Evidence: Low35/100

Appian AI Skills on Amazon Bedrock + Textract for mortgage processing and contract review (AWS partner implementation)

Appian uses Amazon Bedrock and Amazon Textract behind Appian AI skills to automate document extraction, summarization, PII handling, and process workflows for enterprise customers. Named examples in the article include mortgage processing, trade-email entity tagging for a financial services company, and legal contract review. The solution is delivered through Appian AI Process Platform and pre-built generative AI skills rather than a bespoke model training program.

Industry
Finance
Published
February 2025

Reported outcomes

Email extraction time: 4× lower

Time & speed

Mortgage processing time: 16 weeksMortgage processing time: 10 weeksPost-closing audit backlog: 45 daysPost-closing audit backlog: 1 day

Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Mortgage processing time: 16 weeks

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

reducing the process timeline from 16 weeks to 10 weeks

Normalized claim

Mortgage processing time: 10 weeks

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

reducing the process timeline from 16 weeks to 10 weeks

Normalized claim

Mortgage extraction accuracy: 98.3%

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

achieving 98.33% accuracy

Normalized claim

Post-closing audit backlog: 45 days decrease

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

reduce their post-closing audit backlog from 45 days to 1 day

Normalized claim

Post-closing audit backlog: 1 days decrease

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

reduce their post-closing audit backlog from 45 days to 1 day

Normalized claim

Email extraction time: 4 x decrease

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

a four-fold reduction in extraction time

Normalized claim

Email extraction accuracy: 95%

AWS Machine Learning BlogFeb 10, 2025Blog postExplicit claimLow evidence strength

achieved over 95% accuracy

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Appian customer organizations
Provider
AWS
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Document Processing
  • 2Workflow Automation
  • 3Contract Analysis
  • Appian AI service integrates with Amazon Textract for document extraction and Amazon Bedrock with Anthropic Claude for summarization, classification, and other generative AI tasks.
  • Pre-built prompt templates and AI skills are embedded in Appian's low-code process platform.
  • The workflow supports PII extraction/redaction and handoff between humans and digital workers.
Architecture

Appian AI service sits between Appian AI Process Platform instances and AWS AI services. It uses Amazon Textract for extracting structured data from scanned documents and images and Amazon Bedrock with Anthropic Claude LLMs for tasks such as summarization, classification, PII handling, and other generative AI skills. The article describes pre-built prompt templates and Appian Cloud delivering the AI capabilities within a managed SaaS environment.

Sources & evidence1
Evidence: Low35/100Evidence strength
  • Customer explicitly identified
  • Quantified outcome available
  • Technical implementation details available
Type: Blog PostPublished: Feb 10, 2025Publisher: AWSEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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