Production AI Readiness Review

Before your AI becomes a 3 a.m. apology.

Most teams don’t fail because the model is “bad.”
They fail because the surrounding system is loose.

This is a short, engineering-level review to surface the risks that actually matter:

What your AI is allowed to do
What happens when it’s wrong
How you recover when reality hits

No hype.
No “AI strategy.”
Just the stuff that breaks in production.

WHAT YOU GET

A tight written review (3–5 pages) that answers:

Where the system can fail.
What the AI must never do
How you recover
What I’d change if I owned it

WHO THIS IS FOR

CTOs shipping AI features into real workflows
Founders whose product can’t “just be wrong sometimes”
Teams integrating LLMs into messaging, support, sales, ops, or compliance-heavy domains

If you’re still at “we’re playing with prompts,” this is probably early.

If you’re near production (or already there), it’s time.

WHAT THIS IS NOT

Let’s be clear:

Not a legal compliance sign-off
Not a security certification
Not a model benchmark shootout
Not a slide deck of buzzwords

It’s an engineering review.
The kind that prevents expensive embarrassment.

HOW IT WORKS

Step 1 – A 30 minute call.

You talk. I listen. I ask questions that engineers asks.

Step 2 – I review what you have.

Architecture notes, flows, screenshots, repo access if needed (not always).

Step 3 – You get a written report.

Clear risks. Clear priorities. Clear next steps

If you want help implementing, we can talk.
If you don’t, you still leave with clarity.

START HERE

Book a 30 minute call.

All times are in Pacific Standard Time.