# Mortakaz Product Discovery & Cloud Integration Proposals

**Source Platform:** [mortakaz.com](https://mortakaz.com) (مرتكز — Arabic Products Platform)  
**Assessment:** Ghayma Cloud Integration Analysis  
**Date:** July 26, 2026

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### Selected Products for Integration Proposals

**Product A:** 🏆 **Workflow (وورك فلو)** — Enterprise SaaS Platform  
**Product B:** 🥈 **Taylor CV (تايلور سي في)** — AI-Powered Career Assistant

These two were selected because they are **cloud-native SaaS applications** with high computational demands, data persistence needs, and clear scalability requirements — making them ideal candidates for cloud platform integration.

---

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# Integration Proposal 1: Workflow (وورك فلو)

## Product Description

**Workflow** is a centralized, multi-tenant SaaS platform designed to unify company management, project tracking, and financial operations into a single dashboard. It targets small-to-medium enterprises (SMEs) and holding companies with multiple subsidiaries.

**Key Features:**
- Task & project management with Kanban boards
- Invoicing, payroll, and financial reporting
- Multi-tenant architecture (each company is isolated)
- Employee management and HR operations
- Real-time collaboration across teams and departments

**Source:** [mortakaz.com/projects/6a2eed27ec1d16fce885476a](https://www.mortakaz.com/projects/6a2eed27ec1d16fce885476a)

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## Integration with Ghayma Cloud (ghaymah.systems)

### How to Integrate

Workflow can be deployed and scaled on Ghayma Cloud's container platform with persistent Block Storage for its multi-tenant data layer. The integration leverages three core Ghayma services:

1. **Ghayma Container Platform** — Host Workflow's backend API and frontend as containerized microservices
2. **Ghayma Block Storage** — Persistent SSD volumes for PostgreSQL database (tenant data, invoices, payroll)
3. **Ghayma Container Registry** — Store and version Docker images via CI/CD pipeline

### Architecture Sketch

```
┌────────────────────────────────────────────────────────────────────────┐
│                        GHAYMA CLOUD PLATFORM                          │
│                                                                        │
│  ┌─────────────────────────────────────────────────────────────────┐  │
│  │                     NETWORKING LAYER                            │  │
│  │                                                                 │  │
│  │   Users ──▶ [DNS] ──▶ [CDN] ──▶ [Load Balancer (L7)]          │  │
│  │                                        │                        │  │
│  └────────────────────────────────────────┼────────────────────────┘  │
│                                           │                           │
│  ┌────────────────────────────────────────┼────────────────────────┐  │
│  │                   COMPUTE LAYER                                │  │
│  │                                                                 │  │
│  │   ┌───────────────┐  ┌───────────────┐  ┌──────────────────┐  │  │
│  │   │   Frontend    │  │  Backend API  │  │  Worker Service  │  │  │
│  │   │  (Vue/Nuxt)   │  │  (Node.js /   │  │  (Background     │  │  │
│  │   │  3 replicas   │  │   Python)     │  │   jobs: payroll, │  │  │
│  │   │               │  │  5 replicas   │  │   reports, email)│  │  │
│  │   └───────────────┘  └───────┬───────┘  └────────┬─────────┘  │  │
│  │                              │                    │             │  │
│  └──────────────────────────────┼────────────────────┼─────────────┘  │
│                                 │                    │                 │
│  ┌──────────────────────────────┼────────────────────┼─────────────┐  │
│  │                    DATA LAYER                                   │  │
│  │                                                                 │  │
│  │   ┌─────────────────────┐  ┌──────────────┐  ┌──────────────┐ │  │
│  │   │  PostgreSQL DB      │  │    Redis     │  │  Ghayma      │ │  │
│  │   │  (Multi-tenant)     │  │   (Cache +   │  │  Block       │ │  │
│  │   │                     │  │   Sessions)  │  │  Storage     │ │  │
│  │   │  ┌───────────────┐  │  │              │  │  ┌─────────┐ │ │  │
│  │   │  │ Tenant A Data │  │  └──────────────┘  │  │ DB Vol  │ │ │  │
│  │   │  │ Tenant B Data │  │                    │  │ 200GB   │ │ │  │
│  │   │  │ Tenant C Data │  │                    │  │ SSD     │ │ │  │
│  │   │  └───────────────┘  │                    │  └─────────┘ │ │  │
│  │   └──────────┬──────────┘                    └──────────────┘ │  │
│  │              │                                                 │  │
│  │              ▼                                                 │  │
│  │   Ghayma Block Storage Volume (persistent across restarts)    │  │
│  └─────────────────────────────────────────────────────────────────┘  │
│                                                                        │
│  ┌─────────────────────────────────────────────────────────────────┐  │
│  │              CI/CD: GitHub Actions → Ghayma Registry           │  │
│  └─────────────────────────────────────────────────────────────────┘  │
│                                                                        │
└────────────────────────────────────────────────────────────────────────┘
```

