Your AI driven scrum master for requirements, testing, and DevOps is here

Prism is an agentic AI platform that converts raw documents and conversations into clear, validated software requirements and automated test scenarios. It uses intelligent AI agents to generate user stories, acceptance criteria, and test cases, while seamlessly integrating with Jira and Azure DevOps—reducing ambiguity, minimizing manual effort, and accelerating delivery with confidence.

Trusted through execution, not promises

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From Ambiguity to Execution - Powered by Agentic AI

Prism helps delivery teams move from scattered inputs to well-defined requirements and aligned test scenarios. By applying agentic AI across requirement analysis, validation, and test generation, it supports more consistent planning, reduced rework, and smoother execution within existing DevOps workflows.

Prism in Action

Prism acts as an AI-powered Scrum Master that brings structure and clarity to the most error-prone stages of software delivery. It works alongside delivery teams to transform fragmented and unstructured inputs into clear, validated, and delivery-ready outputs—without disrupting existing workflows. By analyzing documents, meeting transcripts, and stakeholder conversations, Prism continuously identifies gaps, ambiguities, and missing dependencies. Its coordinated agentic AI system refines these inputs into high-quality requirements and test artifacts that remain aligned across planning, development, and testing.

Converts unstructured documents and discussions into validated functional and non-functional requirements
Detects requirement gaps, inconsistencies, and clarity issues early in the lifecycle
Automatically generates user stories, acceptance criteria, and aligned test scenarios
Pushes epics, stories, tasks, and test cases directly into Jira and Azure DevOps
Improves test coverage and enables shift-left quality engineering

Prism AI-driven requirements and test automation flow

Business Impact

Reduces manual effort by taking over repetitive requirement analysis and test preparation activities, allowing teams to spend more time on design, decision-making, and delivery.
Helps save time and cost by bringing clarity earlier in the lifecycle, reducing rework and avoiding late-stage corrections caused by incomplete or ambiguous requirements.
Improves accuracy and consistency by continuously validating requirements, identifying dependencies, and maintaining alignment across requirements and test artifacts.
Supports more predictable delivery by keeping requirements, user stories, and test scenarios synchronized as changes occur throughout the delivery process.
Enables teams to scale more effectively by using agentic AI to support multiple projects and backlogs without proportionally increasing manual overhead.

Got questions?

Prism helps teams address common challenges in requirement engineering and testing, such as unclear or incomplete requirements, late discovery of gaps, and misalignment between requirements and test coverage. It supports teams by bringing structure and validation earlier in the delivery lifecycle.

No. Prism is designed to support these roles by reducing the manual effort involved in requirement analysis, validation, and test preparation. In typical delivery scenarios, teams see a significant reduction in manual hours spent on repetitive tasks, enabling them to improve throughput and focus on higher-value activities such as design decisions, stakeholder collaboration, and delivery planning. This often results in faster execution and improved productivity across teams, without increasing headcount.

Prism is designed to work alongside existing processes and tools. It integrates with platforms like Jira and Azure DevOps, allowing teams to generate and update epics, user stories, and test scenarios without changing how they plan or execute their work.

Prism supports both customer-hosted and vendor-hosted deployment models. Customers retain ownership of their data, with options designed to meet security, compliance, and operational requirements across different environments.