What challenges did Appian customer organizations face before AI implementation?

Manual, time-consuming processing of unstructured documents and emails. Need to extract structured data from inconsistent document formats and support privacy/compliance requirements. Need to review contracts faster and reduce error-prone manual work.

What was the impact of the AI solution?

Mortgage processing time reduced from 16 weeks to 10 weeks. Mortgage extraction achieved 98.33% accuracy and reduced post-closing audit backlog from 45 days to 1 day. Trade-email extraction time reduced fourfold with over 95% accuracy. Legal contract review time reduced by automating extraction of changes and reasoning on differences.

Source

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

Use case typeIntelligent document processingUpdated Jun 13, 2026

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.

Organization: Appian customer organizations
Industry: Finance
Location: United States
Published: February 2025

Reported outcomes

98.3%

mortgage extraction accuracyQuality & accuracy

16 weeksmortgage processing time10 weeksmortgage processing time45 dayspost-closing audit backlog1 dayspost-closing audit backlog4xemail extraction time

Strategic outcomes

Speed & agilityAccelerated mortgage processing workflowRisk & complianceImproved audit backlog resolutionNew product / capabilityAutomated contract change reviewSpeed & agilityFaster trade-email extraction workflow

Catalog median for quality & accuracy deployments: +90% across 282 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Document Processing
2Workflow Automation
3Contract Analysis

Manual, time-consuming processing of unstructured documents and emails.
Need to extract structured data from inconsistent document formats and support privacy/compliance requirements.
Need to review contracts faster and reduce error-prone manual work.

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.

Technologies

Amazon Bedrock Amazon Textract Anthropic Claude 3 Appian AI Process Platform Appian AI Skills

Mortgage processing time reduced from 16 weeks to 10 weeks.
Mortgage extraction achieved 98.33% accuracy and reduced post-closing audit backlog from 45 days to 1 day.
Trade-email extraction time reduced fourfold with over 95% accuracy.
Legal contract review time reduced by automating extraction of changes and reasoning on differences.

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.

Implementation partners1

Appian

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: Feb 10, 2025Publisher: AWSEvidence: VendorConfidence: Medium

Primary source

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Customer evidence