This category uses AI to improve call handling, routing, transcription, summarization, and agent support in contact centers. It helps organizations manage customer communications more efficiently and consistently.
Use cases
40
Examples
40
Industries
12
Timeline
24 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
34 cases documented across 37 months (Jul 23 – Jul 26), peaking at 7 in May 2026.
AI Use Cases Hub
6 earlier cases before Jul 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
3.5Innovativeness3.5/5Advanced3.5/5 - Advanced. More advanced than a simple contact-center upgrade because it combines AI transcription, summarization, agent assistance, and automated QA inside a unified omnichannel workspace. It is still a managed AWS contact-center deployment rather than a novel or multi-model architecture, so it fits the upper middle of the scale. Compared with recent differentiated AWS contact-center cases, it is similar in pattern and outcome scope.
Tower Insurance, a New Zealand insurer serving about 300,000 customers, modernized its contact center to replace fragmented tools and reduce swivel-chair work for agents.The company implemented a unified AI-powered omnichannel platform with Amazon Connect Customer and Amazon Bedrock, adding call transcription and summarization, near real-time agent assistance, and generative AI evaluation forms.Tower and Deloitte ran the work through a Business Value Realization program and a 10-week AI sprint, then expanded the platform to email and campaign capabilities.
2.7Innovativeness2.7/5Differentiated2.7/5 - Differentiated. This is a conventional but well-executed cloud contact center modernization using managed AWS services; it is more advanced than a basic migration because it combines analytics, LLM routing, and agent assist, yet it is still similar to recent low-to-mid 2s AWS contact-center cases.
HCLTech modernized its legacy, on-premises contact center environment on AWS to support secure omnichannel service, faster development, and AI-enabled agent support.The company moved from fragmented systems to a single cloud environment using Amazon Connect, adding Contact Lens analytics, Amazon Bedrock-based routing, and Amazon Q in Connect for agent assistance.
2.5Innovativeness2.5/5Differentiated2.5/5 - Differentiated. Compared with recent contact-center cases, this is a conventional cloud contact-center migration with some customization and future AI evaluation, but not a novel agentic or model-centric design.
Citizens Advice selected Accenture to migrate its contact center to Amazon Connect to improve accessibility and provide a reliable, scalable platform for innovation.The migration integrated over a dozen services, multiple local offices, thousands of users, and over 200 phone numbers into a new omnichannel contact center.The organization customized the agent experience with a unified portal and is evaluating Contact Lens and Amazon Q in Connect for future AI-enhanced contact center capabilities.
2.8Innovativeness2.8/5Differentiated2.8/5 - Differentiated. This is a pragmatic AWS contact-center modernization with adjacent cloud migration and IoT app development; compared with recent higher-novelty agentic or multi-service AI cases, the core pattern is standard enterprise transformation rather than advanced AI architecture.
UNOX, an Italian professional oven manufacturer, needed a scalable contact center after its on-premises system lacked KPI visibility and caused customers to hang up before being answered.The company modernized customer service on AWS and then expanded into broader cloud and data-driven innovation.
2.9Innovativeness2.9/5Differentiated2.9/5 - Differentiated. This is a practical enterprise contact-center and workflow modernization centered on Dynamics 365 and Copilot Studio, similar to other Microsoft customer stories in the 2-3 range; the custom drafting/review agents add some differentiation but not a fundamentally novel architecture.
After merging Sirva and BGRS, the combined global mobility business was running on multiple systems, including Zendesk and other CRMs, which limited unified visibility into service performance, SLA measurement, response quality, and workload across service lines.Sirva deployed Dynamics 365 Contact Center across its global operations in about 90 days and used Microsoft Copilot Studio to build custom agents that support relocation consultants.The new platform gives the organization a single service foundation with structured workflows, AI-assisted response drafting, response review, and broader reporting through Microsoft tools.
3.8Innovativeness3.8/5Advanced3.8/5 - Advanced. This is more advanced than a basic assistant because it combines a centralized conversational data platform, cross-channel memory, automated playbooks, and real-time coaching at very large contact-center scale; it is still a domain-specific enterprise deployment rather than a novel frontier system.
