About

Mehmet “Matt” Aygar

Product Design & Management  ·  Agentic UX & Multi-Agent Orchestration  ·  Autonomous Digital Workforces  ·  Blockchain
Mehmet Aygar — Systems Architect & Agentic AI Consultant, Aygar Digital

Mehmet “Matt” Aygar

Over 25 years I have built the digital foundations for some of the world's most demanding organizations — Walgreens, Aon, Allstate, AT&T, W.W. Grainger, CVS Health, Caterpillar, and Procter & Gamble. I've seen every era of the web, every cycle of "this changes everything," and I've shipped through all of them.

I've spent 25 years building the foundations for these enterprises. Now, I'm helping them evolve — resurrecting the institutional logic locked inside their aging systems and handing it to an autonomous agent layer that doesn't sleep, doesn't queue, and doesn't wait for approval.

if it doesn't move the needle, it doesn't ship
25+ Years of Systems Logic
50+ Enterprise Clients
$2B+ Revenue Impacted
Fortune 10 Trust Since 1999
The Philosophy
Most professionals are still building yesterday's plumbing — static grids and passive tools.
I am building the Agentic Future.

Autonomous digital workforces that don't just show data — they act on it. Orchestrated networks of specialized AI agents that research, decide, and execute in parallel, guided at every step by the kind of institutional knowledge that only 25 years in the enterprise trenches can produce.

The shift isn't from waterfall to agile. It isn't from desktop to mobile. This is the shift from human queues to autonomous pipelines — and the enterprises that don't make it will find themselves holding expensive infrastructure with no intelligence inside.

I've built both sides of that equation. I know what a brittle legacy monolith looks like at 2 AM before a Black Friday peak. I also know how to extract its logic, wrap it in cloud-native APIs, and hand it to an agent layer that never has that 2 AM problem again.

The Mission

Resurrect the Legacy.
Deploy the Agent.

My goal is simple: to resurrect legacy systems and turn them into autonomous assets. The institutional knowledge inside your monolith is not a liability — it's the most valuable training data your AI agents will ever have.

01 / Diagnose

Architectural Autopsy

Before a single line of new code, I map the system — every legacy module, every tightly coupled dependency, every data contract that's holding the organization hostage. Law taught me to read the fine print. Systems always have fine print.

02 / Resurrect

Legacy to Cloud-Native

Surgically extract business logic from aging infrastructure. Wrap it in cloud-native APIs. Zero dark-site downtime. The business doesn't pause — it just gains a modern nervous system and an autonomous agent layer waiting to inherit it.

03 / Orchestrate

Deploy the Workforce

Multi-agent pipelines that compress weeks of human effort into minutes. LLM integration (OpenAI, Anthropic, Gemini). Full audit trails, human override layers, and the accountability that a background in law demands of every automated system.

The Receipts

I Built the Foundation.
Now I'm Resurrecting It.

I've spent 25 years building the foundations for Walgreens, Aon, and Allstate. Now, I'm helping them evolve. Every engagement below represents a system that is still running — and waiting to be inherited by its autonomous successor.

W.W. Grainger — B2B eCommerce

+$2,000,000 / Day

Complete redesign of Cart & Checkout, Order Management, and Find & Shop. Reversed rapid market-share decline within 9 months. The logic built here is the blueprint for agentic procurement pipelines.

Brook Furniture — Mobile-First

1% → 40% Conversion

40x conversion lift in the same week of launch. Abandonment reduced to 0.5%. The behavioral and funnel logic we built here now trains our autonomous commerce agents.

Walgreens — Pharmacist Systems

Clinical Workflow Orchestration

Pharmacist iPad app, POS redesign, photo kiosk — multiple mission-critical systems serving millions of patients daily. The healthcare logic embedded here is the data layer for next-generation clinical agents.

Allstate · Aon · CVS · CN Rail · P&G

Enterprise Logic at Scale

Design systems, BI dashboards, intranet platforms, and financial tools built for organizations with billions at stake. Every one of these systems is a candidate for autonomous resurrection.

// Off the record

A Few Fun Facts

01

Started in Law, Ended Up in Code

I studied law before pivoting to digital. That background still shapes how I architect systems — every agent I build has a clear chain of custody, a defined scope, and an exit clause.

02

I've Shipped in Every Era of the Web

Dial-up. Flash. Mobile-first. Cloud-native. Agentic AI. I've shipped through all of it — and I've never once heard "this changes everything" and been wrong about what comes next.

03

I Know What Legacy Production Looks Like at 2 AM

Before a Black Friday peak. Under load. Sweating. I've been that person. It's why I don't just redesign systems — I resurect them so they never have that problem again.

04

I Designed Walgreens' Photo Kiosk at the Store Level

Not a concept. Not a prototype. A touch screen experience used by millions of real customers in real stores — from interaction model to final pixel. That's the kind of scale I think in.

05

I Turned a 1% Conversion Rate into 40% — in One Week

Brook Furniture. Same week of launch. No A/B test. No six-month roadmap. Just deep usability insight, a mobile-first rebuild, and a funnel that actually made sense.

06

I Prefer Outcomes Over Opinions

I don't do "best practices" theater. Every decision I make traces back to a business outcome — revenue lifted, time saved, or a queue eliminated. If it doesn't move the needle, it doesn't ship.

// Next Step

Your Legacy Is
the Competitive Advantage.

The institutional knowledge locked in your monolith is not a liability — it's the grounded data layer your autonomous agents are waiting to inherit. Let's build the bridge.

Start the Conversation

Current Focus: Legacy Resurrection
and Agentic Infrastructure.