Capture–Monitor–Execute
How it works
- Capture — strategy in structured, machine-readable form — not as documents, but as queryable data.
- Monitor — alignment, risks, and assumptions in real time — replacing periodic reviews with continuous sensing.
- Execute — with full strategic context and guardrails — ensuring every decision has access to current intent.
Why it matters
Three steps that transform strategy from static documents into a living operating layer. Capture involves humans articulating strategy while AI structures it into queryable form. Monitor involves AI surfacing signals while humans triage relevance against current priorities. Execute involves humans and AI co-working on decisions and actions with complementary strengths — human judgment and AI analytical capability interleaving in real-time.
How Stratafy addresses this
Stratafy's core operating cycle transforms strategy from static documents into a living operating layer. Each phase involves human-AI co-working — not system processing alone — where human judgment and AI analytical capability interleave to produce outcomes neither achieves independently.
Capture: AI-structured strategy from conversation
A founder articulates a strategic bet in conversation, AI structures it as a strategy node with type, status, time horizon, and parent linkage, then surfaces what is missing — assumptions, risks, success metrics. The build_workspace MCP prompt operationalises this from scratch; scaling_up_sync maps existing frameworks directly into Stratafy entities.
Monitor: Five-lens continuous sensing
The monitoring layer is the five-directional alignment suite — foundation, coherence, radar, public presence, organisational — running continuously. Signals, risks, and assumption failures surface automatically and in real time. The pulse MCP prompt provides a quick check-in on strategic progress with optional focus on a specific strategy.
Execute: Co-working with strategic context pre-loaded
AI contributes critical analysis against full strategic context, structured capture of unstructured input, pattern detection across large information sets, and metadata routing with proper lineage. A signal arrives, AI triages it, human confirms priority, AI structures and routes it, both recognise meta-patterns.
Execute: Decisions captured as institutional memory
Every decision captures what was decided, why, by whom, the context at the time, and the outcome afterward. Type 1 (irreversible) vs Type 2 (reversible) classification governs deliberation speed. The call_it_a_day MCP prompt captures end-of-day reflections — wins, blockers, and learnings — feeding the recursive flywheel.