Vouqis-Verify

bySundar

Vouqis Verify AI Change Verification for Engineering Teams Vouqis Verify is an AI Change Verification platform that helps engineering teams verify AI-related changes before they are deployed to production. As software increasingly incorporates large language models (LLMs), retrieval systems, AI agents, prompts, and tool integrations, traditional software engineering practices are no longer sufficient. Existing CI/CD pipelines can confirm that code builds successfully and unit tests pass, but they cannot determine whether an AI-related change has altered application behavior in a way that is safe, reliable, or aligned with business expectations. Vouqis Verify addresses this gap by analyzing AI-related changes in GitHub pull requests, identifying modifications that could affect AI behavior, evaluating potential deployment risks, and generating structured deployment evidence to support engineering review. Rather than replacing human reviewers, Vouqis Verify equips them with the information needed to make better deployment decisions. The Problem Engineering teams frequently modify AI systems by: Updating prompts Changing LLM models Modifying Retrieval-Augmented Generation (RAG) pipelines Updating AI agents Adding or removing external tools Changing evaluation datasets Updating system instructions Modifying inference parameters Although these changes may appear small, they can significantly affect application behavior. Today, most teams review these changes manually. Typical code review answers questions such as: Does the code compile? Are tests passing? Is the implementation correct? However, these reviews rarely answer questions like: Will the AI behave differently? Has answer quality changed? Has retrieval quality degraded? Could this change introduce hallucinations? Should additional evaluations be run? Is this AI change safe to deploy? This creates an AI verification gap between development and deployment. Our Solution Vouqis Verify introduces an AI verification layer into the software development workflow. Instead of reviewing only source code, it analyzes AI-specific modifications and generates deployment evidence before changes reach production. For every AI-related pull request, Vouqis Verify helps answer: What AI components changed? How significant is the change? What evaluations should be executed? What risks are introduced? What evidence supports deployment? Should reviewers investigate further before merging? How Vouqis Verify Works Developer ↓ Creates Pull Request ↓ Vouqis Verify analyzes the changes ↓ Detects AI-related modifications ↓ Classifies affected AI components ↓ Assesses deployment risk ↓ Recommends required evaluations ↓ Generates a Review Package ↓ Engineering Review ↓ Merge Decision ↓ Production Core Features AI Change Detection Automatically detects AI-related modifications, including: Prompt changes Model upgrades Agent workflow modifications RAG pipeline updates Tool integrations Evaluation changes AI configuration updates AI Component Classification Classifies each detected modification into its corresponding AI component. Examples: Prompt Model Agent Retrieval Tool Evaluation Configuration This helps reviewers immediately understand what changed. Risk Assessment Evaluates how likely an AI change is to affect production behavior.