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Track 1 — Truth Lock: docs/current-vs-target-register.md: Full subsystem maturity register (73 Production, 27 Partial, 2 Pilot, 32 Target, 6 Watch = 52.1% maturity) Track 2 — Document Consistency: docs/governance/document-consistency-audit.md: All 6 checks PASS (no dangling refs, no overclaim, all paths root-safe, naming consistent) Track 3 — Decision Plane: backend/app/schemas/structured_outputs.py: 17 Pydantic schemas with Provenance (LeadScoreCard, QualificationMemo, ProposalPack, PricingDecisionRecord, PartnerDossier, EconomicsModel, ApprovalPacket, TargetProfile, DDPlan, ValuationMemo, SynergyModel, ICMemo, BoardPackDraft, ExpansionPlan, StopLossPolicy, PMIProgramPlan, ExecWeeklyPack) Track 4 — Execution Plane: docs/governance/workflow-inventory.md: 8 short + 8 medium + 6 long-lived workflows classified. 3 Temporal candidates with compensation logic. Track 5 — Trust Fabric: docs/governance/trust-closure-plan.md: 5 live components + Watch adoption criteria for OPA/OpenFGA/Vault/Keycloak Track 6 — Data & Connectors: docs/governance/connector-standard.md: Connector facade contract, semantic metrics dictionary, radar additions (Airbyte, Unstructured, Great Expectations) Track 7 — Operating Plane: docs/governance/operating-plane-checklist.md: GitHub governance, CI/CD enhancements, CODEOWNERS template, OIDC/attestation roadmap Track 8 — Saudi/GCC: docs/governance/saudi-enterprise-readiness.md: PDPL processing register, data classification, NCA ECC readiness, OWASP LLM Top 10, NIST AI RMF Track 9 — Executive Surfaces: docs/governance/executive-surface-closure.md: Wiring plan with real data queries for Executive Room, Approval Center, Compliance Dashboard Track 10 — Market Dominance: docs/governance/market-dominance-plan.md: 3-tier packaging (Core/Strategic/ Sovereign), ROI narrative, competitive wedge, capability moat map, executive sales stories (CEO/CTO/CFO/CISO) Master Checklist: docs/tier1-master-closure-checklist.md 50 items total — 25 Done (documentation), 25 Target (runtime/integration) https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
131 lines
4.9 KiB
Markdown
131 lines
4.9 KiB
Markdown
# Executive Surface Closure Plan — Track 9
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> **Parent**: [`executive-board-os.md`](executive-board-os.md)
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> **Plane**: Decision | **Version**: 1.0
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---
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## Objective
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Transform executive surfaces from placeholder UIs into real-data-driven decision tools used weekly by at least one stakeholder.
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---
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## Surface Inventory & Wiring Status
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| Surface | Frontend | API | Real Data? | Priority |
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|---------|----------|-----|-----------|----------|
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| Executive Room | `executive-room.tsx` | `executive_room.py` | Placeholder | P1 |
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| Approval Center | `approval-center.tsx` | `approval_center.py` | Placeholder | P1 |
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| Evidence Pack Viewer | `evidence-pack-viewer.tsx` | `evidence_packs.py` | Placeholder | P2 |
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| Saudi Compliance Dashboard | `saudi-compliance-dashboard.tsx` | `saudi_compliance.py` | Seed data | P1 |
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| Actual vs Forecast | `actual-vs-forecast-dashboard.tsx` | `forecast_control.py` | Placeholder | P2 |
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| Risk Heatmap | `risk-heatmap.tsx` | Aggregated | No data | P2 |
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| Policy Violations Board | `policy-violations-board.tsx` | From contradictions | No data | P2 |
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| Connector Governance Board | `connector-governance-board.tsx` | `connector_governance.py` | Known connectors | P1 |
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| Partner Pipeline Board | `partner-pipeline-board.tsx` | From `strategic_deals` | Partial | P2 |
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---
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## Wiring Plan: Executive Room (P1)
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The Executive Room API (`GET /api/v1/executive-room/snapshot`) needs to aggregate from real services:
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```python
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# Target implementation for executive_room.py
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async def build_snapshot(db: AsyncSession, tenant_id: str):
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return {
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"revenue": await analytics_service.get_revenue_summary(db, tenant_id),
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"approvals": await count_approval_status(db, tenant_id),
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"connectors": await connector_governance.get_health_summary(db, tenant_id),
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"compliance": await saudi_compliance_matrix.get_posture(db, tenant_id),
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"contradictions": await contradiction_engine.get_stats(db, tenant_id),
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"strategic_deals": await count_strategic_deals(db, tenant_id),
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"evidence_packs": await count_evidence_packs(db, tenant_id),
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}
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```
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### Data Source Mapping
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| Section | Query | Table(s) |
