AI Product Strategy

Elevate Your AI Product Strategy

As companies like Google have demonstrated, successful AI integration requires more than technical expertise—it demands strategic vision, cross-functional alignment, and a deep understanding of both user needs and enterprise realities.

With experience leading AI product development at Google, Meta, Microsoft, and Covariant, I provide expert consultation on enterprise AI strategy that balances innovation with reliability, scale, and responsible deployment.

Enterprise-Focused AI Consulting

  • Google-Scale Experience: Insights from developing ML platforms serving billions of daily requests across multiple product surfaces
  • Cross-Functional Expertise: Strategies for aligning research, engineering, product, design, and policy teams
  • Metrics-Driven Approach: Quantifiable frameworks for measuring AI impact, quality, and responsible deployment
  • Implementation Focus: Actionable roadmaps that bridge vision with execution

Strategic Consulting Services

### AI Platform & Infrastructure Strategy Develop scalable ML platform strategies that support rapid innovation while maintaining reliability. I help enterprise teams design infrastructure that enables: - Reduced model deployment time (78% average improvement) - Increased reliability (targeting 99.99%) - Streamlined ML workflows across distributed teams <---> ### AI Feature Roadmap & Prioritization Create data-driven prioritization frameworks for AI capabilities based on: - Business impact modeling - Technical feasibility assessment - Development resource requirements - Strategic alignment with company objectives This structured approach typically yields 30-40% higher ROI on AI investments.
### Responsible AI Implementation Develop practical governance frameworks that balance innovation with trust and safety: - Cross-functional review processes - Risk assessment methodologies - Bias detection and mitigation strategies - User-centric transparency approaches These frameworks have been used by teams at Google, Meta, and Microsoft to reduce trust incidents by 40-60%. <---> ### AI User Experience Strategy Create intuitive user experiences for AI-powered features that drive adoption and retention: - Progressive disclosure patterns - Confidence communication frameworks - Feedback collection systems - User control mechanisms Implementations typically yield 25-45% higher feature adoption rates.

AI Measurement & Evaluation Frameworks

Establish robust measurement systems to evaluate AI performance beyond traditional metrics:

  • Business Impact Metrics: Revenue lift, efficiency gains, cost reduction
  • Quality Metrics: Accuracy, precision, recall, and custom domain-specific metrics
  • User Trust Metrics: Confidence scores, correction rates, feature adoption
  • Operational Metrics: Latency, reliability, resource utilization

Consulting Engagements

My consulting services are tailored to meet your specific needs:

  • Strategic Assessments (2-4 weeks): Comprehensive evaluation of your current AI capabilities, opportunities, and challenges
  • Product Strategy Workshops (1-3 days): Intensive sessions with leadership and product teams to align vision and execution
  • Implementation Roadmapping (4-8 weeks): Detailed planning for bringing AI capabilities from concept to production
  • Ongoing Advisory (Flexible): Regular guidance to support your team throughout implementation

Enterprise Impact Case Studies

ML Platform Transformation at Google

Led the development of a unified ML platform strategy that reduced model deployment time by 78% while improving reliability to 99.99%. The platform now supports 30+ product teams across the organization with standardized workflows, governance, and measurement.

Enterprise AI Adoption at Microsoft

Developed a systematic approach to introducing AI capabilities into Azure enterprise products, resulting in:

  • 52% increase in enterprise customer adoption
  • 64% reduction in implementation time
  • 99.9% service reliability
  • Support for 25 languages across key services

Vision AI Scale-Up at Covariant

Created the product strategy and roadmap for enterprise robotics AI that achieved:

  • 85% accuracy in complex environments (30% above industry standard)
  • $100M+ projected revenue
  • 64% reduction in model training time
  • Successful deployment across multiple Fortune 500 customers

Let’s Elevate Your AI Strategy

Whether you’re looking to develop new AI-powered products, optimize existing solutions, or create a comprehensive AI strategy for your organization, I bring the experience and expertise needed to drive measurable results.

Schedule a consultation to discuss how we can advance your AI product goals.