Ibrahim Hasan
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العربية

Selected work

What changed—and why.

Selected cases across distinct sectors. Each sets out the operating context, challenge, what changed, and practical impact.

Project categories

2 matching projects

Digi Pedia Arabic AI learning platform interface
AI education & knowledge 01
Digi Pedia logo

Digi Pedia

An Arabic knowledge platform helping professionals, creators, and entrepreneurs understand AI tools and put them to practical use.

  • AI literacy
  • Knowledge access
  • Learning community
The challenge
Arabic-speaking audiences needed an organized, current path from discovering tools to understanding them and choosing what fits their work.
What changed
The experience was organized around a curated tool directory, practical learning paths, community participation, and a sustainable access model.
Practical impact
A clearer path for Arabic-speaking audiences to discover, compare, and apply AI tools in practical contexts.
Agt. Rafeeq AI assistant
AI assistants for content platforms 02
Agt. Rafeeq logo

Agt. Rafeeq

An embeddable AI assistant for websites and platforms that understands evolving content and answers users within its scope, with customizable behavior, branding, and instructions.

  • Hybrid search
  • Source-backed answers
  • Flexible integration
The challenge
Content platforms struggled to deliver immediate, accurate answers from evolving sources, while custom-built solutions increased development costs and the risk of unsupported responses.
What changed
Agt. Rafeeq brought structured data, documents, and evolving sources into an embeddable assistant, using hybrid search to deliver source-backed answers, links, and cards from actual content.
Practical impact
A more reliable way to access knowledge within content platforms, with clearer control over answers, sources, quality, and the user experience.

Common entry points

Where the work usually starts.

01

Digital Transformation Strategy

Scattered digital initiatives, tools bought before the process is understood, and results that are hard to measure or maintain.

 02

AI Adoption Engineering

AI demos that look impressive but are inaccurate, unsafe, or hard to rely on in real operations.

 03

Data Governance & Strategy

Scattered data, ambiguous ownership, unclear permissions, and quality that is not enough for reliable decisions.

 04

Systems & Automation Architecture

Work spread across scattered tools, spreadsheets, and messages, with fragile flows that are hard to explain or evolve.

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