List of Amazon Augmented AI Customers
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Since 2010, our global team of researchers has been studying Amazon Augmented AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon Augmented AI for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon Augmented AI for ML and Data Science Platforms include: T-Mobile _x000D_, a United States based Communications organisation with 70000 employees and revenues of $81.40 billion, Change Healthcare, a United States based Professional Services organisation with 14000 employees and revenues of $3.28 billion, NHS Business Services Authority, a United Kingdom based Government organisation with 4566 employees and revenues of $976.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon Augmented AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon Augmented AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Change Healthcare | Professional Services | 14000 | $3.3B | United States | Amazon Web Services (AWS) | Amazon Augmented AI | ML and Data Science Platforms | 2020 | n/a |
In 2020, Change Healthcare implemented Amazon Augmented AI Apps Category to add human in the loop review across machine learning driven document and claims processing pipelines supporting its healthcare finance operations in the United States. The deployment focused on embedding Amazon Augmented AI into document ingestion and adjudication workflows to surface uncertain classification and extraction results for human verification, preserving auditability for sensitive healthcare documents. The initiative explicitly targeted claims operations and document centric workflows used by revenue cycle and claims processing teams.
Configuration and module usage included Amazon Augmented AI orchestrating review tasks and, based on AWS messaging about A2I HIPAA eligibility and the company use case, inferred upstream use of Amazon Textract for extraction and Amazon Comprehend for classification and entity extraction. Implementation covered human review task templates, configurable confidence thresholds that trigger human intervention, and feedback loops that label and route reviewed documents back into ML training and rules engines. The architecture emphasized a hybrid ML human review layer, where Amazon Augmented AI managed task routing to review queues and returned verified outputs to downstream claims adjudication systems.
Governance centered on operationalizing human oversight for compliance and quality, with process changes to integrate reviewer workflows into existing claims operations in the United States. Change Healthcare used Amazon Augmented AI to create auditable review trails and to standardize escalation paths for complex claims, embedding human decisions into automated pipelines to increase efficiency and compliance as stated by the initiative.
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NHS Business Services Authority | Government | 4566 | $976M | United Kingdom | Amazon Web Services (AWS) | Amazon Augmented AI | ML and Data Science Platforms | 2020 | n/a |
In 2020, NHS Business Services Authority implemented Amazon Augmented AI, Apps Category . NHS BSA paired Amazon Augmented AI with Amazon Textract to human-review OCR outputs from millions of paper prescriptions and healthcare documents, concentrating on healthcare payment and document processing in the United Kingdom. The deployment explicitly targeted payment and claims processing functions to improve accuracy for payment and claims processing.
Amazon Augmented AI was configured as a human review workflow that routes low confidence machine learning predictions to reviewers. Confidence thresholding and a review interface presented Amazon Textract OCR outputs alongside predicted fields for human judgement and correction, focusing verification on key payment and claims data elements. The configuration standardized review steps and annotation practices to reduce variation in corrective actions.
Integrations included Amazon Textract for OCR extraction, with extracted text and field predictions delivered into Amazon Augmented AI review queues. Corrected outputs were returned to downstream payment and claims processing workflows within NHS BSA operational systems after human verification. The operational scope was the United Kingdom and covered healthcare document types such as prescriptions and claims forms, processing millions of pages.
Governance established human judgement as the control point for low confidence predictions, creating an exception routing workflow for clerical review and verification. The ability to apply human judgement to low confidence machine learning predictions increased trust and reduced manual error, improving accuracy for payment and claims processing as reported.
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T-Mobile _x000D_ | Communications | 70000 | $81.4B | United States | Amazon Web Services (AWS) | Amazon Augmented AI | ML and Data Science Platforms | 2020 | n/a |
In 2020, T-Mobile implemented Amazon Augmented AI to add a human validation loop for ML predictions that supply real time account and offer insights to customer care agents. The deployment uses the Apps Category and is built on Amazon Web Services infrastructure in the United States to support low latency inference for live CRM interactions.
Amazon Augmented AI is configured to route model outputs to human reviewers for validation before those signals are surfaced to agents, with inferred use of AWS NLP services such as Amazon Comprehend to generate the underlying text analysis and classification predictions. Key functional modules include real time inference orchestration, human review tasking and judgment aggregation, and feedback pipelines that capture validated samples for model improvement. The implementation instruments human review outcomes so validated labels can be ingested back into model training workflows.
Integrations explicitly include CRM workflows and agent desktops where validated account and offer insights appear during live customer service interactions, and a continuous feedback loop into model quality processes. Governance focused on operational controls for the human review workflow, including sampling logic to determine which predictions require human validation and processes for capturing reviewer decisions to improve model fidelity and sustain insight quality.
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