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Graded 17 October 2026

Can Zendesk AI change future answers after a correction?

Zendesk AI could not carry out the correction-and-re-ask task because the tested agent had no way to accept a correction. The question was never asked again in a new conversation.

1 of 1 test case failed

Every test case in this scenario has a result.

Pass rate0%0 of 1 gradable
Coverage1 of 1test case with a result
0PassNo test case passed.
1FailMissed at least one thing it was expected to do; the reason and proof are with each test case below.
0Not gradableEvery result here could be graded.
0UntestedEvery test case in this scenario has a result.
The pass rate is a summary. The evidence is the test case below: what we sent, what we checked, what the tool returned, and the proof.

The test case

Each test case is judged on its own: Pass, Fail, Not gradable, or Untested. The scenario result above is based on this test case.

Re-ask the corrected question in a new conversationFailEvidence
What we sent

We sent nothing and did not ask the question again in a new conversation because no correction could be submitted.

What the tool returned

There is no applicable tool response to show for this step.

Expected vs. Found
✗Expected: An answer in a new conversation reflects the submitted correction.Found: No control to correct the past answer was found in the conversation header or overview panel, leaving no corrected answer to request again.
Supporting proof
Proof 1Screen recording
Screen recording: no correction control in the conversation header or overview panel
Key moments
Open original ↗
Why this result

The task is a Fail, not untested: this agent has no correction route, so the required re-ask cannot be performed. Zendesk’s documented feedback excludes this reply type and does not update the account’s future answers. This covers the tested web app, Suite Professional plan and agent configuration.

Tested by Ajay Vekhande · evidence dated 3 October 2026

Configuration and setup

How this tool was set up for the run and what the test needed in place. Each row is a fact from the run's records; a fact the records do not hold is left out, not guessed.

Software that produced the output
Zendesk AI
Build or version
Not exposed by the hosted product
Plan or tier
Suite - Professional Free trial
Surface
Web app
Set up before the run
The task required a submitted correction to the agent’s earlier order-status answer and the product’s stated time for that correction to affect future answers.
Agent configuration
Replies resolved through Procedures; one custom action triggered
Tested
3 October 2026 · Ajay Vekhande

How this scenario is graded

How we decide Pass, Fail and Not gradable. The same rules apply to every tool tested on this scenario.

How results are decided

Each test case gets one result per tool: Pass, Fail or Not gradable. A test case we haven't run yet shows Untested. There are no partial results.

The rules
  • Pass: the tool did everything the test expected, and nothing it said contradicts the correct answer.
  • Fail: at least one expected behaviour clearly didn't happen; the test case's result says which one and quotes the tool.
  • Not gradable: our evidence couldn't settle the outcome (for example a record we needed is missing). It is never counted as a fail, and the test case's result says what's missing.

Where this sits in the benchmark

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History of this result

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from the publication record
10 November 2026First publishedAI Customer Support Chatbots v1

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This matches what I see

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This does not match

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Point out an issue

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We have fixed this

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Vendor notice →
Filed against this evidenceNothing yet. Challenges, counter-evidence and fix notices appear here with their outcome, and stay on the page after they are resolved.
Cite this result
aidemos.com/benchmarks/ai-customer-support-chatbots/results/zendesk/learning-from-correction · 0 pass · 1 fail · coverage 1/1 · graded 2026-10-17

The same record is available as structured data through the AI Demos MCP server, with the counts, the coverage and every per-test-case reason carried as fields.

Verify the proof files

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File fingerprints (SHA-256)

A fingerprint identifies the exact file used for this result.

Proof 1 · Screen recordingffd275d3bdb5d8d1aa01c5bea974ee0ab0d6989857701e80c3bf815ae7eeb22f