Ghost Protocol · Enterprise Account Intelligence
Getting enterprise sellers
into the right conversation.
Ghost Protocol runs on publicly available financial data — earnings transcripts, SEC filings, CEO and CFO commentary — and converts it into consequence-led account intelligence. These are two accounts where the full 8-agent framework was deployed.
Ghost Protocol
Eaton Corporation · $24.9B Revenue · Intelligent Power Management
Seven consequence narratives from a single intelligence run — all built on public data alone.
Eaton's $19B backlog and 180bps margin compression in Electrical Americas created a documented financial consequence tied directly to commercial execution. From a single Tier 1 intelligence run — no insider access, no proprietary data — Ghost Protocol produced seven distinct Ghost Sheets covering seven buyer conversations: Workflow Automation, ITSM/ITOM, HR Service Delivery, Strategic Portfolio Management, Security Operations, Field Service Management, and M&A Integration.
The full Account Plan anchored the CFO narrative to Eaton CEO Craig Arnold's public commitment to "commercial actions" — giving the seller a consequence-led entry angle tied directly to what the CEO had already told the board.
Intelligence Tier
Tier 1 — Public data only. SEC filings, earnings calls, CEO commentary.
Primary Financial Anchor
$19B backlog + 180bps margin compression in Electrical Americas
Output
7 Ghost Sheets + Full Account Plan with CFO narrative
Ghost Protocol
PPG Industries · $15.9B Revenue · Specialty Chemicals & Coatings
A $175M cost savings target at risk — and the expansion theme that connected nine fragmented business units.
PPG's $175M cost savings commitment was publicly disclosed and directly dependent on clean, governed data across nine fragmented business units. Ghost Protocol's Cartographer agent surfaced "revenue integrity" as the expansion theme — positioning Salesforce ARM not as a new product purchase, but as the next chapter of the Anaplan investment PPG had already made.
This was a Tier 3 run — public data combined with insider engagement context and a client-provided Revenue Integrity deck. The Born Clean framework gave the seller a CFO-ready narrative grounded in the data governance problem the CFO was already carrying into every board conversation.
Intelligence Tier
Tier 3 — Public data + engagement context + client-provided materials
Primary Financial Anchor
$175M cost savings target at risk from ungoverned sales execution
Output
Ghost Sheet + Account Plan V3 · "Born Clean" expansion theme
Lighthouse · Executive Intelligence & Decision Support
Giving executives the intelligence
before the decision.
Lighthouse maps where AI creates measurable financial value inside a specific company — and builds the briefing infrastructure to support the decisions that carry the most consequence. This engagement was built entirely from public disclosures.
Lighthouse
Pilgrim's Pride Corporation · $18.5B Net Sales · NASDAQ: PPC
Five AI applications mapped to measurable financial outcomes — built the day Q1 2026 earnings were released.
Pilgrim's Pride reported a collapse in EBITDA margin from 12.3% to 6.8% in Q1 2026 — driven by commodity price volatility moving faster than pricing decisions could respond. The Lighthouse brief was produced the day earnings dropped, using only public disclosures.
The AI Value Map identified five specific financial problems where AI-powered intelligence creates measurable value: commodity pricing decisions, key customer relationship intelligence, CapEx return accountability, Mexico market intelligence, and digital channel margin optimization. Each was tied to a specific disclosed financial figure and a measurable outcome. The opening question was built directly from the CFO's own Q1 numbers — designed to open a conversation, not pitch a product.
Trigger
Q1 2026 earnings release — EBITDA margin down 560bps year-over-year
Primary Financial Anchor
6.8% EBITDA margin vs. 12.3% FY2025 · $950M CapEx commitment
Output
AI Value Map · 5 prioritized applications · CFO entry question
Ali · Business Intelligence & Opportunity Discovery
Whole-business AI intelligence
for the owner-operator.
Ali is a practitioner-led engagement that builds AI-powered intelligence into the operating fabric of a $10M–$250M business. The diagnostic identifies where intelligence is missing. The Blueprint defines what we build first. The engagement runs it every week.
Ali
Ali · Framework Overview · SMB Deployment Practice
The methodology, the three intelligence layers, and what Ali produces for four industries — in one document.
Ali was built from the same enterprise-grade methodology that powers Ghost Protocol — then rebuilt for the owner-operator who doesn't have an analytics team or six months to implement software. The framework diagnostic maps the 8–12 decisions driving the company's financial outcome and identifies where intelligence is arriving too late or in the wrong form.
The Ali overview document covers the full three-layer framework: Market Intelligence, Revenue and Relationship Intelligence, and Operational Decision Intelligence. It includes industry-specific examples across contractors, distributors, manufacturers, and professional services firms — and the four-step engagement arc from diagnostic to running intelligence.
Framework
Three-layer intelligence deployment · Diagnose → Build → Run → Refine
Target Company
$10M–$250M revenue · Owner or C-suite decision maker
Output
Ali Blueprint · Three AI applications ranked by business impact