionality beyond inbound customer experiences. For example, you can now use a module to share information about a customer’s recent transactions in an agent whisper flow, preparing the agent with relevant details and using functionality that was previously only available as part of inbound flows.

Additionally, you can now use flow modules within other modules, enabling you to build complex logic by stitching together pre-built intermediary steps under a single module. For example, a credit card eligibility module can invoke other modules that check credit scores, verify income, and review payment history before making a final determination.

For more information, see Flow modules for reusable functions in Connect Customer.

Amazon Connect increases attachment file sizes and adds custom file types

Amazon Connect now supports attachment file sizes up to 100 MB for chat, cases, and tasks, up from the previous 20 MB limit. Administrators can enable these higher limits and configure custom file extensions for attachments across chat, email, cases, and tasks through the Amazon Connect admin website or Amazon Connect APIs.

For more information, see Enable Attachments.

Supervisor agent activity status changes now logged to AWS CloudTrail

Amazon Connect now provides audit logging for agent activity status changes made through analytics dashboards to AWS CloudTrail. This enhancement provides visibility into who changed agent activity status and when changes occurred, helping contact centers maintain clear audit trails. For example, if a supervisor changes an agent’s status from “Available” to “Break,” this action is now captured in AWS CloudTrail with details including the supervisor’s identity, timestamp, and the specific status change.

This feature is available in all AWS commercial and AWS GovCloud (US) regions where Amazon Connect is offered.

Eight new metrics to measure and improve AI agent performance

Amazon Connect now provides eight new metrics to measure and improve AI agent performance, including goal success rate, faithfulness score, and tool selection accuracy. These metrics offer visibility into the quality of AI-driven customer interactions, enabling measurement and continuous improvement of AI agent outcomes. With this launch, you can monitor whether AI agents successfully resolved customer requests, assess faithfulness and detect contextual hallucinations, evaluate tool selection and utilization accuracy, and capture customer feedback through thumbs up/down ratings when enabled.

You can access these new metrics through Amazon Connect’s AI Agent Performance dashboard, or through the GetMetricDataV2 API and zero-ETL data lake for custom reporting.

This feature is available in all AWS Regions where Amazon Connect AI Agents is supported.

Outbound Campaigns now supports contact priority ordering

Amazon Connect Outbound Campaigns now allows you to dial contacts in configurable priority order based on up to 10 profile attributes for voice campaigns and voice activities in journeys. This helps you focus agent time on the most valuable customers or time-sensitive opportunities, improving campaign effectiveness and conversion rates. Initial dial attempts always take precedence over reattempts, ensuring your priority order is maintained throughout campaign execution.

To get started, configure sort attributes when building segments in Amazon Connect Customer Profiles. For more information, see Outbound Campaigns best practices.

Outbound Campaigns now supports hourly segment refresh

Amazon Connect Outbound Campaigns now allows you to refresh campaign segments as frequently as every hour, reduced from the previous minimum of 24 hours. This enables campaigns to reach newly eligible customers throughout the day rather than waiting for the next daily run. For example, a collections team can start outreach to newly delinquent accounts the same afternoon they are flagged, and a multi-step journey can enroll new customers throughout the day instead of in a single daily batch.

This capability is available in all AWS Regions where Amazon Connect Outbound Campaigns is offered at no additional cost.

Automatically pass customer context into calls for AI-powered self-service

Amazon Connect now enables you to automatically pass customer context to personalize self-service experiences from the moment a call connects. When a customer initiates a call from a website, mobile app, or notification link, you can automatically pass context—such as customer IDs, session references, and campaign codes—into the call. AI agents use this context to recognize the caller, understand the reason for the call, take action, and resolve issues without requiring callers to re-identify themselves or repeat why they are calling.

This feature is available in all AWS Regions where Amazon Connect is available. For more information, see the Amazon Connect Administrator Guide.

Flow modules now work across all flow types and within other modules

Amazon Connect now supports the use of flow modules across all Connect flows, allowing you to reuse common logic and functionality beyond inbound customer experiences. For example, you can now use a module to share information about a customer’s recent transactions in an agent whisper flow, preparing the agent with relevant details and leveraging functionality that was previously only available as part of inbound flows.

Additionally, you can now use flow modules within other modules, enabling you to build complex logic by stitching together pre-built intermediary steps under a single module. For example, a credit card eligibility module can invoke other modules that check credit scores, verify income, and review payment history before making a final determination.

For more information, see Flow modules for reusable functions in Amazon Connect.

Amazon Connect now provides case data in analytics data lake

Amazon Connect now provides case data in the analytics data lake, making it easier for you to generate reports and insights from this data. With case data available alongside other Amazon Connect analytics, you can use Amazon Athena and Amazon QuickSight to build custom reports and analyze trends such as case volume by type, case handling across agent shifts, or contact sentiment across cases without building and maintaining complex data pipelines.

Amazon Connect announces the preview of an AI-powered assistant that enables contact center managers to get instant answers to operational questions using natural language. You can query across 150+ Amazon Connect metrics—including agent scheduling, self-service experience, and performance evaluations—with historical data for all of these, and receive results in seconds, eliminating hours of manual data gathering. The assistant can also diagnose underlying issues, such as identifying which queues are at risk of missing service level targets and recommending specific recovery actions.

This feature is available as a preview. To request access, contact your AWS account team or an AWS Representative.

Amazon Connect now supports conversational analytics for email contacts, enabling contact center managers to automatically categorize emails, redact personally identifiable information (PII), and generate contact summaries. This allows you to quickly identify emerging trends, better maintain compliance by protecting sensitive information, and reduce the time spent reviewing agent performance.

To enable this feature, add the Set recording, analytics and processing behavior block to your flows before an email contact is assigned to your agent or sent to your end customer. You can customize which PII types to redact, choose whether redacted content shows specific PII type indicators (e.g., [SSN]) or generic markings ([PII]), opt to store both original and redacted versions in separate storage, and enable contact summaries.

Amazon Connect conversational analytics is available in the US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) regions. For more information, see the help documentation.