Enterprise AI Architecture
Strategic portfolio management for enterprise AI platform organizations
Navigate architecture tradeoffs for your AI platform. Build hybrid portfolios that balance innovation speed with governance and control using the Value–Cost–Risk framework.
The Hybrid Portfolio Challenge
Enterprise AI organizations face a strategic tension: Overlay solutions offer speed and flexibility, while Embedded solutions provide deep integration and control. Our research shows that successful organizations execute pragmatic hybrid portfolios — “overlay now, embedded forever” — using the VCR framework to prioritize use cases and manage migrations.
We help you assess your current AI portfolio, score opportunities against VCR decision factors, and build migration roadmaps that balance short-term velocity with long-term strategic positioning.
What We Do
AI Portfolio Assessment
Inventory your current AI initiatives, pilot projects, and production systems. Map them to Overlay vs Embedded patterns and assess strategic fit, technical debt, and migration risks.
VCR Scoring Workshops
Score use cases against the 9 VCR decision factors (use case fit, time-to-value, performance, activation energy, data readiness, TCO, security, governance, choice). Build scoring models your team can reuse.
Hybrid Migration Roadmaps
Plan migration paths from Overlay to Embedded for strategic use cases. Sequence initiatives based on business value, technical readiness, and organizational capacity.
Governance Frameworks
Design governance models that support hybrid portfolios. Balance innovation speed (Overlay) with risk management (Embedded) through tiered approval processes and risk-based controls.
Vendor Selection & Management
Evaluate AI vendors using VCR criteria. Build vendor galleries, conduct POCs, and manage vendor relationships across your hybrid portfolio.
Platform Strategy & Architecture
Design AI platform architectures that support both Overlay and Embedded patterns. Build shared services, API layers, and data infrastructure that enable portfolio flexibility.
Who This Is For
CIOs & Technology Leaders
Enterprise technology executives responsible for AI strategy, portfolio management, and platform architecture. You need frameworks to prioritize investments and manage hybrid portfolios.
AI Platform & COE Leaders
Directors and VPs leading AI Centers of Excellence, platform teams, or advanced AI organizations. You balance enabling innovation with managing risk and governance.
Enterprise Architects
Technical architects designing AI platform capabilities, integration patterns, and governance frameworks across complex enterprise environments.
Ready to Build a Strategic AI Portfolio?
Let's discuss how VCR framework assessment and hybrid migration strategies can help your organization move beyond pilot purgatory.