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Governance layer (14 docs): - MASTER_OPERATING_PROMPT.md — operating constitution (five planes, six tracks, policy classes) - docs/ai-operating-model.md — five-plane architecture (Decision/Execution/Trust/Data/Operating) - docs/dealix-six-tracks.md — six strategic tracks (Revenue/Intelligence/Compliance/Expansion/Operations/Trust) - docs/governance/execution-fabric.md — OpenClaw execution plane deep dive - docs/governance/trust-fabric.md — trust plane with contradiction engine + evidence packs - docs/governance/saudi-compliance-and-ai-governance.md — PDPL/ZATCA/SDAIA/NCA live controls - docs/governance/technology-radar-tier1.md — Core/Strong/Pilot/Watch/Hold classification - docs/governance/partnership-os.md — alliance lifecycle management - docs/governance/ma-os.md — M&A corporate development lifecycle - docs/governance/expansion-os.md — geographic and vertical growth - docs/governance/pmi-os.md — post-merger integration framework - docs/governance/executive-board-os.md — executive decision surfaces - docs/execution-matrix-90d-tier1.md — 90-day sprint execution plan - docs/adr/0001-tier1-execution-policy-spikes.md — 8 architectural decisions Backend (3 models, 6 services, 8 API routes): - Contradiction Engine — detect/track system conflicts - Evidence Pack System — tamper-evident audit proof with SHA256 - Saudi Compliance Matrix — live PDPL/ZATCA/SDAIA/NCA controls - Executive Room — unified executive decision surface - Connector Governance — integration health monitoring - Model Routing Dashboard — LLM provider metrics - Forecast Control Center — actual vs forecast across tracks - Approval Center — enhanced approval queue with SLA Frontend (9 components): - Executive Room, Evidence Pack Viewer, Approval Center - Connector Governance Board, Saudi Compliance Dashboard - Actual vs Forecast Dashboard, Risk Heatmap - Policy Violations Board, Partner Pipeline Board Tooling: - scripts/architecture_brief.py — preflight validation (40/40 checks pass) - Updated CLAUDE.md and AGENTS.md with governance references https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
162 lines
7.8 KiB
Markdown
162 lines
7.8 KiB
Markdown
# MASTER OPERATING PROMPT — Dealix Sovereign Enterprise Growth OS
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> **Version**: 1.0
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> **Status**: Canonical
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> **Effective**: 2026-04-16
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> **Scope**: All agents, services, documents, and humans operating within Dealix
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---
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## 1. Identity
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**Dealix** is a **Sovereign Enterprise Growth OS for GCC Companies**.
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It is a single platform that manages:
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- **Revenue** — lead-to-cash lifecycle
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- **Partnerships** — alliance scouting to co-sell
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- **Corporate Development / M&A** — target sourcing to PMI
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- **Expansion** — market scanning to post-launch
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- **PMI / Strategic PMO** — Day-1 readiness to synergy realization
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- **Trust / Governance / Executive Decisioning** — policy gates to board packs
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**Central Law**:
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> AI explores, analyzes, and proposes. Systems execute. Humans approve critical decisions. Everything is proven by evidence.
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**Design Philosophy**:
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> Agentic by design, governed by policy, proven by evidence.
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---
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## 2. Five-Plane Architecture
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Every component in Dealix belongs to exactly one plane:
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| Plane | Purpose | Key Code |
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|-------|---------|----------|
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| **Decision** | Strategic reasoning, forecasting, memo generation | `executive_roi_service.py`, `analytics_service.py`, management agents |
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| **Execution** | Durable workflows, task routing, agent dispatch | `openclaw/gateway.py`, `durable_flow.py`, `task_router.py`, Celery workers |
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| **Trust** | Policy enforcement, approval gates, audit, compliance | `policy.py`, `approval_bridge.py`, `hooks.py`, `pdpl/`, `audit_service.py` |
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| **Data** | Storage, retrieval, enrichment, vector search, events | PostgreSQL + pgvector, Redis, `knowledge_service.py`, domain events |
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| **Operating** | Monitoring, self-improvement, deployment, CI/CD | `observability.py`, `self_improvement.py`, `feature_flags.py`, GitHub Actions |
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Full specification: [`docs/ai-operating-model.md`](docs/ai-operating-model.md)
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---
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## 3. Six Tracks
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All work is organized into six strategic tracks:
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| Track | Domain | Owner Focus |
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|-------|--------|-------------|
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| **Revenue** | Lead capture → qualification → deal → close → renewal | Sales & Growth |
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| **Intelligence** | Signal detection, behavior analysis, forecasting, AI agents | AI & Data |
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| **Compliance** | PDPL, ZATCA, SDAIA, sector regulations, audit trails | Legal & Security |
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| **Expansion** | Strategic deals, M&A, partnerships, geographic expansion | Corporate Dev |
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| **Operations** | Deployment, monitoring, connectors, infrastructure | Engineering & Ops |
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| **Trust** | Policy gates, approval SLAs, evidence packs, contradiction detection | Governance |
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Full specification: [`docs/dealix-six-tracks.md`](docs/dealix-six-tracks.md)
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---
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## 4. Policy Classes
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Every action in the system is classified:
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| Class | Behavior | Examples |
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|-------|----------|----------|
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| **A — Auto-allowed** | Execute without approval | `read_status`, `classify`, `summarize`, `research`, `generate_draft` |
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| **B — Approval-gated** | Requires human approval token | `send_whatsapp`, `send_email`, `create_charge`, `sync_salesforce`, `send_contract_for_signature` |
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| **C — Forbidden** | Blocked unconditionally | `exfiltrate_secrets`, `delete_data_without_audit`, `bypass_auth` |
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Implementation: [`backend/app/openclaw/policy.py`](backend/app/openclaw/policy.py)
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**Default rule**: Unknown actions are classified as **Class B** (approval required).
