Application Integrity Assessment
Ensure your application maintains integrity throughout development and deployment – functioning as intended across all environments and use cases.
Quality assurance can’t keep up with AI speed
In the AI era, the critical question has shifted from “does the code work?” to “does the application experience match the intended outcome?” When you’re managing AI-generated code and autonomous agents, simply passing a unit test is no longer enough. Speed and abstraction are increasing, and with them comes the risk that your application’s behavior will drift away from your original intent.
You need to know if your software is actually delivering the experience you promised — not just functioning without errors.
We created this application integrity assessment to help you answer that question with confidence. This is a practical, scored checklist helping you identify integrity gaps across four key dimensions — before they become production issues.
True application integrity is about having continuous, measurable assurance that your software works as intended, with the governance to operate at AI speed and scale. Get the visibility you need to turn quality from a bottleneck into your strongest competitive advantage.
Read the full definition of application integrity
Four key dimensions
Evaluate your application across these key areas:
Intent
Ensure your application does exactly what it's supposed to do, even with AI-generated code.
APIs
Verify that your data and connections are reliable, correct, and governed.
Real-world integrity
Check if your app holds up under actual user conditions and performance loads.
Governance
Confirm that your deployment processes are maintaining quality at speed.
Want the PDF version? Download it here.
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