Intelligent document processing
Extracts and structures data from documents and forms so downstream systems can use it automatically.
Data updated
Where it is used
Insurance accounts for 17% of these deployments.
- InsuranceEmerging · 1 in the last 6 months12
- FinanceSurging · 5 in the last 6 months12
- ManufacturingQuiet · 0 in the last 6 months10
- Public SectorBuilding · 1 in the last 6 months8
- Professional ServicesQuiet · 0 in the last 6 months6
- HealthcareRising · 2 in the last 6 months5
- LogisticsQuiet · 0 in the last 6 months4
- Real EstateQuiet · 0 in the last 6 months3
What it delivers
13 deployments publish a number. The rest describe results in words, grouped below.
Time & speed
6 metrics
Reduction · median and middle half−78%fewMedian reduction −78%, middle half −73% to −84%, from 4 metricsIncrease · median+44%2 metrics · fewQuality & accuracy
3 metrics
Reduction · median and middle half−99%fewMedian reduction −99%, middle half −99% to −99%, from 1 metricIncrease · median+33%2 metrics · fewCost savings
2 metrics
Reduction · median and middle half−27%fewMedian reduction −27%, middle half −22% to −31%, from 2 metricsAutomation & deflection
2 metrics
Reduction · median and middle half−85%fewMedian reduction −85%, middle half −85% to −85%, from 1 metricIncrease · median+50%1 metric · fewOther quantified impact
2 metrics
Reduction · median and middle half−97%fewMedian reduction −97%, middle half −97% to −97%, from 1 metricIncrease · median+80%1 metric · fewRevenue & growth
1 metric
No reductions reportedIncrease · median+200%1 metric · few
Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.
Results described in words
- Speed & agility66% of these deployments47
- New product / capability66% of these deployments47
- Customer experience & trust45% of these deployments32
- Scale & capacity45% of these deployments32
- Risk & compliance37% of these deployments26
- Cost efficiency32% of these deployments23
How it is built
AWS is named in 55% of these deployments.
- Custom-built81% · 48
- Low-code15% · 9
- Mixed3% · 2
The build approach is known for 59 of 71 deployments (83%). The rest are left out.
Cloud providers named
- AWS39 deployments55%
- Microsoft18 deployments25%
- GCP14 deployments20%
Technologies that recur
- Amazon Textract 28
- Amazon S3 18
- Amazon Bedrock 18
- AWS Lambda 11
- Amazon Comprehend 8
- Power Automate 7
- Document AI 7
- Vertex AI 7
Deployments over time
17 deployments in the last six full months, against 7 in the six before. Counted by publication month since Oct 2023. 23 earlier deployments are not shown.
- 8 Jun 2026HealthcarePR
Paynela automates healthcare payment adjudication with generative AI using Amazon Textract and Amazon Bedrock
Paynela · AWS
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.
- 6 Jun 2026OtherItaly
DeAgostini automated 54,000 supplier invoices using SAP Document AI
DeAgostini · GCP
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.
- 3 Jun 2026FinanceHong Kong
Junson Capital scales an AI-native data engine with Vertex AI and Document AI (investment reporting + reimbursement automation)
Junson Capital · GCP
Junson 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.
- 2 Jun 2026HealthcareUnited States
Automating contract intelligence with Doczy.ai on AWS
AArete · AWS
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.
- 30 May 2026FinanceIndonesia
Paper.id: Improving cash flow for local SMEs on a secure cloud platform using Vertex AI for invoice processing
Paper.id · GCP
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.
- 28 May 2026Energy & UtilitiesGermany
MeanderX case study | Google Cloud
MeanderX · GCP
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.