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Tactical AI Audit

Matthew Arthurs · Be A Decisive Leader

LTC, U.S. Army National Guard · PMI AI (CPMAI) · PMP · PMI-ACP · LSSBB · MBA · MSIT

EXECUTION ONLY Anti–analysis paralysis · Next right move

BLUF: Inventory shadow AI, classify work by decision doors, then name one jump-master per critical workflow—before you scale spend or liability.

PHASE 1 The SITREP

Audit shadow AI tools & flow metrics—what ships without governance visibility.

Row item Capture
Shadow tools register List every AI/automation touchpoint in production (approved or not): vendor, owner, data classes touched.
Flow metric — cycle time Baseline hours/decisions from trigger → customer-visible outcome for top 3 AI-assisted workflows.
Flow metric — defect escape Count rework / compliance exceptions tied to AI outputs (last 30 days).
Single source of truth Where does human authority override model output today? Document the escalation path in one sentence.

PHASE 2 Decision Triage

Categorize tasks as Single-Door vs. Double-Door—automate only after the door math is honest.

Door type Rule Your examples (fill)
Single-Door Reversible or cheap to unwind; bounded downside—candidate for assisted automation with monitoring.  
 
Double-Door Irreversible or asymmetric risk (legal, safety, brand, capital)—human judgment + explicit sign-off.  
 

PHASE 3 The Jump-Master Rule

Assign human-in-the-loop accountability—one named owner per critical AI-assisted jump.

Jump (workflow / decision) Jump-master (name + role) Proof they own (metric or artifact)
     
     
     

Continue with Decisive Edge

Shadow-AI triage is step one. The EDGE Framework and Friday Bridge carry governance language your team can install—books, diagnostics, and advisory when blast radius spans capital or brand.

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