AI Integration for Web Applications in Morocco

AI features that do real work inside a product — workflow automation, search, and assistants — built with the same engineering discipline as the rest of the platform, not a chatbot widget dropped on top.

Wenix is a 5-person, 100% in-house studio founded in 2025 by Ahmed Aarab and Marouane Tarbi, based in Marrakech, Morocco. Every project ships with real, published PageSpeed scores and full source-code ownership — see verified reviews on Clutch.

What's Included

• Workflow automation — AI handling a specific, well-defined task inside an existing process
• Search and retrieval — where a product needs to surface relevant information from its own data
• Assistants and copilots — scoped to a defined task, with guardrails around what they can and can't do
• Model/API integration — connecting the right model to the product's actual data and permissions

Wenix's own chat widget, running on wenix.co, is one example of this discipline in production: a defined scope, explicit guardrails against prompt injection, and no claims it can't back up.

Who This Is For

Businesses with an existing product (or one being built) where a specific AI feature would remove real manual work — not businesses looking for "an AI strategy" in the abstract.

What We Don't Do

Wenix doesn't position itself as a general AI consultancy. AI Integration is scoped to real features inside real products Wenix is already building or has built.

Related

Part of the Development pillar. See also Website Development, Web Application Development, and Technology Strategy & Architecture.

Common Questions

Do you build custom AI models?

No — this is about integrating existing models and APIs into a product correctly, with the right guardrails, not training custom models from scratch.

Can you add this to an existing platform, not just new builds?

Yes, provided the existing codebase can be reviewed first (see Technology Strategy & Architecture if that review itself needs scoping).

What guardrails do you put in place?

Scoped per feature — for a customer-facing assistant, this typically includes limiting what it can claim, what data it can access, and testing against prompt-injection attempts before launch.