Al Tayer Group
In-house solution architecture across Harvey Nichols, Bloomingdale’s, GAP, and Banana Republic operations in the GCC.
About the founder
Retail operator, advisor, and forward-deployed AI builder.
I spent two decades inside retail technology programmes before shifting my centre of gravity toward retail AI, governance, and agentic workflows.
The work now is hands-on: research the market, build the workflows, sharpen the topics, and turn them into better advisory decisions.
Current focus
Retail systems, retail AI governance, agentic AI frameworks, and research systems built close to real operating decisions.
Operating proof
Experience earned in live retail programmes.
The strongest founder story is not a generic biography. It is the operating context that explains why this point of view exists and why it is relevant to leadership teams now.
Logic Information Systems / Accenture
Client account and delivery leadership across Alshaya, Panda Retail, Ali Bin Ali, Nahdi, and Extra Stores environments.
OLR Retail
Retail systems and transformation work across Mothercare UK, AX Stores Sweden, and Wiggle UK.
Founder in market
Strategy is useful only when it survives the room it is presented in.
What the work looks like now
Retail transformation blended with agentic AI build work.
Retail transformation and governance
ERP, OMS, pricing, inventory, and AI governance decisions made clearer before execution risk compounds.
Forward-deployed AI engineering
Hands-on agent workflows for retail AI research, evidence review, lead intelligence, and decision-support routines.
Retail AI research frameworks
Pricing, demand sensing, agent governance, ERP modernization, and clienteling turned into usable advisory material.
Topic operating system
A focused topic library that keeps the advisory sharp: retail AI, governance, systems modernization, and operating control.
Build surface
Agentic AI, retail AI research, and living playbooks.
The point is not to name the tools. The point is to build repeatable workflows that produce evidence, decisions, and client-ready material.
01
Agentic AI frameworks
Agent workflows for research, monitoring, lead intake, review gates, and operator-in-the-loop execution.
02
Retail AI topic maps
AI governance, ERP modernization, pricing, demand sensing, agentic commerce, and customer-data control.
03
Living playbooks
Versioned field guides and evidence-backed insights that keep improving from real market work.
Builder and operator
The goal is not one project. It is a repeatable operating system.
What I am building beyond client work
Advisory backed by a working retail AI research engine.
Client work remains the centre of gravity. Around it, I build topic libraries, research workflows, outreach angles, and living playbooks that make the advisory sharper.
Core advisory work
Retail transformation, AI governance, and agentic workflow design grounded in live operating problems.
Retail AI topics
FX-aware pricing, omnichannel inventory, agent governance, EU AI Act exposure, ERP modernization, and clienteling control.
Market-facing proof
The same research base feeds insight pages, outreach angles, and living playbooks.
Next step
Start with the operating question that matters now.
If the issue sits between systems direction, AI governance, autonomous workflows, or execution risk, start with a focused diagnostic rather than a broad innovation conversation.