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Amado López

CAIO-CP™ · Fractional Chief AI Officer

Fractional CAIO | AI Strategy, Governance & ROI

I help CEOs and leadership teams decide where to use AI, what to scale, what to stop, and how to turn it into measurable business results.

No hype. No AI for AI’s sake. Measurable impact on the P&L.

AI accelerates execution, but it can also scale poor decisions.

AI with rigor, governance, and a clear business outcome.

“You run the business. I bring executive direction to AI so it produces results.”

Portrait of Amado López

WHAT I SOLVE AS A FRACTIONAL CAIO

I turn AI into executive decisions, governed investments, and measurable business outcomes.

I work with senior leadership to prioritize AI initiatives, establish governance, define accountability, and measure business value before scaling. Technology comes after the business decision.

EXECUTIVE EXPERIENCE

Black and white portrait of Amado López
  • More than 40 years of executive experience across growth, marketing, commercial leadership, procurement, and business operations.
  • 16.5% compound annual growth rate in consumer brands during my tenure with Bristol-Myers / Clairol.
  • Managed a US$30M+ portfolio in highly competitive markets at Revlon.
  • CAIO-CP™ · Certified Chief AI Officer with a focus on strategy, governance, adoption, and measurable ROI.

WHERE I GENERATE IMPACT

Executive AI Leadership | Fractional CAIO

Alignment of AI with business strategy, P&L, ROI, governance, and risk management.

Executive AI Assessment

Identify high-value opportunities, hidden costs, operational friction, risks, and areas where AI can create measurable value.

AI Roadmap | 12–24 Weeks

A prioritized execution plan with initiatives, owners, milestones, investment requirements, governance, and business KPIs.

AI for Growth & Marketing

Apply AI to marketing, customer experience, and growth initiatives tied directly to commercial objectives and expected return.

EXECUTIVE FRAMEWORK FOR AI LEADERSHIP

AN EXECUTIVE, BUSINESS-LED APPROACH

1. EXECUTIVE ASSESSMENT

Assess AI opportunities across the value chain, critical processes, operating model, and business priorities.
Identify current costs, friction, risk, and improvement potential.

2. IMPACT PRIORITIZATION

Prioritize initiatives based on expected value, required investment, risk, feasibility, and time to impact.
Just as importantly, determine what should not be pursued.

3. ROADMAP & GOVERNANCE

Build a 12–24 week executive roadmap with prioritized initiatives, accountable owners, investment requirements, milestones, governance rules, and business metrics.
Every initiative needs an owner, an objective, and a clear success criterion.

4. EXECUTIVE DIRECTION & REVIEW

Periodic executive reviews focused on decisions, adoption, risk, cost, progress, and measurable outcomes.
The objective is not more AI projects. It is making the right ones deliver value.