TELUS Digital, part of TELUS, modernized customer experience operations for telecommunications support across chat, voice, and video.The company used BigQuery, Gemini Enterprise for CX, Gemini Enterprise Agent Platform, and Sensitive Data Protection to ingest and analyze 22 million annual calls, preserve conversational context across channels, generate real-time playbooks, and coach frontline staff.
2.6Innovativeness2.6/5Differentiated2.6/5 - Differentiated. This is a practical multi-workflow Microsoft AI deployment, but it uses relatively standard patterns: compliance call monitoring, a coaching assistant, and vision-based document automation. Compared with recent similar finance compliance and contact-center cases, it is incremental rather than novel.
SCBX Group, a vehicle title loan provider and SCBX Group member in Thailand, uses Microsoft AI to improve contact center compliance and field operations.The company monitors 100% of contact center calls for regulatory compliance using Azure OpenAI Service, provides a 24/7 AI coaching agent for field loan officers via Azure AI Foundry, and automates document classification, signature verification, and vehicle collateral valuation with Azure AI Vision.
3.2Innovativeness3.2/5Differentiated3.2/5 - Differentiated. This is a large-scale cloud modernization with a customer-facing assistant, but the AI element appears to be a pragmatic real-time assistant rather than a novel AI architecture. Compared with recent AWS assistant and migration cases scored around 3.1-3.2, it fits the same differentiated-but-not-breakthrough band.
Capital One completed an eight-year migration from on-premises data centers to AWS and re-architected its banking platform around cloud-first operations.The company built most of its cloud applications from the ground up and used AWS services to support real-time customer experiences, including the Eno intelligent assistant and Amazon Connect Customer for contact center support.
3.1Innovativeness3.1/5Differentiated3.1/5 - Differentiated. The core migration work is a solid but fairly standard AWS modernization; the added Bedrock travel assistant is a pragmatic customer experience enhancement rather than a frontier AI architecture. Compared with recent Bedrock deployments around 4.0, this is less novel because the article mixes infrastructure migration with a straightforward chatbot use case.
Iberia migrated its customer-facing website and wider IT infrastructure to AWS with virtually zero disruption.After the migration, Iberia added a generative AI travel assistant chatbot in the Mi Iberia section to provide personalized trip recommendations based on customer profiles and preferences.The source also lists AWS Countdown Premium, Amazon EKS, Amazon RDS, and Amazon Bedrock as AWS services used.
2Innovativeness2/5Incremental2/5 - Incremental. This is a practical production migration to a managed omnichannel contact center with analytics, but it is a fairly common cloud contact-center modernization pattern compared with recent AWS cases; it lacks the deeper agentic or novel AI architecture seen in higher-scoring examples.
Intuit uses Amazon Connect Customer to power an integrated customer contact center providing voice, web, chat, and messaging services to millions of customers.The company moved from on-premises contact center infrastructure to a unified omnichannel cloud contact center across business units, with machine-learning-based conversational analytics and AWS services for transcription, sentiment extraction, speech, and queue management.Deployment time fell from six months to two weeks, and Intuit can scale from 6,000 to 11,000 agents during tax season in minutes while lowering operating costs and improving customer experience.
How many contact center modernization use cases are documented?
The AI Use Case Hub documents 40 real contact center modernization deployments across 12 industries, with 40 detailed company examples you can browse.
Which industries adopt contact center modernization the most?
Contact center modernization is most common in Finance (20%), Professional Services (20%) and Public Sector (15%).
Which countries lead in contact center modernization?
United States leads documented contact center modernization deployments, followed by United Kingdom and Canada.
What technologies are used for contact center modernization?
Teams most often build contact center modernization with Amazon Connect, AWS Lambda and Amazon Q in Connect.
What AI capabilities power contact center modernization?
Across the documented deployments, the most common capability patterns are Agent (20%), Voice (10%) and Copilot (10%).
What results do companies report from contact center modernization?
Across the 40 deployments reporting outcomes, companies most often cite customer experience & trust (90%), speed & agility (53%) and cost efficiency (40%). Where impact is quantified, the strongest evidence is in time & speed: a median −25% across 4 reported metrics.