---

## Value Added to End Users

| Value | Impact |
| :--- | :--- |
| **High Availability** | Multi-replica deployment ensures 99.9% uptime for all tenants |
| **Data Sovereignty** | Hosting on Ghayma (regional Middle East cloud) keeps Arabic enterprise data within the region, complying with local regulations |
| **Auto-Scaling** | Handle tenant growth automatically — from 10 to 10,000 companies without downtime |
| **Persistent Data** | Block Storage guarantees financial records (invoices, payroll) survive any container crash or deployment |
| **Faster Performance** | Regional cloud = lower latency for MENA-based SMEs vs. US/EU-hosted alternatives |
| **Cost Efficiency** | Pay-per-use container pricing scales with actual tenant load instead of fixed server costs |

---

## Potential Challenges

| Challenge | Category | Mitigation |
| :--- | :--- | :--- |
| **Multi-tenant data isolation** | Technical | Use PostgreSQL schemas-per-tenant or row-level security policies |
| **Database backup & DR** | Technical | Schedule Ghayma Block Storage snapshots every 6 hours |
| **Compliance (financial data)** | Commercial | Ensure Ghayma Cloud meets local data residency regulations for financial records |
| **Vendor lock-in** | Commercial | Keep application container-based (Docker) for portability to other cloud providers |
| **Cold start latency** | Technical | Use pre-warmed container pool (min 2 replicas always running) |
| **Integration complexity** | Technical | Gradual migration: start with backend API on Ghayma, keep DB local initially |

---

---

# Integration Proposal 2: Taylor CV (تايلور سي في)

## Product Description

**Taylor CV** is an AI-powered career assistant that helps Arabic-speaking job seekers land their target roles. It uses the user's knowledge base (skills, work history, projects) combined with a specific job description to generate optimized, ATS-friendly resumes and cover letters.

**Key Features:**
- AI-generated customized resumes and cover letters
- Interview preparation (Q&A + mock voice calls)
- Daily learning plans to bridge skill gaps
- Application tracking board
- Multi-language support: Arabic, English, French
- Bring-your-own API key option for free access

**Source:** [mortakaz.com/projects/6a60ad7e3d576288c1011ff2](https://www.mortakaz.com/projects/6a60ad7e3d576288c1011ff2)

---

## Integration with Ghayma Cloud & mithal.space

### How to Integrate

Taylor CV can be deployed on Ghayma Cloud with its AI processing pipeline leveraging containerized microservices. The integration with **mithal.space** (Ghayma's example/demo engine) can provide a public showcase and monitoring dashboard for the service.

1. **Ghayma Container Platform** — Host the web app, API, and AI worker services
2. **Ghayma Block Storage** — Store user profiles, generated documents (PDFs), and conversation history
3. **mithal.space Integration** — Publish Taylor CV as a featured example on mithal.space with live uptime monitoring, demonstrating Ghayma's AI workload capabilities

### Architecture Sketch

```
┌────────────────────────────────────────────────────────────────────────┐
│                        GHAYMA CLOUD PLATFORM                          │
│                                                                        │
│   Users (Job Seekers)                                                  │
│        │                                                               │
│        ▼                                                               │
│   ┌──────────────────────────────────────────────────────────────┐    │
│   │                    FRONTEND LAYER                            │    │
│   │   Taylor CV Web App (Vue/React)                              │    │
│   │   Hosted on Ghayma CDN + Container                           │    │
│   └──────────────────────┬───────────────────────────────────────┘    │
│                          │                                            │
│   ┌──────────────────────┼───────────────────────────────────────┐    │
│   │                API GATEWAY                                   │    │
│   │                      │                                       │    │
│   │         ┌────────────┼──────────────┐                        │    │
│   │         │            │              │                        │    │
│   │         ▼            ▼              ▼                        │    │
│   │   ┌──────────┐ ┌──────────┐  ┌──────────────┐              │    │
│   │   │  Auth    │ │  Resume  │  │  Interview   │              │    │
│   │   │  Service │ │  Builder │  │  Prep Service│              │    │
│   │   │          │ │  Service │  │  (Voice AI)  │              │    │
│   │   └──────────┘ └────┬─────┘  └──────┬───────┘              │    │
│   │                     │               │                        │    │
│   │                     ▼               ▼                        │    │
│   │              ┌─────────────────────────┐                     │    │
│   │              │   AI Processing Queue   │                     │    │
│   │              │   (Background Workers)  │                     │    │
│   │              │   • PDF Generation      │                     │    │
│   │              │   • LLM API Calls       │                     │    │
│   │              │   • Voice Transcription  │                     │    │
│   │              └────────────┬────────────┘                     │    │
│   │                           │                                   │    │
│   └───────────────────────────┼───────────────────────────────────┘    │
│                               │                                        │
│   ┌───────────────────────────┼───────────────────────────────────┐    │
│   │                     DATA LAYER                                │    │
│   │                                                               │    │
│   │  ┌──────────────┐  ┌──────────┐  ┌───────────────────────┐  │    │
│   │  │  MongoDB /   │  │  Redis   │  │  Ghayma Block Storage │  │    │
│   │  │  PostgreSQL  │  │  (Cache  │  │  • User profiles      │  │    │
│   │  │  (User data, │  │   + Job  │  │  • Generated PDFs     │  │    │
│   │  │   resumes)   │  │   Queue) │  │  • Voice recordings   │  │    │
│   │  └──────────────┘  └──────────┘  └───────────────────────┘  │    │
│   └───────────────────────────────────────────────────────────────┘    │
│                                                                        │
│   ┌───────────────────────────────────────────────────────────────┐    │
│   │           mithal.space SHOWCASE INTEGRATION                   │    │
│   │                                                               │    │
│   │  • Live demo page on mithal.space featuring Taylor CV        │    │
│   │  • Uptime monitoring dashboard (99.9% SLA display)           │    │
│   │  • Public API status page for job seekers                    │    │
│   │  • Case study: "AI Workloads on Ghayma Cloud"                │    │
│   └───────────────────────────────────────────────────────────────┘    │
│                                                                        │
└────────────────────────────────────────────────────────────────────────┘
```

