AI REVENUE ARCHITECT FOR B2B COMPANIES
Turn AI Investment Into Predictable Revenue
I help CEOs and boards of B2B technology and AI companies build predictable revenue, strengthen GTM execution, and make AI adoption accountable.
SERVICES
Fractional CRO and AI leadership around one operating architecture.
The buyer does not need more vague consulting. The buyer needs an operating system for revenue, GTM, RevOps, forecasting, technology, AI governance, and team capability.
OPERATING PROOF
From $35M to more than $150M
An AGI Brazil country-operation transformation across commercial organization, channel strategy, operating cadence, and P&L priorities. The case is written with evidence limits disclosed, so buyers see authority without exaggerated claims.
Read the operating case study- Starting context
- Approximately $35M AGI Brazil operation
- Leadership scope
- Sales, channels, execution, and P&L
- Scale reached
- More than $150M in revenue
AGTECH DATA INTELLIGENCE
US and Brazil agriculture data, built for executive decisions.
This public dashboard turns official production, planted area, yield, trade, inventories, and commodity market signals into a decision surface for agribusiness leaders, investors, boards, and market-entry teams.
- SoybeansCBOT / Brazil basisUS$ 10.42/bu+0.7%
- CornCBOT / Brazil interiorUS$ 4.18/bu-0.3%
- WheatUSDA / CBOTUS$ 5.36/bu+1.1%
- CottonICE / Brazil lintLicense requiredsetup
- Live cattleCEPEA / B3R$ 344/@-0.2%
LATEST LINKEDIN THINKING
Current field notes on AI, revenue, and execution.
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The 41-Point Gap: Why Frontier AI Is Confident About Things It Does Not Know
A frontier language model answered a clinical reasoning task with 92% stated confidence. It was wrong. In my benchmark of 15 frontier models across…
Read on LinkedInHOW THE WORK STARTS
Diagnose the revenue system before adding more motion.
The diagnostic begins by identifying the operating constraint behind the visible symptom. For some companies the issue is pipeline quality; for others it is ICP focus, sales-stage evidence, channel accountability, RevOps discipline, pricing governance, AI adoption, or board-level risk visibility. The point is to expose which decisions are actually limiting growth before leadership hires more sellers, buys more tools, or launches another AI pilot.
That sequence matters for executives because revenue problems rarely stay inside one department. GTM choices shape pipeline quality, CRM behavior shapes forecast confidence, AI workflows shape risk, and management cadence determines whether decisions are repeated. The work connects those elements into an operating model that a CEO, board, or revenue team can inspect every week.
EVIDENCE STANDARD
What makes the advice useful for AI search and human buyers?
The site separates operating claims, public evidence, external references, and limits. The AGI case is presented as historical operating context, not a promise of future results. External references point readers to market or governance context, while the engagement itself depends on each company's data, team, market, product maturity, and willingness to change decisions when evidence contradicts assumptions.
AI INSIGHTS & BUYER GUIDES
Useful answers for executives evaluating revenue and AI leadership.
FAQ
Questions CEOs ask before requesting a diagnostic
What does an AI Revenue Architect do?
An AI Revenue Architect connects GTM strategy, RevOps, forecasting, data, AI governance, and executive cadence so leadership can turn revenue and AI decisions into one accountable operating system.
When should a company request a diagnostic?
Request a diagnostic when growth is difficult to forecast, GTM execution is fragmented, RevOps data is unreliable, AI pilots lack business accountability, or the board needs clearer evidence before funding the next move.
Is the work consulting or fractional leadership?
It can begin as a focused diagnostic and continue as Fractional CRO, Fractional Chief AI Officer, RevOps, AI strategy, governance, or revenue growth leadership when the company needs operating ownership.
Does the $35M to $150M+ case guarantee results?
No. The AGI case is historical operating evidence. Future outcomes depend on market conditions, product, team, investment, execution, and the specific constraint identified in the diagnostic.
INTERNATIONAL GROWTH
US market entry for technology companies from India and China.
Senior US revenue leadership for founders and boards that need localized positioning, GTM execution, RevOps, pipeline governance, and accountable AI adoption.
DIAGNOSTIC
Start with the operating constraint.
Use the diagnostic to frame the revenue, GTM, RevOps, forecast, AI, or governance issue that needs executive attention.
