Build, Buy, or Partner
AI Product & Data Strategy
Vendor-agnostic guidance on platform selection, data architecture, and product development decisions for AI-native capabilities. Make informed decisions about where to invest and where to partner.
Vendor-agnostic recommendations
Years of strategic planning horizon
Costly platform lock-in and technical debt
Who it's for
CEOs making strategic bets on AI product development
CIOs evaluating platform and architecture decisions with long-term implications
CPOs defining AI-native product roadmaps and capabilities
Timeline
What we do
- Build vs. buy vs. partner analysis for key capabilities
- Platform and vendor landscape evaluation
- Data architecture assessment and recommendations
- AI-native product strategy development
- Technical due diligence on potential partners
- Integration and interoperability planning
- Data monetization opportunity assessment
- Technology roadmap with decision gates
What we don't do
- Vendor contract negotiation
- Technical implementation
- Ongoing vendor management
- Product development execution
Building internal capability
Strategy is only valuable when your team can execute on it. We ensure knowledge transfer throughout the engagement, leaving you with the frameworks and understanding to make confident decisions going forward.
Decision frameworks that outlive the engagement
Vendor evaluation criteria you can apply to future decisions
Architecture principles that guide implementation teams
Deliverables
Strategic Options Analysis
Comprehensive evaluation of build/buy/partner alternatives
Vendor Evaluation Matrix
Objective assessment of relevant platforms and partners
Data Strategy
Architecture and governance recommendations
Product Roadmap
AI-native capability development plan
Integration Blueprint
Technical approach for selected direction
Decision Framework
Criteria for future technology decisions
Frequently asked questions
