Problem addressed
Platform choices become expensive when they are made before the organization understands its knowledge, governance, and workflow requirements.
Services
Intelligence Platform Architecture
Designs platforms, integrations, providers, workspaces, retrieval, evidence, memory, and operational controls.
Purpose
Design the platform environment as an implementation of institutional architecture, not as a technology shopping exercise.
Scope
Workspaces, retrieval systems, provider abstraction, memory, evaluation, evidence capture, integration surfaces, and operational dashboards.
Expected institutional outcome
The institution can select, build, or integrate platforms with control over capability, risk, cost, and vendor dependence.
Typical engagement entry point
Often begins after target architecture or when an existing platform plan needs architectural direction.
Relationship to later services
Feeds build, operationalization, assurance, and future platform expansion.
Activities
- Translate target capabilities into platform requirements.
- Define provider-independent execution and integration patterns.
- Design knowledge, evidence, memory, and evaluation services.
- Specify operational controls for cost, quality, access, and observability.
Deliverables
- Platform reference architecture
- Provider and integration model
- Workspace and evidence design
- Build backlog and acceptance criteria
Begin with architecture
Build the institutional capacity your organization will need next.
Start with the Intelligence Infrastructure Assessment, then turn the findings into architecture, roadmap, and operational capability.