Tata Consultancy Services (TCS) provides an AI-native platform for insurance claims processing that transforms a linear claims workflow into an agent-driven ecosystem.The solution uses Amazon Bedrock Agents with specialist agents to handle document and image ingestion, data extraction, NIGO checks, triage, anomaly detection, and auto-adjudication across workers compensation and disability claims, including live audio transcript generation and dynamic FNOL form filling.
Use case type
Intelligent document processing
Extracts and structures data from documents and forms so downstream systems can use it automatically.
Use cases
75
Examples
60
Industries
12
Timeline
29 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
52 cases documented across 37 months (Jul 23 – Jul 26), peaking at 14 in May 2026.
19 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.
Company examples
Use cases of this type
10 shown from 75 use cases
Paynela is a Puerto Rico-based healthcare financing company that helps patients manage out-of-pocket medical expenses and patient assistance program workflows.The company had a manual medical adjudication process that created backlog and delayed patient payments.Paynela combined OCR with Amazon Textract and Amazon Bedrock to analyze complex healthcare data and automate payment adjudications.
DeAgostini used SAP Document AI to automate invoice handling for supplier invoices.The solution focused on processing paper- and PDF-based invoices without disrupting operations, reducing manual effort and errors.
DeAgostini
Other
OtherJunson Capital is a global investment management firm spanning real estate, private equity, and public markets across Hong Kong, Singapore, New York, and Palo Alto.The firm built a proprietary AI-native data framework to extract structured intelligence from high-variance, unstructured investment and administrative documents.The solution uses Vertex AI, Document AI, Gemini 2.5 Flash, Gemini 2.5 Pro, and Google Cloud Regions to support data extraction, automation, and regional data residency.
AArete’s Doczy.ai automates contract intelligence for healthcare organizations and other enterprises by converting unstructured contracts and legal documents into structured, queryable outputs on AWS.
GCPMay 30, 2026
Paper.id: Improving cash flow for local SMEs on a secure cloud platform using Vertex AI for invoice processing
Paper.id was founded in 2017 to help small and medium enterprises (SMEs) in Indonesia digitize their invoicing and payment systems so they can better manage cash flow.The company operates as a B2B SaaS invoicing and payments platform, supporting document tracking and matching, automatic payment reconciliation, and supply chain financing workflows.Paper.id runs its platform on Google Cloud and is exploring Vertex AI to read and process invoices, receipts, purchase orders, agreements, and financial statements to reduce manual document handling.
GCPMay 28, 2026
MeanderX case study | Google Cloud
MeanderX is a Germany-based renewable energy intelligence company that uses Google Cloud AI to turn fragmented public grid and permitting documents into actionable insights for developers.The company built an automated data processing agent with Agent Development Kit (ADK) that scrapes thousands of public documents, stores them in Cloud Storage, searches them with Vertex AI Search, and uses Gemini OCR and Gemini models to extract text and identify grid-relevant entities.The structured output is stored in Cloud SQL and used to help customers find optimal land and secure leases and permits earlier in the development cycle.
Papua New Guinea Immigration and Citizenship Services Authority (ICSA) partnered with AWS partner NiuPay to modernize manual, error-prone visa processing.The solution analyzes scanned documents and images with generative AI and structured data extraction, integrates directly into the eVisa platform, and uses configurable rules for auto-approval or human escalation.
Forte Insurance modernized customer-facing applications and disaster recovery on AWS to support online sales growth and faster software delivery.As part of an additional proof of concept, employees used a generative AI chatbot powered by AWS services to interrogate document management system (DMS) data and speed up decision-making.
May 27, 2026
Assent Compliance: Automated compliance document understanding with Amazon Textract and Amazon Comprehend
Assent Compliance processes compliance documents at scale by extracting data of interest from images and PDFs.The workflow uses Amazon Textract OCR to extract text, Amazon Comprehend for context-aware entity extraction, and Amazon Augmented AI for human review.AppSync and Amplify support an end-to-end ingestion and risk-assessment workflow, with feedback used to improve models over time.
Common questions
Intelligent document processing at a glance
- How many intelligent document processing use cases are documented?
- The AI Use Case Hub documents 75 real intelligent document processing deployments across 12 industries, with 60 detailed company examples you can browse.
- Which industries adopt intelligent document processing the most?
- Intelligent document processing is most common in Insurance (20%), Finance (16%) and Manufacturing (13%).
- Which countries lead in intelligent document processing?
- United States leads documented intelligent document processing deployments, followed by United Kingdom and Global.
- What technologies are used for intelligent document processing?
- Teams most often build intelligent document processing with Amazon Textract, Amazon Bedrock and Amazon S3.
- What AI capabilities power intelligent document processing?
- Across the documented deployments, the most common capability patterns are Vision (21%), Agent (7%) and RAG (7%).
- What results do companies report from intelligent document processing?
- Across the 75 deployments reporting outcomes, companies most often cite speed & agility (68%), new product / capability (68%) and scale & capacity (47%). Where impact is quantified, the strongest evidence is in time & speed: a median −77.5% across 4 reported metrics.