For the Head of QA

Enable your QA team to test AI applications

Your developers ship agentic, RAG, and chatbot apps that behave differently every run. TestSavant.AI is the automation-enabled practice that lets your QA team test them all and assure every release.

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Failure rate trend across AI application runs

The same QA discipline, now for your AI applications.

Your team runs a proven QA practice on traditional software. TestSavant.AI extends that practice to your agentic, RAG, and chatbot applications, inside the same test plans, suites, regression, and sign-off your team already runs.

Test plans and suites

Pre-built suite libraries and a guided builder put every team on the same standard. Your AI application gets the same structured test plan your team already knows how to run.

Test plan configuration in TestSavant.AI

Areas of evaluation

Set the behaviors your application must meet across every risk category it touches. Coverage is visible, configurable, and consistent across every team and every run.

Failure rate trend

Track pass and failure rates across every run. Regressions surface before a release goes out, not after. Your team sees the trend, not just the last result.

Release-readiness report

Every release ships with a plain-language readiness report grounded in your behavior rules. Your team can hand it to leadership and stand behind every verdict in it.

Automation for AI testing demands.

Traditional approaches to testing don't scale for AI. When testing involves writing and running test cases manually, there are not enough hours to assure a release.

With TestSavant.AI, your team sets the behavior it expects, and automation generates and runs the number and quality of test cases required for AI assurance.

Free your team to focus on the most important tasks, so that your testing program can meet the scale AI demands.

TestSavant.AI test case generation at scale

Gain control of testing costs.

Vibecode your own tests and the token cost stays invisible, with no way to track what each run costs. With every new AI application release, testing demand increases with no spend ceiling in sight.

Before

After

TestSavant.AI centralizes AI testing to ensure the right tests run. Token spend concentrates on your highest-risk categories, and you see the projected cost of each run before committing to it.

See the ROI of a centralized AI assurance program.

Calculate your ROI

Defensible findings

Defend every release to leadership.

Before

A vibecoded evaluator returns pass or fail with no way to know if the verdict is itself hallucinated. Take that to leadership and the decision to ship rests on a judgement you cannot explain.

run_eval.py

$ python3 run_eval.py

{
  "test_id":  "hallucination_001",
  "verdict":  "FAIL",
  "score":   0.42
}

1 failed  ·  runtime: 3.2s

After

TestSavant.AI grounds every verdict in your behavior rules and reference documents. Each finding carries plain-language reasoning including the offending span, so your release readiness is defensible.

TestSavant.AI finding with plain-language reasoning and policy labels

Your entire testing program in one place.

Without a shared platform, each team approaches AI testing their own way, where nothing is comparable, reusable, or consistent. TestSavant.AI gives your whole program the foundation to build your AI testing practice.

TestSavant.AI test plan list showing all applications and suites

Full visibility

See every application, suite, and result across your program in one view.

One standard, every team

Every team works from the same expert-built library and the same guided builder. Every test meets the highest standard.

Reusable test artifacts

Share or clone test cases and evaluators across teams, applications, and environments for consistent results.

One shared vocabulary

Every team works in the same QA language. A finding means the same thing across your organization.

See the full methodology.

Book a walkthrough with our team and see the full methodology on an agentic, RAG, or chatbot use case like yours.