Marketplace For Buyers For Vendors For Partners

AI-Powered CX Proof-Of-Concept With AWS And Agentforce 2.0

Engage with Thoughtworks for an 8-week AI-powered customer experience (CX) proof-of-concept (POC) using AWS and Salesforce’s Agentforce platform. Thoughtworks’ CX experts will collaborate with your team to design, develop, and demonstrate a working prototype that leverages AI to enhance customer interactions, ensuring you gain valuable insights and a clear path forward.

Purchase this listing from Webvar in AWS Marketplace using your AWS account. In AWS Marketplace, you can quickly launch pre-configured software with just a few clicks. AWS handles billing and payments, and charges on your AWS bill.

About

Thoughtworks' AI-powered customer experience proof-of-concept enables you to leverage AI to enhance your customer interactions. Over the course of eight weeks, Thoughtworks' consultants will work closely with your team to design, develop, and demonstrate a working prototype that integrates AWS and Agentforce. This engagement will provide you with valuable insights, reduce risks, and offer a clear path forward for your customer engagement strategy.

By the end of the engagement you’ll have a minimum-viable-product to take to the market so you have an intelligent channel to interact with your customer base.

Sample agenda

While Thoughtworks’ engagement structure will adapt to your situations, here’s a typical structure of their PoC development activities.

Week 1-2: discovery and planning

Understand business objectives

Define success criteria

Develop a project plan

Week 3-4: design and architecture

Design user experience

Create solution architecture

Develop technical specifications

Week 5-6: development

Integrate AWS and Agentforce capabilities

Conduct initial testing

Build core features

Week 7-8: testing and demonstration

Refine the prototype

Perform comprehensive testing

Present the final POC to stakeholders

Deliverables

During the eight-week engagement, you’ll see your rapid progress on your Agentforce PoC, through weekly showcases. By the end of the engagement Thoughtworks will deliver a proof of concept that meets your initial business goals, be they personalisation, timely answers or friendly prompts.

Here are a few other artefacts you should expect as part of the engagement.

Detailed project plan

Comprehensive AI-powered test suite

Solution architecture and design documents

Forward-looking roadmap and recommendations

Applicable areas

You and your organisation will be interested in Thoughtworks' AI-powered customer engagement PoC because it allows you to rapidly leverage AI-powered customer engagement on AWS and Agentforce. Here are some areas where clients have benefited from such an engagement.

AI-powered customer service

Enhancing customer engagement

Optimising sales and marketing initiatives

Validating Agentforce as a technology choice

Hyperpersonalised experiences for customers

Converting fans into superfans, through AI-driven engagement patterns

Applicable AWS products and services

During this engagement Thoughtworks will advise you on AWS products and services such as AWS Lambda, Amazon S3, and Amazon SageMaker that you can employ to deliver the proof-of-concept.

Related Products

Sedai for ECS: Autonomous Optimization & Remediation

Sedai for ECS is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to reduce costs by 40%, improve performance by 35%, reduce FCIs by 50% and improve ops productivity 6x

AI based Intelligent Document Processing

Our product is an advanced artificial intelligence solution designed to streamline document processing workflows for businesses of all sizes. Leveraging cutting-edge machine learning algorithms, it automates the extraction, analysis, and interpretation of valuable information from a variety of documents, including invoices, contracts, forms, and more. With this powerful tool, businesses can significantly reduce manual effort, minimize errors, and accelerate decision-making processes.

Automated SAS to Pyspark Conversion

SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.

Vectra Cognito for Service Delivery Partners (Billed Monthly)

Vectra Threat Detection and Response for Partner Provided Consulting Engagements

Real-time & Historical Datafeeds | Global Post-War Contemporary Auctions

This dataset is prepared for statistical factor pricing models and standardized across variables including country, region, currency, vendor, artist for seamless data filtering. It contains 20+ years of all items in the Post-War & Contemporary art category sold on auction by Christie’s, Sotheby’s, Bonhams and Phillips from 2000 to date.

Philter

Philter deidentifies and redacts sensitive information, such as Personally Identifiable Information (PII) and Protected Health Information (PHI), in text.

Tuberculosis - Total number of cases in the US | CDC

Centers for Disease Control and Prevention provides free and open access to various health related data. This release contains total number of Tuberculosis cases reported in the United States, by region and by states, in accordance with the current method of displaying WONDER data. Data on United States will exclude counts from US territories. The data is available for past 2 years.

AWS Security Review

An AWS Security Review is an opportunity to ensure that your cloud infrastructure is optimized for performance, security, reliability, and cost-effectiveness. Our certified AWS architects will identify any potential issues or areas for improvement in your AWS environment and make recommendations to get your back on track.