How Stratafy Compares to Other Frameworks

• No foundation layer — OKRs don't define the identity, values, or beliefs they should trace to
• No strategy hierarchy — objectives float without structural connection to a strategic logic
• No intelligence layers — no systematic tracking of risks, assumptions, or decisions
• No alignment scanning — drift between OKRs and actual strategy goes undetected
• No feedback loops — quarterly reviews replace continuous learning

• No beliefs or principles — the identity layer is incomplete
• No strategy hierarchy — the jump from vision to rocks skips the strategic logic
• No intelligence layers — issues lists are unstructured and lack risk/assumption tracking
• No alignment scanning — coherence between layers is assumed, not measured
• No AI readiness — strategy lives in meetings and spreadsheets, not queryable infrastructure
• No continuous feedback — quarterly pulse replaces continuous learning

• No beliefs — strategic premises remain implicit and untested
• No intelligence layers — risks and assumptions are discussed but not systematically tracked
• No decision tracking — the reasoning behind strategic choices is lost between planning cycles
• No alignment scanning — the One-Page Plan connects layers visually but doesn't detect drift
• No external intelligence — no structured radar for market signals
• No AI readiness — the One-Page Plan is a document, not infrastructure

• No foundation layer — starts at strategy, missing identity infrastructure
• No intelligence layers — assumptions behind cause-and-effect chains go untested
• No decision tracking — why specific measures were chosen is not recorded
• No external intelligence — internally focused, no radar capability
• No continuous feedback — reporting cadence replaces real-time learning
• No AI readiness — strategy maps are visual artifacts, not queryable data
• No collaborative building — designed for top-down cascade, not co-working

One-Page Plans, V/TOs, strategy maps, and OKR spreadsheets are all documents. They cannot be queried, consumed by AI, or updated in real time. They are snapshots that age the moment they are written.

Every framework assumes that risks are being managed, assumptions are being tested, and decisions are being recorded. None provides the structure to actually do this systematically. The intelligence layers are left to chance.

Quarterly planning, annual reviews, weekly meetings — these are all periodic. In an environment where AI agents act continuously and markets move in real time, periodic learning creates structural lag that compounds into strategic drift.

These frameworks were designed before AI agents became a reality. They assume strategy is consumed by humans in meetings. They have no concept of machine-readable strategy, collaborative building with AI, or strategic context for autonomous agents.