Executive Summary
Actionable guidance for C-suite leaders evaluating, funding, and governing AI investments.
Evidence-based frameworks grounded in 20+ years of Fortune 100 AI leadership and $500M+ in analyzed deployments.
Key Evidence
2.56× - 17× ROI
Real ROI from production AI deployments
Ramp (5.87×), Nubank (2.56×), RBC (17×), Stripe, Coinbase
80%
AI projects fail due to preventable patterns
Technology-first approach, missing governance, demo bias, poor measurement
$15M+
Projected savings via AI/Agentic automation
Based on client engagement guidance and ROI frameworks
20+
Years Fortune 100 AI experience
Ramp, largest global consulting company, US-based digital consulting organization, US-based technology consulting organization, leading financial wellness organization
Who We Serve
Chief Technology Officers
Architecture decisions for foundation models and agentic systems. Production-ready patterns from real deployments. Governance frameworks that satisfy regulators.
- RAG vs Fine-Tuning decision frameworks
- Agentic architecture patterns with fallback mechanisms
- LLMOps and monitoring strategies
- Responsible AI compliance architecture
Chief Financial Officers
ROI frameworks for AI investments. Build vs. buy analysis. Cost-benefit modeling for executive review. Risk-adjusted returns on different AI strategies.
- 3-layer ROI modeling (direct + indirect + strategic)
- Scenario analysis (pessimistic, realistic, optimistic)
- Payback period calculations for different use cases
- Benchmark comparisons to industry peers
Chief Risk Officers
Risk management for AI in regulated industries. Governance patterns that satisfy regulators. Compliance frameworks for financial services and healthcare.
- Fairness and anti-discrimination monitoring
- Model explainability for audit requirements
- Escalation workflows for high-risk decisions
- Regulatory reporting and documentation patterns
Board Members
AI strategy oversight. Evaluating executive AI proposals. Understanding competitive implications of AI investments. Portfolio approach to AI initiatives.
- AI readiness assessment frameworks
- Competitive positioning via AI/data moats
- Board-ready presentation templates and slides
- Governance and oversight structures for AI
Services
Executive AI Advisory
Strategic AI guidance for C-suite and board members. Grounded in real production deployments and evidence-based frameworks.
- ✓ AI strategy formulation aligned to business objectives
- ✓ Foundation Model vs Agentic system decision frameworks
- ✓ RAG vs Fine-tuning architecture guidance
- ✓ Risk management and governance patterns for regulated industries
- ✓ Board presentations and stakeholder alignment
- ✓ Competitive positioning and AI moat strategies
AI Leadership Career Coaching
Positioning for Chief AI Officer, VP AI, and other executive roles. From individual contributor to executive strategy.
- ✓ Executive role mapping based on domain expertise
- ✓ Portfolio development: projects that demonstrate measurable impact
- ✓ Narrative development: translating technical achievements to business value
- ✓ Interview preparation for Fortune 100 AI leadership roles
- ✓ Board readiness assessment and executive presence coaching
Corporate AI Workshops
Executive education and organizational enablement for AI investment decisions.
- ✓ Executive AI literacy for C-suite (non-technical overview)
- ✓ Use-case prioritization: evidence-based frameworks
- ✓ AI Center of Excellence design and governance
- ✓ Responsible AI: compliance and risk management
- ✓ AI ROI measurement and post-deployment evaluation
Why Different
Evidence-Based
All claims grounded in real production deployments. $500M+ in analyzed AI systems. ROI ranges from 2.56× to 17×. We cite sources and disclose limitations.
Executive-Focused
Designed for C-suite decisions. Business outcomes, not technical details. ROI frameworks, governance patterns, risk management, competitive strategy.
Regulated Industry Expertise
20+ years in financial services and healthcare. Understand compliance requirements. Governance patterns that satisfy regulators. Real case studies (RBC NOMI).
Real Production Experience
Not academic theory. Not vendor pitch. Built production systems at Ramp, Nubank, Stripe, Coinbase standards. Know what works and what fails.
Start or Review Your AI Journey
Schedule a strategic consultation to discuss your AI objectives, explore advisory services, or begin your AI leadership journey.
Direct Contact
Email for executive inquiries: Copy email
Response within 24 hours for C-suite and board-level inquiries.