Assess AI risks, improve software testing with AI and create a clear route from recommendations to implementation.
We shape the assessment around one of two practical business needs.
We review your current testing workflow and identify where AI tools or purpose-built testing agents may reduce repetitive effort or improve coverage.
We define what should be tested across behaviour, knowledge, retrieval, tools, security and release quality.
Each service is scoped around your system, team and business requirements.
We review your existing testing process or AI application and recommend:
Our team can implement agreed recommendations, build testing workflows, integrate evaluations into CI/CD and provide specialist AI testing support.
Commercial clarityPractical learning for QA teams, engineers and managers.
Begin with one agreed workflow so your team can understand the risks, evidence and improvement options before considering wider implementation.
Request an assessmentConfirm the business purpose, expected behaviour and important failure impact.
Cover realistic, edge-case and adverse situations relevant to the workflow.
Choose measurements connected to the system’s intended behaviour and risks.
Document observed failures and prioritise practical improvements.
Review the findings and decide whether separately scoped implementation support is useful.
Plain-language checks linked to real risks and release decisions.
Check whether important answers and decisions are correct for the agreed use case.
Identify unsupported responses and check whether answers are based on approved information.
Check whether the application finds the right source material and cites it correctly.
Verify that the agent selects the right tools, supplies suitable inputs and completes the intended task.
Challenge the system with authorised security tests and check whether protected information is exposed.
Check whether the system stops safely, explains problems and hands control to a person when required.
Repeat important evaluations after changes to identify quality loss before release.
We do not present past employment as an AI Testing Hub client relationship.
A working demonstration of AI-assisted test case generation. Generated content requires human review.
Open the demonstrationRead the existing leadership biography and AI testing focus.
View leadership biographyNames shown on the experience page describe Sriram Angajala’s previous professional experience, not AI Testing Hub customers, partnerships or endorsements.
Review the experience pageShare a short description of the workflow, testing process or AI application you want to discuss.