What challenges did Altisource face before AI implementation?

Complex decade-old enterprise applications made it difficult to accelerate delivery. New features previously took 9-12 months. Teams spent significant effort on maintenance and static scan remediation before release.

What was the impact of the AI solution?

Developer productivity improved by 25%. Scrum story points increased from around 160 to 200 over three months.

Source

ProductionEvidence: Medium65/100

Altisource boosts developer productivity by 25% with Amazon Q Developer

Use case typeCode modernizationUpdated Jun 13, 2026

Altisource, a US real estate and mortgage technology company, used Amazon Q Developer to modernize legacy software and accelerate delivery across its enterprise applications. The company introduced generative AI into its AWS environment and embedded Amazon Q Developer into the development workflow to work across large legacy applications and new feature delivery. Altisource connected Amazon Q Developer to Jira, Bitbucket, Figma, and internal database servers through MCP servers so the tool could use project, design, and code context during development tasks.

Organization: Altisource
Industry: Real Estate
Location: United States
Published: May 2026

Reported outcomes

Productivity: +25%

Productivity & throughput

Impact: −54%

Catalog median for productivity & throughput deployments: +40% across 100 reported metrics. Compare benchmarks →

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

Normalized claim

Productivity: 25% increase

AWS Solutions Case StudyMay 27, 2026Customer storyInferred claimMedium evidence strength

Developer productivity improved by 25%.

Normalized claim

Quantified impact: 54% decrease

AWS Solutions Case StudyMay 27, 2026Customer storyInferred claimMedium evidence strength

Code vulnerabilities decreased by 54%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Altisource
Provider: AWS
Maturity: Production
Linked source: AWS Solutions Case Study

Altisource deployed Amazon Q Developer and Amazon Q Developer CLI agent in its AWS environment

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Developer productivity
2Code modernization
3Application modernization

Altisource deployed Amazon Q Developer and Amazon Q Developer CLI agent in its AWS environment.
The company connected the assistant to Jira, Bitbucket, Figma, and internal database servers using MCP servers to provide application, project, and design context.
It formalized an AI-driven development lifecycle so Amazon Q Developer agents could access codebases, project information, and design artifacts for context-aware modernization work.

Technologies

Amazon Q Developer Amazon Q Developer CLI agent MCP server Jira Bitbucket Figma

Developer productivity improved by 25%.
Scrum story points increased from around 160 to 200 over three months.

Architecture

Altisource embedded Amazon Q Developer and Amazon Q Developer CLI agent into its software development workflow and connected the tool to Jira, Bitbucket, Figma, and internal database servers through MCP servers. This enabled an AI-driven development lifecycle in which Amazon Q Developer could access codebases, project information, and design artifacts to analyze whole applications and propose frontend and backend changes.

Sources & evidence1

Evidence: Medium65/100Evidence strength