Wardley Mapping for Operators

Return a strategic landscape map brief with this schema: - purpose: user, need, decision, owner, deadline, and cost of delay. - user_anchor: primary user and the need that anchors the map. - map_components: capabilities with visibility, dependencies, suspected evolution stage, owner, and evidence link. - strategic_observations: position, movement, climate signals, inertia, and AI-era commoditization pressures. - unknowns: assumptions, missing evidence, disputed facts, and tests to run. - decision_implications: what the map suggests about build, buy, platform, vendor, staffing, or cadence choices. - review_gates: human approvals required before the map changes plans, budgets, records, or external commitments. - next_move: one evidence-gathering or alignment step due in the next operating cadence.

Return a value chain dependency map with this schema: - user_outcome: user, need, success measure, failure moment, and decision owner. - dependency_chain: ordered capabilities with owner, source of truth, evidence, visibility, and dependency type. - critical_links: dependencies that most affect reliability, speed, cost, trust, customer experience, or regulatory exposure. - ai_agent_dependencies: model, context, data rights, tool access, human review, evaluation, and governance dependencies. - risk_register: weak link, likely consequence, evidence, owner, severity, and mitigation. - strategic_implications: what to simplify, standardize, build, buy, instrument, govern, or retire. - review_gates: approvals required before changing systems, contracts, controls, or customer commitments. - next_move: one dependency to verify or instrument next.

Return an evolution operating-model fit check with this schema: - capability_stage_table: capability, suspected stage, evidence, confidence, owner, and review date. - fit_assessment: current operating model, fit or mismatch, symptoms, and consequence. - inertia_sources: what the old model protects and who experiences the cost of changing it. - ai_commoditization_scan: capabilities moving toward commodity, contested layers, and strategic control points. - recommended_changes: method, cadence, budget, staffing, platform, vendor, governance, or quality changes with rationale. - risks_and_tradeoffs: blast radius, reversibility, timing, and second-order effects. - review_gates: approvals required before changing operating model or commitments. - next_move: one experiment, review, or evidence check to validate the fit assessment.

Return a doctrine gameplay decision brief with this schema: - decision: user need, map position, decision owner, deadline, and cost of no action. - doctrine_check: doctrine strengths, gaps, required fixes, owners, and due dates. - gameplay_options: options with fit to evolution stage, control point, evidence, tradeoffs, reversibility, and blast radius. - inertia_analysis: protected old model, affected stakeholders, resistance signals, and evidence required to move. - recommendation: chosen doctrine fixes and gameplay move, sequencing, rationale, acceptance criteria, and stop conditions. - operating_cadence: how the map changes planning, reviews, resource allocation, platform governance, AI adoption, or vendor management. - review_gates: approvals required before commitments or record changes. - next_move: one decision or evidence action due before the next review.