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---
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## 5. Execution Principles
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1. **Decision-native** — Every critical path produces structured output (JSON Schema), not free text.
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2. **Execution-durable** — Workflows checkpoint, resume after failure, and support compensation.
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3. **Trust-enforced** — No sensitive action bypasses the policy gate.
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4. **Data-governed** — All data flows through governed ingestion with quality checks.
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5. **Arabic-first** — All user-facing content defaults to Arabic, with English as secondary.
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6. **Saudi-ready** — PDPL, ZATCA, SDAIA, NCA controls are live, not aspirational.
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7. **Board-usable** — Executive surfaces show what changed, what needs decision, what is at risk.
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8. **Enterprise-saleable** — Evidence packs, audit trails, and compliance matrices are exportable.
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---
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## 6. Non-Negotiable Rules
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1. **Tenant isolation**: Every query is scoped by `tenant_id`. Cross-tenant access is blocked at ORM layer.
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2. **Consent-before-send**: No outbound message (WhatsApp, email, SMS, voice) without verified PDPL consent.
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3. **Audit everything**: Every state change writes to `audit_logs`. Every AI decision writes to `ai_conversations`.
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4. **No overclaim**: Documents must distinguish **Current State** (deployed) from **Target State** (planned). Never claim what is not in production.
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5. **Structured outputs**: All critical memos, scores, and packs use defined schemas, not prose.
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6. **Human-in-the-loop**: Term sheets, signatures, market launches, M&A offers, discounts outside policy, production promotions, and high-sensitivity data sharing require human approval.
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7. **Root-anchored execution**: All scripts and commands execute from repository root. `scripts/architecture_brief.py` is the official preflight.
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---
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## 7. Contradiction Resolution
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When documents or systems conflict:
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1. **MASTER_OPERATING_PROMPT.md** wins over all other documents.
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2. Governance docs (`docs/governance/*`) win over operational docs.
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3. `CLAUDE.md` / `AGENTS.md` win over `memory/` docs.
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4. Code behavior wins over comments about code behavior.
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5. Active contradictions are tracked in the **Contradiction Engine** (`/api/v1/contradictions/`).
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---
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## 8. Technology Radar Summary
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| Tier | Technologies |
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|------|-------------|
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| **Core** (production) | FastAPI, SQLAlchemy, PostgreSQL 16, Redis, Celery, Next.js 15, OpenClaw 2026.4.x, Groq, WhatsApp Cloud API |
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| **Strong** (validated) | Claude Opus, Salesforce Agentforce, Stripe, pgvector, Mem0, LangGraph |
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| **Pilot** (behind flags) | Voice agents, Contract intelligence, Gemini/DeepSeek routing |
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| **Watch** (evaluating) | Temporal, OPA, OpenFGA, Vault, Gong, Apollo |
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| **Hold** (not adopting) | External RAG SaaS, schema-per-tenant, GraphQL |
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Full specification: [`docs/governance/technology-radar-tier1.md`](docs/governance/technology-radar-tier1.md)
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---
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## 9. Document Index
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| Document | Path | Purpose |
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|----------|------|---------|
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| AI Operating Model | `docs/ai-operating-model.md` | Five-plane architecture |
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| Six Tracks | `docs/dealix-six-tracks.md` | Strategic track framework |
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| Execution Fabric | `docs/governance/execution-fabric.md` | Execution plane deep dive |
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| Trust Fabric | `docs/governance/trust-fabric.md` | Trust plane deep dive |
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| Saudi Compliance | `docs/governance/saudi-compliance-and-ai-governance.md` | Regulatory controls |
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| Technology Radar | `docs/governance/technology-radar-tier1.md` | Technology classification |
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| Partnership OS | `docs/governance/partnership-os.md` | Partnership lifecycle |
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| M&A OS | `docs/governance/ma-os.md` | Corporate development |
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| Expansion OS | `docs/governance/expansion-os.md` | Geographic/vertical expansion |
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| PMI OS | `docs/governance/pmi-os.md` | Post-merger integration |
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| Executive Board OS | `docs/governance/executive-board-os.md` | Board reporting framework |
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| 90-Day Matrix | `docs/execution-matrix-90d-tier1.md` | Sprint execution plan |
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| ADR 0001 | `docs/adr/0001-tier1-execution-policy-spikes.md` | Tier-1 policy decisions |
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| Architecture | `docs/ARCHITECTURE.md` | System diagram |
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| Data Model | `docs/DATA-MODEL.md` | Database schema |
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| Agent Map | `docs/AGENT-MAP.md` | 19 AI agents |
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| API Map | `docs/API-MAP.md` | 70+ endpoints |
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---
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## 10. Enforcement
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This document is enforced by:
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- `scripts/architecture_brief.py` — validates document existence and cross-references
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- `backend/app/openclaw/policy.py` — enforces action classification
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- `backend/app/openclaw/approval_bridge.py` — enforces approval gates
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- `.github/workflows/dealix-ci.yml` — runs tests and checks on every PR
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- Contradiction Engine — detects and tracks document/system conflicts
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