system-prompts-and-models-of-ai-tools/salesflow-saas/MASTER_OPERATING_PROMPT.md

MASTER OPERATING PROMPT — Dealix Sovereign Enterprise Growth OS

Version: 1.0
Status: Canonical
Effective: 2026-04-16
Scope: All agents, services, documents, and humans operating within Dealix

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1. Identity

Dealix is a Sovereign Enterprise Growth OS for GCC Companies.

It is a single platform that manages:

• Revenue — lead-to-cash lifecycle
• Partnerships — alliance scouting to co-sell
• Corporate Development / M&A — target sourcing to PMI
• Expansion — market scanning to post-launch
• PMI / Strategic PMO — Day-1 readiness to synergy realization
• Trust / Governance / Executive Decisioning — policy gates to board packs

Central Law:

AI explores, analyzes, and proposes. Systems execute. Humans approve critical decisions. Everything is proven by evidence.

Design Philosophy:

Agentic by design, governed by policy, proven by evidence.

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2. Five-Plane Architecture

Every component in Dealix belongs to exactly one plane:

Plane	Purpose	Key Code
Decision	Strategic reasoning, forecasting, memo generation	executive_roi_service.py, analytics_service.py, management agents
Execution	Durable workflows, task routing, agent dispatch	openclaw/gateway.py, durable_flow.py, task_router.py, Celery workers
Trust	Policy enforcement, approval gates, audit, compliance	policy.py, approval_bridge.py, hooks.py, pdpl/, audit_service.py
Data	Storage, retrieval, enrichment, vector search, events	PostgreSQL + pgvector, Redis, knowledge_service.py, domain events
Operating	Monitoring, self-improvement, deployment, CI/CD	observability.py, self_improvement.py, feature_flags.py, GitHub Actions

Full specification: docs/ai-operating-model.md

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3. Six Tracks

All work is organized into six strategic tracks:

Track	Domain	Owner Focus
Revenue	Lead capture → qualification → deal → close → renewal	Sales & Growth
Intelligence	Signal detection, behavior analysis, forecasting, AI agents	AI & Data
Compliance	PDPL, ZATCA, SDAIA, sector regulations, audit trails	Legal & Security
Expansion	Strategic deals, M&A, partnerships, geographic expansion	Corporate Dev
Operations	Deployment, monitoring, connectors, infrastructure	Engineering & Ops
Trust	Policy gates, approval SLAs, evidence packs, contradiction detection	Governance

Full specification: docs/dealix-six-tracks.md

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4. Policy Classes

Every action in the system is classified:

Class	Behavior	Examples
A — Auto-allowed	Execute without approval	read_status, classify, summarize, research, generate_draft
B — Approval-gated	Requires human approval token	send_whatsapp, send_email, create_charge, sync_salesforce, send_contract_for_signature
C — Forbidden	Blocked unconditionally	exfiltrate_secrets, delete_data_without_audit, bypass_auth

Implementation: backend/app/openclaw/policy.py

Default rule: Unknown actions are classified as Class B (approval required).

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5. Execution Principles

1. Decision-native — Every critical path produces structured output (JSON Schema), not free text.
2. Execution-durable — Workflows checkpoint, resume after failure, and support compensation.
3. Trust-enforced — No sensitive action bypasses the policy gate.
4. Data-governed — All data flows through governed ingestion with quality checks.
5. Arabic-first — All user-facing content defaults to Arabic, with English as secondary.
6. Saudi-ready — PDPL, ZATCA, SDAIA, NCA controls are live, not aspirational.
7. Board-usable — Executive surfaces show what changed, what needs decision, what is at risk.
8. Enterprise-saleable — Evidence packs, audit trails, and compliance matrices are exportable.

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6. Non-Negotiable Rules

1. Tenant isolation: Every query is scoped by tenant_id. Cross-tenant access is blocked at ORM layer.
2. Consent-before-send: No outbound message (WhatsApp, email, SMS, voice) without verified PDPL consent.
3. Audit everything: Every state change writes to audit_logs. Every AI decision writes to ai_conversations.
4. No overclaim: Documents must distinguish Current State (deployed) from Target State (planned). Never claim what is not in production.
5. Structured outputs: All critical memos, scores, and packs use defined schemas, not prose.
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.
7. Root-anchored execution: All scripts and commands execute from repository root. scripts/architecture_brief.py is the official preflight.

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7. Contradiction Resolution

When documents or systems conflict:

1. MASTER_OPERATING_PROMPT.md wins over all other documents.
2. Governance docs (docs/governance/*) win over operational docs.
3. CLAUDE.md / AGENTS.md win over memory/ docs.
4. Code behavior wins over comments about code behavior.
5. Active contradictions are tracked in the Contradiction Engine (/api/v1/contradictions/).

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8. Technology Radar Summary

Tier	Technologies
Core (production)	FastAPI, SQLAlchemy, PostgreSQL 16, Redis, Celery, Next.js 15, OpenClaw 2026.4.x, Groq, WhatsApp Cloud API
Strong (validated)	Claude Opus, Salesforce Agentforce, Stripe, pgvector, Mem0, LangGraph
Pilot (behind flags)	Voice agents, Contract intelligence, Gemini/DeepSeek routing
Watch (evaluating)	Temporal, OPA, OpenFGA, Vault, Gong, Apollo
Hold (not adopting)	External RAG SaaS, schema-per-tenant, GraphQL

Full specification: docs/governance/technology-radar-tier1.md

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9. Document Index

Document	Path	Purpose
AI Operating Model	docs/ai-operating-model.md	Five-plane architecture
Six Tracks	docs/dealix-six-tracks.md	Strategic track framework
Execution Fabric	docs/governance/execution-fabric.md	Execution plane deep dive
Trust Fabric	docs/governance/trust-fabric.md	Trust plane deep dive
Saudi Compliance	docs/governance/saudi-compliance-and-ai-governance.md	Regulatory controls
Technology Radar	docs/governance/technology-radar-tier1.md	Technology classification
Partnership OS	docs/governance/partnership-os.md	Partnership lifecycle
M&A OS	docs/governance/ma-os.md	Corporate development
Expansion OS	docs/governance/expansion-os.md	Geographic/vertical expansion
PMI OS	docs/governance/pmi-os.md	Post-merger integration
Executive Board OS	docs/governance/executive-board-os.md	Board reporting framework
90-Day Matrix	docs/execution-matrix-90d-tier1.md	Sprint execution plan
ADR 0001	docs/adr/0001-tier1-execution-policy-spikes.md	Tier-1 policy decisions
Architecture	docs/ARCHITECTURE.md	System diagram
Data Model	docs/DATA-MODEL.md	Database schema
Agent Map	docs/AGENT-MAP.md	19 AI agents
API Map	docs/API-MAP.md	70+ endpoints

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10. Enforcement

This document is enforced by:

• scripts/architecture_brief.py — validates document existence and cross-references
• backend/app/openclaw/policy.py — enforces action classification
• backend/app/openclaw/approval_bridge.py — enforces approval gates
• .github/workflows/dealix-ci.yml — runs tests and checks on every PR
• Contradiction Engine — detects and tracks document/system conflicts