AI-native
I design the surfaces where people work with AI. Copilots, AI receptionists, automated workflows. At AutoLeap I led an AI repair-order flow and AI Receptionist that helped drive +$4M in enterprise revenue.
Available for work · Portfolio / 2026
Ahmad Bilal
As products learn to think, design has to become auditable.
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Ahmad Bilal · Product Design Engineer & Researcher · Remote, worldwide
Ahmad Bilal builds AI you can audit.
I design AI-native products grounded in research. Every claim is evidence-chained, confidence-scored, and holds up under scrutiny. I've taken 0→1 platforms to enterprise scale at AutoLeap, Careem, and EY, then shipped them to prod.
- Focus
- AI · Research
- Currently
- @ Articos
- Method
- Evidence-first
- Status
- Ships to prod
Abstract
I'm a product design engineer and researcher. I design AI-native products grounded in research, then ship them to production at companies like AutoLeap, Careem, and EY. This page is the evidence. Every figure below is sourced, and the work is built to be audited.
↓ figures carry footnotes · sources listed at the end0→1 builder
Zero to one by default. I built Articos, a protocol-driven AI research platform, from scratch. It validated at 86% theme recall and 7.5× the accuracy of raw prompting.
Researcher
Evidence over opinion. I'm grounded in JTBD / Outcome-Driven Innovation at Strategyn, with published research in IEEE & SSRN. I make findings auditable and defensible for stakeholders.
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Selected work
AI · 0→1 · Lead
Articos: research you can audit in 30 minutes
86% recall · 16,984 users · 10×Enterprise SaaS · AI
AutoLeap: AI-powered growth
+$4M · +15 NPSSupport · Research
Careem Care: tooling for 3,000+ agents
15 countriesUX · Flow
AutoLeap: Digital Vehicle Inspection
18→12 steps · +20% ACVEY · Gov
GovX 2030: Saudi Vision 2030 / EY
20K attendees · 40+ countriesResearch · Tools
Strategyn: JTBD / ODI tools
methodology · SaaSCRO
MobiMatter: conversion optimisation
+10% conversion§02
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Point of view
Design is most valuable when it's defensible.
I'm an AI-native product designer who treats research as infrastructure. I've shipped 0→1 AI products and scaled enterprise SaaS, but the throughline is the same. I turn ambiguous, high-stakes problems into interfaces, and into evidence, that teams can trust.
I work where product strategy, AI capability, and research rigor meet. Then I ship it to prod.
A
Evidence-first
Every claim traces back to a source. Confidence is scored, not asserted.
B
0→1 & scale
From blank-page products to enterprise rollouts across web, desktop and mobile.
C
AI with guardrails
Capability people can trust, audit, and defend internally.
D
Ships to prod
Prototypes that become products, not decks that become slides.
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Research & clients
- Articos
- AutoLeap
- Careem
- EY
- Strategyn
- Saudi Vision 2030
- MobiMatter
"Ship evidence, not opinions. Make the work auditable, and it becomes impossible to argue with."
Notes & sources
- AutoLeap, Principal Product Designer. +$4M revenue influenced across two enterprise accounts; +20% ACV via DVI upsell; +15 NPS; −23% churn. Source: résumé. ↩
- Articos (a Disrupt Labs product), Lead Researcher & Product Designer. 86% theme recall and 7.5× accuracy vs raw prompting, measured on the evaluation harness; 16,984 active users at 10× growth, from product analytics. [verify ↗] ↩
- Careem Care. 3,000+ support agents across 15 countries; issue-resolution time reduced after the unified redesign. Source: project record. ↩
- MobiMatter. +10% conversion rate from checkout optimisation. Source: résumé. ↩