Fursa
An AI-powered platform helping UAE entrepreneurs plan and launch businesses, with data-driven insight and government API integrations.
View on GitHub →AI Automation Consultant · United Arab Emirates
AI wired into your business, not bolted on as a gimmick.
I find the manual, repetitive work draining your team's time, then design and build automations, using LLM APIs, vision models, and tools like n8n, that actually replace it. No chatbot theater, just fewer hours spent on things a system should handle.
Where AI actually helps
Processes worth automating with AI
Lead qualification & response
Incoming leads scored, routed, and given a first response automatically, so your team only spends time on the ones worth chasing.
Content & document workflows
LLM-drafted content, summaries, and document extraction, with a human review step wherever accuracy really matters.
Customer support triage
Common questions answered instantly, edge cases escalated to a human, and every conversation logged for follow-up.
Internal reporting
Scattered data pulled together and summarized automatically, so decisions get made on current numbers, not last month's spreadsheet.
Relevant builds
AI and automation work I've shipped
Muthakkir
An always-on automated system for Adhan and Adhkar playback, proof of building automation that has to run unattended, reliably.
Visit muthakkir.com →21 repos and counting
See the full portfolio
All projects →FAQ
AI automation consulting, answered
What does an AI automation consultant actually do? +
I look at where your business loses time to manual, repetitive work, then design and build automations, often combining LLM APIs with tools like n8n, that remove that work reliably.
Do I need to already have a tech team? +
No. I work directly with founders and operations teams that don't have in-house developers, handling both the strategy and the implementation myself.
What kinds of processes are worth automating with AI? +
Anything repetitive with a clear input and output: lead qualification, customer support triage, content drafting, document processing, and reporting are usually the highest-value starting points.
How do you avoid AI automation that breaks or hallucinates? +
By keeping a human review step wherever the cost of a mistake is high, using structured outputs instead of free-form text where possible, and testing against real edge cases before anything goes live.
Get started
What's eating your team's time?
Call or WhatsApp me directly and describe the manual work. I'll tell you honestly whether AI is the right fix.