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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
7.9 KiB
7.9 KiB
Dealix Six-Track Framework
Parent:
MASTER_OPERATING_PROMPT.md
Version: 1.0 | Status: Canonical
Overview
All strategic and operational work in Dealix is organized into six tracks. Each track has defined KPIs, current maturity, target maturity, and maps to specific code components.
Track 1: Revenue
Domain: Lead capture → qualification → deal pipeline → closing → post-sale → renewal
Scope
- Intake (website, WhatsApp, email, referrals, forms)
- Enrichment and entity linking
- Qualification / scoring / routing
- Multi-channel outreach
- Meeting orchestration
- Proposal / CPQ / pricing governance
- Contract handoff
- Onboarding handoff
- Renewal / upsell / cross-sell
- Account expansion intelligence
- Actual vs forecast
- Churn / expansion signals
Code Mapping
| Component | File |
|---|---|
| Lead Service | services/lead_service.py |
| Deal Service | services/deal_service.py |
| Sales OS Service | services/sales_os_service.py |
| Revenue Room API | api/v1/revenue_room.py |
| Lead Qualification Agent | ai-agents/prompts/lead-qualification-agent.md |
| Outreach Writer Agent | ai-agents/prompts/outreach-message-writer.md |
| Closer Agent | ai-agents/prompts/closer-agent.md (backend/app/ai/prompts/) |
| Meeting Booking Agent | ai-agents/prompts/meeting-booking-agent.md |
| Proposal Drafting Agent | ai-agents/prompts/proposal-drafting-agent.md |
| Sequence Engine | services/sequence_engine.py |
| Auto Pipeline | services/auto_pipeline.py |
| Predictive Revenue | services/predictive_revenue_service.py |
| CPQ Service | services/cpq/ |
| Signal Selling | services/signal_selling_service.py |
Structured Outputs
LeadScoreCard— score 0-100, signals, recommendationQualificationMemo— structured deal qualificationProposalPack— pricing + terms + value propositionPricingDecisionRecord— pricing rationale + approval statusHandoffChecklist— sales-to-onboarding transition
KPIs
- Pipeline velocity (days)
- Win rate (%)
- Revenue lift vs baseline (%)
- CAC payback (months)
- Forecast accuracy (%)
Maturity: Strong — Core pipeline live, CPQ exists, need unified actual-vs-forecast
Track 2: Intelligence
Domain: Signal detection, behavior analysis, AI agents, forecasting
Code Mapping
| Component | File |
|---|---|
| Signal Intelligence | services/signal_intelligence.py |
| Behavior Intelligence | services/behavior_intelligence.py |
| Meeting Intelligence | services/meeting_intelligence.py |
| Model Router | services/model_router.py |
| Arabic NLP | services/ai/arabic_nlp.py |
| Knowledge Brain | services/knowledge_brain.py |
| WhatsApp Brain | services/whatsapp_brain.py |
| Email Brain | services/email_brain.py |
| LinkedIn Brain | services/linkedin_brain.py |
| Social Media Brain | services/social_media_brain.py |
| Comparison Engine | services/comparison_engine.py |
| Company Research | services/company_research.py |
| OSINT Service | services/osint_service.py |
KPIs
- Model latency p95 (ms)
- Schema adherence rate (%)
- Arabic memo quality score
- Tool-call reliability (%)
- Cost per successful workflow (SAR)
Maturity: Strong — Multi-model routing live, Arabic NLP live, need model routing dashboard
Track 3: Compliance
Domain: PDPL, ZATCA, SDAIA, sector regulations, audit trails
Code Mapping
| Component | File |
|---|---|
| PDPL Consent Manager | services/pdpl/consent_manager.py |
| PDPL Data Rights | services/pdpl/data_rights.py |
| ZATCA Compliance | services/zatca_compliance.py |
| Compliance API | api/v1/compliance.py |
| Consent API | api/v1/consents.py |
| Audit Service | services/audit_service.py |
| Audit Log Model | models/audit_log.py |
| Complaint Model | models/compliance.py |
| PDPL Consent Model | models/consent.py |
