Is the AI you bought actually working?
An independent audit of the AI, LLM, or automation you already have running — and a plain-English verdict on what to do about it.
You rolled out an AI tool, chatbot, or automation in the last two years and can't confidently say whether it's earning its keep. Somebody sold it to you, somebody built it, and now it sits there. Usage numbers look fine or they don't, and either way nobody can tell you what it's returning. That's the situation this is for.
What you get
A written assessment
What was actually built, how it works, and where it sits in your operation. Written so you can read it without a technical translator.
Root-cause analysis
Why it is underdelivering. In most cases the answer is data quality, integration, or measurement — not the model. You get the specific cause, not a general theory.
A data-readiness gap list
The concrete things standing between your data and the result you were sold. Listed individually, so each one can be argued with, priced, or ignored on its own.
A one-page go/kill/fix recommendation
One page. Plain English. Keep it, kill it, or fix it — and if it is fix it, what specifically needs to change.
How the two weeks go
Kickoff call
One call to cover what you bought, what you expected it to do, and who has been living with it day to day.
Access
Read-only access to the system and the data behind it, plus whatever documentation exists. Nothing in your live environment gets changed.
The audit
We go through the implementation and the data feeding it, and test whether it does what it was supposed to do.
Verdict delivered
You get the written assessment and the one-page recommendation, and a call to walk through both and answer questions.
This is not a lead magnet for a big rebuild. If the verdict is "kill it," that's the verdict — you'll get it in writing, with the reasoning. The fee is the same whichever way it lands, so no version of the answer is worth more to us than another. Sometimes the answer is that the thing works fine and the problem is that nobody agreed what "working" meant before it shipped. You'll hear that too.
Questions
What is an AI Second Opinion?
An independent audit of an AI, LLM, or automation system you already have running. Snowl Labs reviews what was built, works out why it is underdelivering, lists the data-readiness gaps in the way, and gives you a one-page go/kill/fix recommendation in plain English.
How much does an AI Second Opinion cost and how long does it take?
$3,500 flat, with a two-week turnaround. No hourly billing and no scope creep.
Who is the AI Second Opinion for?
Companies that rolled out an AI tool, chatbot, or automation in the last two years and cannot confidently say whether it is earning its keep.
Why do AI implementations usually underperform?
In most cases the model is not the problem. The cause is usually data quality, integration, or measurement — the system was never wired into clean data, never connected properly to the systems it needs, or was never measured against a number anyone agreed on beforehand.
Get a Second Opinion
Email us what you rolled out and roughly when. No form, no discovery sequence — a reply from someone who'd be doing the work.
info@snowllabs.com