Customer experience transformation agents
PwC Australia · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Customer Experience Transformation Agents
Who is it for? This service is designed for customer-centric organisations looking to drive loyalty, retention, and personalised engagement at scale. Typical stakeholders include: Chief Customer Officers / Heads of CX: Focused on redesigning engagement from reactive service to proactive, personalised experiences. Marketing & Loyalty Leaders: Seeking deeper behavioural insights and more contextual interventions across the customer lifecycle. Digital Product & CRM Owners: Wanting to operationalise real-time customer signals in apps, platforms, and support journeys. Customer Intelligence & AI Teams: Looking to enrich journey orchestration and automation with LLM-driven signal interpretation. The solution is designed to run entirely on AWS utilising the following AWS services:
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Amazon S3
Amazon Bedrock
Amazon DynamoDB
Amazon OpenSearch Service
Amazon ECR
Amazon ECS / AWS Fargate
How Does It Work?
Experience Transformation Agents: Core Capabilities Builds on inputs such as: Digital telemetry (clickstreams, session data, app usage) Transaction logs and behavioural event streams CRM and profile data (segments, preferences, journeys) Support interactions, voice of customer, and social sentiment Policies, eligibility rules, and strategic objectives The agents operate as follows: Listener Agents Create and maintain personalised listening rules per customer profile and context. Operate at high frequency to detect real-time behaviours, anomalies, and intent drift. Continuously capture micro-signals across channels (e.g. pauses, hesitations, retries, silent drop-offs). Analyse Agents Enrich raw signals with semantic interpretation, combining context (e.g. time of day, channel, device) and historical patterns. Apply LLM-based reasoning to infer intent, urgency, friction points, and emotional tone. Distinguish routine vs goal-critical behaviours for prioritised treatment. Triage Agents Evaluate next-best-actions using a triad of inputs: Business policy and compliance Customer journey stage and lifecycle value Inferred goal alignment and urgency Trigger interventions (offers, nudges, human outreach) based on goal-fulfilment logic, not just reactive response.
Highlights
Highlighted by the publisher on AWS Marketplace.
VIP-Level Listening at Scale – Dynamic, profile-aware listening rules make every customer feel seen and understood. Semantic Signal Enrichment – Transforms noise into meaning by embedding context and historical memory. Goal-Based Actioning – Moves beyond reactive next steps to purposeful, journey-aligned interventions. Proactive Journey Influence – Anticipates needs and surfaces optimal touchpoints before customers even ask.
Agent build and provenance
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Sources
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