| Compliance Reviewer Agent | ai-agents/prompts/compliance-reviewer.md |
| Shannon Security | services/shannon_security.py |
Compliance Controls
- PDPL: Consent lifecycle, data subject rights, cross-border, retention, breach notification
- ZATCA: E-invoicing Phase 2, VAT 15%, SAR formatting
- SDAIA: AI governance registration, explainability
- NCA: Cybersecurity controls, data residency
- Sector: Real estate brokerage, healthcare data, financial services
KPIs
- Consent coverage rate (%)
- Compliance control pass rate (%)
- Mean time to resolve complaints (hours)
- Audit trail completeness (%)
Maturity: Moderate — PDPL engine live, ZATCA basic, need Saudi Compliance Matrix (live controls)
Track 4: Expansion
Domain: Strategic deals, M&A, partnerships, geographic expansion
Code Mapping
| Component | File |
|---|---|
| Acquisition Scouting | services/strategic_deals/acquisition_scouting.py |
| Deal Matcher | services/strategic_deals/deal_matcher.py |
| Deal Negotiator | services/strategic_deals/deal_negotiator.py |
| Deal Room | services/strategic_deals/deal_room.py |
| Ecosystem Mapper | services/strategic_deals/ecosystem_mapper.py |
| Portfolio Intelligence | services/strategic_deals/portfolio_intelligence.py |
| Strategic Simulator | services/strategic_deals/strategic_simulator.py |
| ROI Engine | services/strategic_deals/roi_engine.py |
| Company Profiler | services/strategic_deals/company_profiler.py |
| Company Twin | services/strategic_deals/company_twin.py |
| Deal Taxonomy | services/strategic_deals/deal_taxonomy.py |
| Channel Compliance | services/strategic_deals/channel_compliance.py |
| Territory Manager | services/territory_manager.py |
KPIs
- Strategic pipeline value (SAR)
- Time-to-close for partnerships (days)
- Partner-sourced revenue (%)
- Geographic coverage (markets)
Maturity: Moderate — 15 strategic deal services live, need governance docs and pipeline board
Track 5: Operations
Domain: Deployment, monitoring, connectors, infrastructure
Code Mapping
| Component | File |
|---|---|
| Operations Hub | services/operations_hub.py |
| Go-Live Matrix | services/go_live_matrix.py |
| Observability | services/observability.py |
| Self-Improvement | services/self_improvement.py |
| Feature Flags | services/feature_flags.py |
| Execution Router | services/execution_router.py |
| Integration Sync State | models/operations.py |
| Operations API | api/v1/operations.py |
| Docker Compose | docker-compose.yml |
| CI/CD | .github/workflows/dealix-ci.yml |
| Hermes Orchestrator | services/hermes_orchestrator.py |
| Channel Orchestrator | services/channel_orchestrator.py |
KPIs
- System uptime (%)
- API p95 latency (ms)
- Connector health rate (%)
- Deployment frequency (per week)
- Mean time to recovery (minutes)
Maturity: Moderate — Docker + CI live, need connector governance + model routing dashboard
Track 6: Trust
Domain: Policy gates, approval SLAs, evidence packs, contradiction detection
Code Mapping
| Component | File |
|---|---|
| Policy Engine | openclaw/policy.py |
| Approval Bridge | openclaw/approval_bridge.py |
| Trust Score Service | services/trust_score_service.py |
| Security Gate | services/security_gate.py |
| SLA Escalation | services/sla_escalation_alerts.py |
| Tool Verification | services/tool_verification.py |
| Tool Receipts | services/tool_receipts.py |
| Skill Governance | services/skill_governance.py |
| Outbound Governance | services/outbound_governance.py |
| Approval Request Model | models/operations.py |
| Trust Score Model | models/advanced.py |
| Domain Event Model | models/operations.py |
KPIs
- Approval SLA compliance (%)
- Active contradictions count
- Evidence pack coverage (%)
- Policy violation rate (%)
- Mean time to resolve contradictions (hours)