ME Mohamed Elansary, PhD

The AI workforce, built and run by the engineer himself

I build the AI workforce that runs your business.

“AI Employer” — I build AI employees: autonomous agents, voice AI & automation that run real businesses, in production.

Pl. I Illustrated portrait of Dr. Mohamed Elansary
M. Elansary Engineer, builder of the machine

Every business runs on work that repeats: the call that goes unanswered, the lead that goes cold, the quote that waits, the follow-up nobody sends. I build AI employees that do that work, end to end, every hour of every day. The 24/7 voice receptionist is just the one most businesses feel first.

The full stack, one builder

  • AI agentsAutonomous, multi-agent fleets that do real business work with no human in the loop.
  • Voice AICalls answered, qualified, booked, and followed up. Live, taking real business calls.
  • Automation & workflowsCRM, calendar, email, SMS, payments — the whole stack wired together and running.
  • Full-stack appsProduction web apps, payments and all, shipped end to end.
  • Data & infrastructurePipelines, migrations, and a self-hosted fleet behind it all.

Section one

Specimens
from the field

Real systems running in production. Named by what they do, not by who paid for them.

  1. 01

    The 24/7 voice receptionist

    The flagship. For home-services companies, HVAC, roofing, tree care. Answers on the first ring, qualifies the caller, books the job, texts you the lead before they hang up.

  2. 02

    The WhatsApp booking concierge

    Built for a vehicle dealer. Multilingual. Handles the back-and-forth, holds the slot, confirms the appointment, all inside the chat the customer already uses.

  3. 03

    The quote-and-document engine

    Industrial. Reads the request, drafts the quote, assembles the paperwork, returns a finished document. Hours of desk work compressed into a moment.

  4. 04

    The self-running outreach engine

    A B2B machine that sources, writes, and sends, on its own, with the brakes a human would want. Pipeline without a body in the seat.

  5. 05

    Local lead-gen sites with call tracking

    City by city, service by service. Full-stack sites built to rank, capture the call, and prove exactly where each lead came from.

Section two

What I
actually build

i.

AI voice receptionist flagship

Answers 24/7. Qualifies the caller, books the job, and texts you the lead. The strongest proof of the whole idea: an AI employee taking real calls, right now.

ii.

Autonomous AI agents

Agent fleets that run a whole process end to end, with the brakes a human would want. Real work, no body in the seat.

iii.

Automation & workflows

Bookings, reminders, CRM, email, SMS, payments, and reviews, wired together and running without you.

iv.

Apps, data & infrastructure

Full-stack web apps with payments, the data pipelines that feed them, and the self-hosted fleet they run on. Built end to end, not just a pretty page.

Section three

Why work
with the maker

No agency layer. No account manager relaying your words to someone you will never meet. You talk to the engineer who builds it.

You talk to the builder
No agency, no middlemen, no markup. The person who designs it is the person who answers your questions.
Engineering rigor
A PhD's worth of making-it-actually-work, applied to the systems that run your business.
Built on what you have
Your numbers, your calendar, your tools. The system fits around your business, not the other way around.
Outcomes, not software
The deliverable is a booked job, a captured lead, a process that runs itself. The code is just how I get there.

A live specimen

Talk to an AI agent I built.

Hear the flagship answer, qualify, and book the way it would for your business. The same machine, pointed at a real conversation.

Start the conversation

Book a
15-minute call.

Tell me where the work piles up or slips through. I'll tell you, plainly, whether an AI employee fixes it and what it takes.

mohamed@drelansarym.com Book the call