AI & Intelligent Automation
From conversational AI agents and knowledge Q&A engines to agentic AI workflows, generative AI applications, and AI-powered marketing — we build intelligent systems that transform how businesses operate and serve their customers.
Why this matters
Most Saudi enterprises sit on years of customer data, internal knowledge, and operational signals that the team can't reach without a query specialist. ChatGPT-style demos are easy; production-grade AI that answers from your data, respects your access controls, and survives regulator scrutiny is the actually hard part. Mantiqi builds the AI layer that turns your existing systems — CRM, ERP, document stores, call recordings — into things your team can ask questions of, in Arabic and English, with citations back to source.
What We Deliver
How we deliver
- 01
Use-case workshop
Week 1We sit with your team for two half-day sessions, map your current information bottlenecks, and pick the 1–2 highest-leverage use cases to build first. You leave with a written scope, success metrics, and a build plan you can hand to procurement.
- Use-case scorecard (effort × impact)
- Data-source inventory + access plan
- Model + hosting recommendation
- Written scope and success metrics
- 02
Data + retrieval foundation
Weeks 2–3We connect to your data sources, build the embedding + retrieval layer, and wire up evaluation harnesses before a single user-facing message. Cheap to fix problems here; expensive to fix them after launch.
- Vector store + retrieval pipeline
- Eval set + automated grading
- Access-control + audit logging
- Arabic + English language coverage
- 03
Production rollout
Weeks 4–6We ship the first agent / chatbot / Q&A surface to a pilot group, instrument it end-to-end, and run weekly review sessions to sharpen prompts, retrieval, and guardrails based on real usage.
- Production-deployed surface (web / WhatsApp / Teams)
- Observability dashboard with latency + grounding metrics
- Guardrails for PII, off-topic, and refusal paths
- Weekly evaluation reviews
- 04
Scale + handover
OngoingWe expand to additional use cases as you find them, train your team to own day-to-day operations, and move the model + infra to whichever cloud (Azure KSA, AWS Bahrain, on-prem) your compliance team prefers.
- Internal team training + runbooks
- Cost optimization + model tier-down
- Quarterly model + retrieval refresh
- Optional managed-operations tier
Frequently asked questions
All of the above — we pick per use case. Customer-facing chatbots usually run on Claude or GPT for tone and reasoning quality. Internal document Q&A often runs on smaller models (Llama, Qwen) we host inside your tenant for cost and data-residency reasons. We can also run hybrid: a small router model decides which tier to escalate to.
Still have questions?
Our team is ready to help. Reach out and we'll get back to you as soon as possible.
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Free offer
Free AI use-case scorecard
Send us a short note about what you'd want AI to do for your business. We'll send back a written scorecard ranking your top 3 use cases by effort × impact, with a rough build estimate for each. No sales pitch.
Discovery + scope is fixed-fee from SAR 15,000. Production builds are scoped per use case, typically SAR 80,000–250,000 for a first deployment. Ongoing model + infra runs in the SAR 2k–20k/mo range depending on volume.
Get the scorecard