---

## Value Added to End Users

| Value | Impact |
| :--- | :--- |
| **Low Latency AI** | Running AI workers on Ghayma's regional cloud reduces round-trip time for Arabic NLP processing |
| **Scalable AI Workers** | Auto-scale GPU/CPU workers during peak job application seasons (graduation, Ramadan hiring) |
| **Data Privacy** | Users' personal career data (skills, work history) stays in-region, not on US servers |
| **Reliable PDF Generation** | Block Storage ensures generated resumes are never lost, even during worker crashes |
| **mithal.space Showcase** | Public visibility as a featured Ghayma Cloud success story drives user adoption |
| **Cost-Effective AI** | Container-based workers spin up only when processing requests, reducing idle compute costs |

---

## Potential Challenges

| Challenge | Category | Mitigation |
| :--- | :--- | :--- |
| **LLM API costs** | Commercial | Implement usage tiers and the "bring your own API key" model to offload costs |
| **Arabic NLP accuracy** | Technical | Fine-tune models on Arabic resume datasets; leverage community feedback from mortakaz |
| **GPU availability** | Technical | Pre-reserve GPU instances on Ghayma Cloud; fall back to CPU for smaller workloads |
| **Voice AI latency** | Technical | Deploy WebSocket-based streaming for real-time mock interviews |
| **User data sensitivity** | Commercial | Implement end-to-end encryption for stored resumes and personal data |
| **Peak load spikes** | Technical | Pre-scale workers during known peak periods (September, January hiring seasons) |

---

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# Final Recommendation: Most Viable Product

## 🏆 Winner: Workflow (وورك فلو)

### Why Workflow is the Most Viable Integration

| Criteria | Workflow | Taylor CV |
| :--- | :--- | :--- |
| **Revenue Model** | ✅ SaaS subscriptions (recurring, predictable) | ⚠️ Freemium with API-key model (uncertain revenue) |
| **Cloud Dependency** | ✅ Critical — needs persistent DB, multi-tenancy, scaling | ⚠️ Moderate — AI can run on any cloud |
| **Data Persistence Need** | ✅ Must-have — financial records, invoices, payroll | ⚠️ Nice-to-have — resumes can be re-generated |
| **Target Market Size** | ✅ Large — every SME in MENA region (millions) | ⚠️ Niche — job seekers (cyclical demand) |
| **Regulatory Fit** | ✅ Financial data residency laws favor regional cloud | ⚠️ Less regulatory pressure |
| **Long-term Stickiness** | ✅ High — companies rarely migrate ERP/management tools | ⚠️ Low — users may switch AI tools easily |
| **Ghayma Revenue Potential** | ✅ High — persistent storage + compute + DB | ⚠️ Moderate — burst compute only |

### Summary

**Workflow** is the most viable because:

1. **It needs the cloud** — A multi-tenant SaaS managing invoices, payroll, and employee data **requires** reliable cloud infrastructure with persistent storage. This isn't optional; it's fundamental.

2. **Recurring revenue for both parties** — Workflow charges monthly SaaS fees, and Ghayma earns from persistent compute + storage. Both revenue streams are predictable.

3. **Data residency is a competitive advantage** — MENA enterprises increasingly require financial data to stay in-region. Hosting on Ghayma Cloud (regional) is a selling point competitors on AWS US-East can't match.

4. **High stickiness** — Once a company moves its invoicing, HR, and project management to Workflow on Ghayma, switching costs are extremely high, creating a long-term customer for both Workflow and Ghayma Cloud.

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> **Report prepared for:** Ghayma Assessment — Product Discovery & Integration section  
> **Last updated:** July 26, 2026
