AI Strategy Red Teaming

The red team before the green light.

Independent, intelligence-grade review of AI decisions before you spend. Built for mid-market executives and pre-fundraise founders who need more than a vendor's word.

Taking select Q3 2026 engagements

The Problem01
95%
of AI projects fail
Average failed implementation: $300,000 or more.

The failure is almost never the technology. It is judgment.

Untested assumptions. Unvalidated ROI math. Vendor claims nobody pressure-tested. AI spend is outrunning AI judgment, and boards are starting to ask questions that gut feel cannot answer.

Most leaders don't have a decision framework that survives contact with an AI vendor's pitch deck. They have a gut feeling, a budget, and a calendar.

What We Do02

We help you make the right AI decision for your organization, not the easy one.

We don't build AI. We don't train teams. We don't sell implementation. We apply Intelligence Community Structured Analytic Techniques to the AI decision itself, before the contract is signed. The output is an executive decision memo your board can defend, not another slide pile.

No implementation partners No vendor referral fees No platform to sell

"It's not AI, and that's okay."

Sometimes that is the finding. We say it when the evidence says it.

The Method03

Four structured analytic techniques, built where being wrong is expensive.

Structured analytic techniques are the disciplined methods intelligence agencies use to test high-stakes decisions under uncertainty. The four below are the ones we lead with, drawn from a broader intelligence-community toolkit. We apply them to the specific AI decision you are facing.

01

Key Assumptions Check

What beliefs must be true for this AI initiative to succeed, and which of them are actually fragile?

02

Analysis of Competing Hypotheses

Of the three or four strategic paths available, which one does the evidence actually support?

03

What-If Analysis

What are the plausible failure scenarios, their triggers, and their early warning signs?

04

Red Team Analysis

How would a competitor, a skeptic, or an adversary break this plan? What is the strongest case against it?

The 10-Day Engagement
Days 1 to 4

Intake

Structured executive interview. Evidence Matrix built. Vendor claims, ROI assumptions, architecture, budget, and timeline extracted and tagged as Strong, Moderate, or Weak evidence.

Days 5 to 9

Analysis

All four SATs applied. Synthesis Matrix scoring the initiative across six dimensions: problem urgency, AI necessity, data readiness, technical feasibility, commercial viability, execution risk.

Day 10

Delivery

Executive decision memo, 5 to 8 pages. Decision Risk Matrix. A live walkthrough of the findings, and one follow-up call within 14 days.

Every engagement ends in a straight recommendation

Proceed/ Proceed with gates/ Validate first/ Pause/ Do not proceed
Why Ayo Advisors05

Methodology from a world where untested assumptions cost more than money.

Founder

Ben Brown. Two decades pressure-testing high-stakes decisions across U.S. military intelligence and special operations. The methods behind Ayo Advisors come from that world, adapted for the boardroom.

Methodology Pedigree

The four Structured Analytic Techniques come from intelligence-community analytic tradecraft, built where being wrong is expensive. Ayo Advisors is the only firm we know of applying them directly to commercial AI decisions.

Adversarial by Design

No implementation partners. No vendor referral fees. No platform to sell. That independence is the product; our only incentive is to break your plan before your competitor does.

Fit06

This works when you want the plan challenged, not confirmed.

Who this is for

  • Mid-market executives with an AI project on the table or mid-flight.
  • Pre-fundraise founders whose deck will face AI-specific due diligence.
  • Boards and investors who want the rationale documented before capital moves.

Who this is not for

  • Companies looking for someone to build or deploy AI.
  • Teams looking for a rubber stamp on a decision already made.
  • Buyers who need AI training, enablement, or change management.