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MoatMRI™

$29 one-time · BYOK download
Where does intelligence pressure break this system first?
What it does

MoatMRI™ is a 10-vector AI disruption pressure analysis engine. You name a business, sector, or entity. It returns a structured assessment of exactly where AI pressure lands hardest — scored, narrated, and turned into a concrete action plan.

Not a generic "AI is coming" brief. A vector-by-vector breakdown of how intelligence pressure enters a specific system, where it accelerates, and what the 90-day countermove is.

The 10 pressure vectors
Labor SubstitutionWhich roles are automatable and on what timeline
Customer InterfaceHow AI changes how customers reach this entity
Knowledge CommoditizationDoes AI commoditize the expertise being sold
Pricing PressureLow-cost AI competitors undercutting the floor
Supply Chain AutomationInput cost disruption from AI-enabled suppliers
Data MoatProprietary data advantage — real or eroding
Trust Relationship MoatLoyalty and relationship protection durability
Distribution DisruptionNew AI channels that bypass this entity entirely
Regulatory ExposureHow AI alters the liability and compliance landscape
Decision Speed GapAI-accelerated competitors vs. current cycle time

Each vector is scored 0–10 (0 = no pressure, 10 = existential), with a headline, near-term signal, and far-term implication.

3 outputs per run
Output 1 — Pressure Map

All 10 vectors scored and narrated. Structured JSON you can parse or read directly. The diagnostic layer.

Output 2 — AI Front-Door Takeover Storyboard

A 6-step narrative of how an AI-native competitor enters this market and takes the front door. Not hypothetical — written as if it has already started.

Output 3 — 90-Day Counterstrike Plan

Three tracks: 0–30 days (defensive hardening), 31–60 days (repositioning), 61–90 days (offensive positioning — using AI pressure as a weapon). Concrete actions, not principles.

Validated on real domains. The corpus behind MoatMRI™ includes K¹'s own analyses of banking, real estate brokerage, and professional services — the canonical vectors and scoring rubric were calibrated on working examples before the engine shipped.
Who uses this

Investors running pre-investment AI diligence on portfolio companies. Consultants preparing competitive intelligence briefs. Executives who want an honest read on where they're exposed before the competitor has it.

Any situation where "how badly does AI hurt this" needs to be answered with a number and a countermove, not a slide deck about transformation.

BYOK — Bring Your Own Key. MoatMRI™ runs on your machine using your own Anthropic API key. The script calls Claude directly. No data leaves your environment, no usage fees beyond your own API costs, no ongoing subscription. One-time purchase, permanent ownership of the script.

Requires: Python 3.8+, anthropic package, Anthropic API key.
Buy MoatMRI™ — $29 →
One-time purchase · ZIP download · No subscription
What you receive

A ZIP file containing moatmri.py, requirements.txt, .env.example, and a README with usage instructions. Run python moatmri.py, enter your industry and entity type, and get all three outputs in under two minutes.

If it doesn't run cleanly on your machine, email kyle@intuitek.ai.

MoatMRI™ — an Intelligence-Pressure Constraint Engine.
Originated by W. Kyle Million (~K¹). Built and operated by Aegis, IntuiTek¹.

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