AI Accelerates. Architecture Governs.
- AI shouldn't improvise enterprise architecture
- Customer-specific functionality changes. The architectural discipline does not.
- Production is earned through integration, hardening and acceptance, not claimed
Company
AboutfazeZERO
We turn enterprise requirements into deployable applications using a reusable architecture, a proprietary generation system and a large inventory of pre-engineered application foundations.
Our Story
How We Got Here
fazeZERO began in enterprise transformation and digital-asset application work. That work forced us to solve hard problems again and again: APIs, identity, governance, integration, deployment, evidence and enterprise architecture.
Over roughly two years, those solutions became a reusable application architecture and an AI-assisted generation system. We have used it to build hundreds of tested, deployment-ready application foundations across many domains.
So we didn't simply pivot from blockchain to AI. We moved from a technology-specific consulting identity to an industrialized application-engineering model. Digital assets are now one industry among many, and one where we have especially deep production knowledge.
Principles
What We Believe
We Don't Start from a Blank Repository
- Start from the closest application foundation
- Scope the customer-specific delta before building
- Customers pay for application outcomes, not consulting hours
Prior Roles
Who Does the Work
Prior roles. Not fazeZERO client case studies.
BMO
Five years on Real-Time Rail, ISO 20022, payment hubs, Interac, and 24/7 operating standards.
CIBC
Payments and FX platform modernization toward cloud-native / microservices without breaking regulatory or continuity obligations.
CGI
Senior director. Technology governance on a large banking account.
IBM
Chief architect on a greenfield mobile launch — zero to four million subscribers in six months.
Saudi Banking
Prior Saudi banking consulting engagements (institution names not listed here).
Milestones
Timeline
01
2017
Company origins in enterprise transformation.
02
2019
Founder visibility and a digital-asset focus.
03
2024–2026
A reusable application architecture and an AI-assisted generation system, refined across a growing application portfolio.
04
Today
An enterprise AI application factory, focused on GCC enterprises and their partners.
Next Step
Bring Us the Business Problem
Bring us the business problem. We map it to an existing application foundation — or generate the missing one — then configure, integrate and productionize it on a proven architectural system.
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