Category Definition

AI Agent QA Is Broken. Here's the Category That Fixes It.

Automated eval scores tell you a model answered. They don't tell you whether it answered the way your brand, your policy, and your regulator require. That gap has a name.

The Problem

The problem with how AI agents are tested today

Traditional test-management tools like TestRail assume deterministic outputs: one input, one expected result, a green check or a red X. Conversational agents don't behave that way. They're non-deterministic, multi-turn, and they fail in subjective ways — the wrong tone, a hallucinated policy, a broken brand voice, a missed moment of empathy.

An automated eval score can't reliably capture any of that. A response can score 8/10 on correctness and still lose you the customer, or expose you to a compliance finding. The failures that matter most are exactly the ones no rubric fully anticipates.

The Category

What Conversational Agent Test Management is

Conversational Agent Test Management (CATM) is a structured category of tooling for governing the quality of non-deterministic agents. It sits alongside LLM observability and simulation tools, but its job is different: human review, environment gating, and audit-grade sign-off. Observability tells you what happened. Simulation generates coverage. CATM decides whether a build is allowed to ship — and leaves a record proving a person made that call.

LLM observability

LangSmith, Braintrust, Arize

Traces, metrics, and eval scores on production traffic. Tells you what happened — not whether a human signed off on it.

Agent simulation

Cekura, Hamming

Synthetic conversations at scale to stress-test flows before release. Great coverage, still machine-graded.

Conversational Agent Test Management

Obodek

Human review, environment gating, and audit-grade sign-off wrapped around the outputs of everything above.

Where We Fit

Where Obodek fits

Obodek is the first purpose-built CATM platform. It wraps whatever evals and simulations you already run in a structured human workflow with the four things regulators and QA leads actually ask for.

🧪

Reviewer assignment

Every multi-turn test case is assigned to a named human with a rubric and pass/fail criteria.

🚦

DEV / UAT / PROD gates

Promotion between environments is blocked until the required test grids pass at your threshold.

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Audit trail

An immutable record of who reviewed what, when, on which build, and what verdict they gave.

🐞

Severity-tagged findings

Reviewers file findings tagged Low / High / Critical / Blocker with evidence and fix-effort attached.

Ready to see it in practice?

Set up your first test grid in under 10 minutes.

Start free at obodek.com →