Agent Readiness Assessment

Before you trust AI deeper in real work, find out whether it’s actually ready.

Agent Readiness Assessment is a founder-led review for teams already using AI in meaningful workflows. It surfaces hidden failure points, false confidence, weak handoffs, and broader operational unreadiness before they become expensive.

Start the intake Compare Spotlight and Floodlight

Why this matters

A demo is not an operation. One successful run is not readiness. AI that looks reliable in a clean test can still fail quietly where it counts.

False confidence tends to show up exactly where you stop looking:

What Agent Readiness Assessment is

An external review of an AI workflow, system, or operating surface that matters enough that failure would cost something. A serious, outside read on whether the thing is actually ready to be trusted further.

It is not general AI education. It is not implementation work. It is not a vague strategy call.

What it surfaces

Who it’s for — and who it isn’t

It’s for you if

  • you’re already using AI in real workflows, or close to it
  • you want an honest external read, not reassurance
  • readiness actually matters — failure would cost something

It’s not for

  • hobby experimentation or general AI curiosity
  • buyers who want implementation done for them
  • vague advisory or strategy seekers
  • teams too early to define what would even be reviewed

Spotlight and Floodlight

Two depths of review. We’ll recommend the one that fits.

Spotlight

$2,500

A focused readiness review for one bounded workflow, system, or narrow operating surface.

Best for: a serious external read on one specific workflow.

What you get

  • focused readiness review
  • identification of key failure points
  • a readiness judgment
  • prioritized next-step guidance
  • private delivery

Floodlight

$7,500

A broader readiness review for a larger operating surface, more consequential use, or a question that can’t be answered honestly from one workflow alone.

Best for: a broader operating-trust question.

What you get

  • everything in Spotlight, plus:
  • broader scope coverage
  • deeper operational analysis
  • stronger decision-support framing
  • more comprehensive readiness guidance
  • private delivery

We recommend the right fit — not the bigger package

The recommendation happens in the intake, before you pay for anything — with the reasoning shown on screen.

What you get

How it works

  1. Start the intake. A short, asynchronous set of structured questions — no meetings.
  2. We review fit and scope. You see the recommended lane and the reasoning, on screen.
  3. Proceed to the right package. Spotlight or Floodlight — whichever actually fits.
  4. Receive the review privately. Delivered to you through a private link.

Confidentiality and what to submit

Delivery is private. Submit only what’s needed to understand the workflow or operating surface under review.

Do not submit passwords, API keys, live credentials, personal data, regulated information, or anything you aren’t authorized to share.

If unusually sensitive internal material is involved, contact us before submitting — we’ll establish the right handling path.

Founder-led, limited capacity

This isn’t a mass automated product. Fit, scope, and judgment matter, so capacity is deliberately limited.

Recommendation honesty runs in every direction: Spotlight when Floodlight isn’t warranted, Floodlight when it is, and “not this offer, not yet” when that’s the truthful answer.

If AI is already touching real work, don’t wait for failure in the wild to tell you what testing missed.

Start the Agent Readiness intake

Need broader scope, deeper access, or a more bespoke engagement? Tell us what you need.