Customer Support

Checking AI answers when documentation is missing

AI is deliberately asked questions that are not covered in the docs to verify whether it admits uncertainty or hallucinates an answer.

Why the human is still essential here

A human must evaluate whether the model responds safely, define fallback behavior, and correct unsafe or misleading responses.

How people use this

Out-of-docs policy probes

Reviewers ask Ada questions about policies or exceptions that are not documented to verify the bot declines gracefully instead of inventing an answer.

Ada

Knowledge-gap ticket sampling

Teams submit unsupported product questions to Forethought Solve and flag any confident answer that lacks a verifiable source article.

Forethought Solve

Fallback response checks

Admins test undocumented scenarios in Salesforce Service Cloud Einstein to make sure the assistant routes to a safe fallback or human agent when it lacks evidence.

Salesforce Service Cloud Einstein

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Tip
Reddit

before we go live with any AI support setup, I run through the same checklist. Here's what's on it.

not a formal list or anything, just stuff I actually run through now because I've seen what happens when you don't

test it as your worst customer not your best one vague question, typo in it, missing half the context. if it handles that you're probably fine. most people only test the clean version and then wonder why it breaks on real customers


ask it something that's not in the docs not to be mean to the AI, just to see what it does when it doesn't know. does it say it doesn't know or does it just... make something up confidently. very different outcomes


go through every case you've had to escalate manually before if a human has had to step in for it, the AI will hit it eventually. better to find out in testing than from a pissed off customer


make the "talk to a human" option obvious not in a footer somewhere. actually there. especially for anything touching money or cancellations


read the first 20 answers out loud sounds dumb but you catch things this way that you miss reading. if anything sounds slightly off it needs fixing before customers hear it


most of the issues I end up seeing in tickets could've been caught in like 30 mins of this before launch. anyway hope it helps someone

S
ShotOil1398Customer Support practitioner
Apr 17, 2026