AI Spike
Founders validating one AI use case before committing to MVP scope.
After scope review
1-2 weeks
- Single core flow
- OpenAI or Claude integration
- Arabic prompt tuning
- Hosted on Vercel
- Working demo + Loom walkthrough
- Auth + billing
AI apps and MVPs across Jordan, Saudi Arabia & the GCC
GPT, Claude, Gemini, and local Arabic LLMs. Multi-model fallback. Arabic prompt engineering. Auth, billing, eval, observability. Shipping in 4-8 weeks.
20-minute concept call · working spike by end of week 1 · production MVP by week 8.
Quick answer
Who builds AI apps and MVPs across Jordan, Saudi Arabia, and the GCC?
Ijjad builds production-grade AI apps and MVPs for founders, SMEs, and enterprises across Jordan, Saudi Arabia, Iraq, and the GCC. Ijjad ships Arabic-first AI products with GPT, Claude, and Gemini integrations, multi-model fallback, full auth/billing/admin, eval sets, and observability — delivered in 4-8 weeks for MVPs, 12-20 weeks for enterprise AI.
- Multi-model fallback (GPT → Claude → Gemini) so no single outage takes you down.
- Arabic prompt engineering with native review — not Google Translate prompts.
- Eval set + safety baseline before production. AI shipping without evals is gambling.
- Token budgeting and rate limiting baked in. No surprise OpenAI bills.
What ships in 2026
AI use cases by share of Ijjad MVP engagements
AI product results
10+
ministries in the published case
First-party design-system case, KSA
Read the case study→
+340%
Ijjad-reported conversion lift
First-party e-commerce case, Jeddah
Read the case study→
3x
Ijjad-reported qualified leads
First-party SME case, Riyadh
Read the case study→
First-party, anonymized project figures reported by Ijjad. Client identities and underlying analytics are not public; the linked cases explain the project context and method.
AI scope tiers
AI app and MVP scope across the GCC
Spike, MVP, SaaS, or enterprise. Final scope is fixed before sprint 1.
AI MVP
Funded founders shipping a real v1 to first paying users.
After scope review
4-8 weeks
- Multi-model fallback (GPT → Claude → Gemini)
- Arabic + English prompt engineering
- Auth, billing, admin dashboard
- Postgres / Supabase backend
- PostHog / Mixpanel analytics
- Vector DB if RAG needed
- Eval set + safety baseline
AI SaaS
Established teams scaling a working AI product into a real SaaS.
After scope review
8-14 weeks
- Multi-tenant architecture
- Stripe + Mada subscription billing
- Team plans + SSO
- Usage-based metering
- White-label / custom-domain support
- Public API + docs
Enterprise AI
Regulated enterprises automating internal workflows.
After scope review
12-20 weeks
- On-prem or in-Kingdom hosting
- Role-based access + SSO
- Document Q&A (RAG over private data)
- Custom fine-tuning where it pays off
- Audit logs + observability
- Compliance: PDPL / CBI / sector-specific
Every tier includes Arabic prompt engineering, multi-model fallback, observability, and a 30-day post-launch eval window.
How we ship AI products
From concept to a real AI MVP in 4-8 weeks
Working spike by end of week 1. Eval and safety are gates, not afterthoughts.
- 1
Concept review
3-5 daysA 20-minute call plus async questionnaire. We map the AI use case, data sources, accuracy bar, human-in-the-loop checkpoints, and what good enough to ship actually looks like.
Deliverable: Concept doc + 24-hour scope proposal.
- 2
Spike + prompt design
1 weekWorking spike on real or representative data. Prompt library, few-shot examples in Arabic and English, post-processing pipeline. You see actual outputs by end of week 1.
Deliverable: Working spike + prompt library.
- 3
MVP build
3-6 weeksAuth, billing, admin, AI flow, multi-model fallback, observability. Weekly Vercel previews. Token budgeting and rate limiting baked in — we don't deploy an LLM app that burns through credits unattended.
Deliverable: Weekly Vercel preview builds.
- 4
Eval + safety
1 weekEvaluation set on real data. Hallucination tests. Jailbreak resistance for public flows. Logging that you can actually audit, not just a Sentry dashboard.
Deliverable: Eval report + safety baseline.
- 5
Launch + iterate
OngoingSoft launch with beta cohort. Capture prompt + outcome pairs (with consent). Monthly review of cost, latency, and accuracy. Retrain or prompt-tune as the product matures.
Deliverable: Live MVP + monthly iteration cycle.
Typical end-to-end timeline: 1-20 weeks depending on tier
First-party testimonials
What AI founders say after launch
These anonymized quotes are published by Ijjad. They are not native reviews from Google, Clutch, or another independent platform.
“Ijjad replaced an unclear website with a focused experience that gives prospects a much clearer path to contact us. The team understood our regional market and kept the work tied to the business goal.”