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|---------|-------|----------|
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| Revenue actual | SUM(deals.value) WHERE status='won' | `deals` |
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| Pipeline value | SUM(deals.value) WHERE status IN ('open','negotiating') | `deals` |
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| Win rate | COUNT(won) / COUNT(closed) | `deals` |
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| Pending approvals | COUNT WHERE status='pending' | `approval_requests` |
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| SLA warning | COUNT WHERE deadline < now+4h AND status='pending' | `approval_requests` |
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| Connector health | GROUP BY status | `integration_sync_states` |
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| Compliance posture | FROM `saudi_compliance_matrix.get_posture()` | `compliance_controls` |
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| Active contradictions | COUNT WHERE status IN ('detected','reviewing') | `contradictions` |
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| Strategic deals | COUNT WHERE status='active' | `strategic_deals` |
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| Evidence packs ready | COUNT WHERE status='ready' | `evidence_packs` |
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---
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## Wiring Plan: Approval Center (P1)
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The Approval Center needs to query real `ApprovalRequest` records:
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```python
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# Target query
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SELECT * FROM approval_requests
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WHERE tenant_id = :tid AND status = 'pending'
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ORDER BY
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CASE priority
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WHEN 'critical' THEN 1
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WHEN 'high' THEN 2
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WHEN 'normal' THEN 3
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WHEN 'low' THEN 4
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END,
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created_at ASC
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```
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### Required Model Enhancement
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Add to `ApprovalRequest` in `models/operations.py`:
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- `sla_deadline_at` (DateTime) — when approval must be completed
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- `escalation_level` (Integer, default 0) — current escalation
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- `category` (String) — deal, message, integration, billing, compliance
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- `priority` (String) — critical, high, normal, low
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---
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## Wiring Plan: Connector Governance Board (P1)
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Already partially wired:
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- `ConnectorGovernanceService` returns known connectors + registered states
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- Needs: live health probes for active connectors (WhatsApp API check, Stripe status, etc.)
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---
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## Wiring Plan: Saudi Compliance Dashboard (P1)
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Already partially wired:
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- `SaudiComplianceMatrix` seeds default controls
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- Needs: live checks that update control status from real service results
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- Example: PDPL-C01 should query consent coverage from real `consents` table
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---
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## Board-Ready Export Path
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### Requirements
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1. Any executive surface can export to JSON
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2. Evidence packs export to PDF (via WeasyPrint with Arabic RTL)
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3. Board pack combines multiple surfaces into single PDF
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### Implementation
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- JSON export: Already supported (API returns JSON)
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- PDF export: Use `invoice_generator.py` pattern (WeasyPrint)
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- Board pack: New service that calls all surfaces and renders combined PDF
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---
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## Gate: Executive Surface Closure
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- [ ] Executive Room shows real revenue, approvals, compliance data
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- [ ] Approval Center queries real ApprovalRequest records
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- [ ] Saudi Compliance Dashboard runs real checks
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- [ ] Connector Governance Board shows actual connector status
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- [ ] At least one surface used in a real weekly review
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- [ ] Board-ready export path works for at least one surface
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