VeloAI in action

Watch our explainer videos to see how this AI-driven co-pilot transforms software testing with speed, efficiency, and innovation.

Introducing VeloAI: Your AI-Powered Testing Co-pilot

VeloAI, developed by Inspired Testing, is designed to accelerate and enhance your testing process. "Velo" (short for Velocity) brings immediate speed and value to testers by integrating AI-driven efficiency into your workflow.

What Makes VeloAI Different?

Unlike generic AI tools, VeloAI is powered by Inspired Testing’s expertise, bridging the gap between AI models and structured testing workflows. With consistent prompts and results, it eliminates variability and ensures reliable AI-generated testing insights.

A Co-Pilot, Not a Replacement

VeloAI works alongside testers, optimising test execution while keeping human expertise at the center. Our goal is to boost efficiency and productivity—helping testers work smarter and faster, not replacing them.

In This Video

We provide a brief overview of the module that validates business requirements, showcasing how VeloAI streamlines this crucial part of the testing lifecycle.

VeloAI Module 2: Test Scenario & Test Case Creation

Creating test scenarios and test cases can be time-consuming and inconsistent. With VeloAI, you can generate structured, high-quality test cases faster and more efficiently using AI-driven intelligence.

How VeloAI Helps

Automates test scenario and test case generation based on requirements
Ensures consistency and coverage across different test cases
Reduces manual effort while keeping testers in control

Why It Matters

By integrating AI into the test design process, VeloAI helps testers focus on strategy and optimisation rather than repetitive documentation tasks.

In This Video

We showcase how VeloAI assists in creating test scenarios and test cases, ensuring structured and efficient test planning.

VeloAI Module 3: Automating Test Code Generation

Transforming test cases and scenarios into automation code is often a manual and time-consuming process. VeloAI eliminates this bottleneck by generating structured, reusable automation scripts based on your test cases—helping testers and developers move faster.

How VeloAI Helps

Automatically converts test scenarios into automation-ready code
Supports multiple test automation frameworks
Reduces scripting time while maintaining quality and consistency
Keeps testers in control—AI assists, but doesn’t replace expertise

Why It Matters

Manual test automation development is time-intensive and prone to inconsistencies. With VeloAI, you can accelerate test automation without compromising quality—allowing teams to focus on optimisation rather than repetitive scripting.

In This Video

We demonstrate how VeloAI automates test script development, turning test cases into automation-ready code in just a few clicks.

VeloAI Module 4: Coverage Optimisation – Smarter, More Effective Testing

Are you confident in your test coverage? Are you testing the right areas, or are critical gaps being missed? VeloAI’s Coverage Optimisation module helps teams assess, analyse, and refine their test coverage to ensure maximum effectiveness.

How VeloAI Helps

Analyses new and existing test scenarios against requirements to identify gaps
Ensures key functionalities and edge cases aren’t overlooked
Helps prioritise updates to regression packs for ongoing test relevance
Provides clear, data-driven insights for Test Leads and Managers
Aligns test efforts with business and technical requirements

Why It Matters

Without effective coverage, even the best test suites can miss critical defects. VeloAI helps teams track, review, and improve test coverage, ensuring their efforts are focused where they’re needed most.

In This Video

We demonstrate how VeloAI’s Coverage Optimisation module ensures thorough and efficient test coverage, helping testers make data-driven decisions.

VeloAI Module 5: AI-Powered Unit Test Creation & Coverage Optimisation

Writing unit tests is essential but often time-consuming. VeloAI automates unit test creation, reducing manual effort while ensuring key functions are well-tested at the lowest level of the test pyramid.

How VeloAI Helps

Automatically generates unit tests from your code, saving time
Uses existing functional tests & business requirements to identify missing unit tests
Optimises unit test coverage by analysing existing tests against provided requirements
Helps shift testing further down the test pyramid, where tests are cheaper & faster
(Coming Soon!) Code repository integration for seamless test generation

Why It Matters

Unit testing is the foundation of a strong testing strategy, but gaps in coverage can lead to defects slipping through. VeloAI ensures critical functions are tested properly, helping teams improve efficiency, reduce costs, and enhance reliability.

In This Video

We showcase how VeloAI automates unit test creation and optimises coverage, making it easier for teams to strengthen their test suites.

VeloAI Module 6: Global Context – AI That Understands Your Business

Every organisation has unique testing needs, and VeloAI ensures AI-driven testing aligns directly with your business context. With the Global Context module, you can customise VeloAI’s outputs to match your specific projects, workflows, and documentation.

How VeloAI Helps

Set a global business context to align AI-generated outputs with your needs
Apply this context across all VeloAI modules for consistent, relevant results
Upload key documents (architecture diagrams, API documentation, requirements, etc.) in Word, PDF, and more
Import and export business contexts, enabling reuse across different projects
Streamline workflows, improving alignment between test planning, automation, and business goals

Why It Matters

AI-powered testing is most effective when it understands your specific requirements. By defining a Global Context, VeloAI helps teams maintain consistency, improve efficiency, and ensure AI-driven insights remain relevant to their projects.

In This Video

We demonstrate how VeloAI’s Global Context module allows teams to customise AI-driven testing to match their organisation’s goals and requirements.