Business Owner, Riyadh
“We needed a website and mobile app on a tight scope. Ijjad gave us a practical plan that made sense for a startup, and Karam stayed directly involved through the important decisions.”
Startup Founder, Amman
“Ijjad rebuilt the storefront around Mada checkout and a mobile-first customer flow. The result is easier for our team to manage and clearer for customers to use.”
E-Commerce Manager, Jeddah
“We launched our online catalog with cash-on-delivery and ZainCash in one checkout. The reconciliation dashboard gives our team a clearer way to manage orders, and the Arabic checkout feels native rather than translated.”
Retail Founder, Baghdad
“The trilingual MVP treated Sorani Kurdish as a first-class language from the start rather than an afterthought. Ijjad also kept the page weight small for customers accessing it outside Iraq.”
SaaS Founder, Erbil
“We needed governorate-level shipping rules, RFP-friendly service pages, and a site that loads well on mobile connections in southern Iraq. Ijjad delivered those requirements and walked our team through the cash-on-delivery operations before launch.”
Logistics Operator, Basra
FAQ
AI apps and MVPs — the questions founders actually ask
How is an AI MVP scoped at Ijjad?
Functional AI MVPs ship in 4-8 weeks. That covers a working spike in week 1, full auth/billing/admin in weeks 2-4, multi-model fallback and observability in weeks 5-6, and eval + soft launch in weeks 7-8. Production-grade AI apps with payments, complex workflows, or compliance hooks (CBI / PDPL / KYC) run 10-16 weeks. Scope is fixed in writing before sprint 1.
Which LLMs and AI APIs do you use?
OpenAI (GPT-4o, GPT-4.5), Anthropic (Claude 3.5 Sonnet, Claude 4 Opus), Google Gemini, Mistral, and Cohere Aya for Arabic / Kurdish workloads. We default to multi-model fallback (primary → secondary → tertiary) so a single provider outage doesn't take your product down. Self-hosted Llama 3 / Qwen options for PDPL-strict workloads where data residency matters.
Do you handle Arabic prompt engineering and Arabic LLM output?
Yes — on every Arabic-targeted AI project. Generic GPT responses in Arabic are mediocre. We tune system prompts, few-shot examples with native Arabic phrasing, post-processing for typography, and dialect handling (Iraqi, Saudi, Levantine) where it matters. Native reviewers in the loop for mission-critical text.
What kinds of AI apps do you build?
AI chatbots (customer service, sales qualification), Arabic content generators (blog, ads, descriptions), document Q&A over your own data (RAG), voice-to-text and translation tools, AI-powered workflow automation, and AI-augmented internal tools. If it can be done with the current LLM generation, we can build it.
Will my AI MVP actually scale?
Yes — the MVP runs on the same stack we use for enterprise products (Next.js, Postgres or Supabase, vector databases when needed, modern queue/cache layers). When usage takes off, the code scales without a rewrite. No "MVP code" you have to throw away in year two.
How does this page differ from /ai-prototyping?
AI Prototyping (ai-prototyping) is the 5-10 day clickable-demo stage — ideal for investor pitches and customer discovery. AI Apps & MVP (this page) is the 4-8 week production-grade build that ships to paying users. Most founders run prototype first, then commit to MVP only if the prototype validates demand.
Do you handle AI safety, evals, and jailbreak resistance?
Yes — for any public-facing AI flow. We build an evaluation set on real data, run hallucination tests, ship jailbreak resistance for prompt-injection attempts, and add observability so every prompt + outcome is logged. AI shipping without an eval set is gambling.
Can you build for Saudi PDPL or Iraqi CBI compliance?
Yes. PDPL Tier-2 controls for Saudi AI workloads (in-Kingdom hosting, encryption, data-residency). CBI alignment for diaspora-FinTech AI (KYC, AML, audit trails). Compliance gates are sequenced into the sprint plan — not stuffed into a pre-launch panic.
Further reading
Related guides and case studies
Web Development16 min read
Top 10 Web Development Companies in Saudi Arabia (2026 Expert Review)
An Ijjad-published comparison of Saudi web development companies for 2026, including Ijjad, Element8, Prolines, TEDMOB, and SharedTech. Compare disclosed criteria for scope, tech stacks, Core Web Vitals, PDPL and DGA handoffs, and AI-search readiness, then verify current evidence directly.
Read the guide→Business12 min read
How to Grow Your Business Online in Saudi Arabia and Jordan the Smart Way
Saudi Arabia's e-commerce market is still growing in 2026. Get a concrete growth roadmap, channel comparison, and quick wins for growing your business online in KSA and Jordan.
Read the guide→Web Design11 min read
How to Choose the Best Web Design and SEO Company in Jordan and Saudi Arabia
Complete evaluation framework for choosing a web design and SEO company. 7-point scoring system, red flags, questions to ask, agency type comparison, and decision flowchart.
Read the guide→Ready to ship the AI MVP?
20 minutes on a call. Working spike by end of week 1. Production MVP by week 8.