Context Transfer Bottleneck
Why it matters
Teams optimise locally because they cannot access the broader strategic picture. AI agents hallucinate strategic priorities because they have no structured context to query. The context problem is the root cause of most execution failures and the first of Stratafy's Four Problems.
How Stratafy addresses this
Stratafy solves the context problem by structuring strategy as queryable data with MCP access — making it consumable by both humans and AI agents, rather than trapped in documents that 95% of employees never read.
Strategy as queryable data
Every element of strategy is stored as structured, typed data with explicit relationships. An AI agent or team member can query "What are our active strategies?" and get a structured answer — not a link to a 50-page document that may or may not be current.
MCP access for AI agents
The full strategic layer is exposed via Model Context Protocol. AI agents query foundation, strategies, initiatives, risks, and assumptions before acting — getting real-time, structured context that shapes their decisions. This eliminates the guesswork that causes strategic drift.
Explicit relationships between elements
Strategies link to foundation. Initiatives link to strategies. Metrics link to objectives. Risks and assumptions link to what they affect. These explicit relationships mean that context is not just available — it is connected, so the implications of any change are immediately visible.
Human-AI co-working builds context
Strategic context is built and maintained through conversation, not documentation projects. A founder articulates intent, AI structures it as queryable data, surfaces gaps, and links it to existing elements. Context grows organically through the work, not as a separate documentation burden.