AI implementation firm led by Daniel Zivkovic | Nasdaq, Siemens, Ford, Loblaw | 25+ years
30 minutes. No pitch. Bring your messiest AI question. I'll give you a straight answer.
Or start with a 90-Minute AI Readiness Check ($3,500)Most AI consultants work in the first half - understand the problem, brainstorm solutions, and prototype. Very few cross all the way to production delivery. That's where the 82-93% failure rate lives. We cover both halves.
What's the real problem? We talk to your users, watch your workflows, understand your constraints. Not what you think the problem is - what it actually is.
Frame the right problem before building anything. This step is getting larger, not smaller, as AI accelerates everything downstream.
Map the full spectrum of solutions - from minimum viable to optimal. Prototype multiple approaches so you can see and choose.
AI-assisted implementation with human judgment at every decision point.
Production-grade, not demo-grade. Security, governance, observability, and cost optimization built in - not bolted on after launch. Google has thousands of engineers to take prototypes to production. Your company doesn't. That's why the Magma Process includes Build and Deliver.
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Book a free 30-minute consultation. No pitch. Bring your messiest AI question and I'll give you a straight answer.
Book a Free ConsultationAfter our conversation, here's how deeper engagements work:
Every executive hears "you need AI" ten times a week. Before you invest in technology, invest 90 minutes in clarity.
A live working session with a senior AI architect - not a pitch, not a slide deck. You walk away with:
100% of this fee is credited toward any follow-on engagement.
Book Readiness Check →Your AI project stalled. The demo impressed leadership, but production never happened. We diagnose why it stalled and either ship it to production or recommend killing it - with a clear alternative, so you stop burning money.
Haven't done a Readiness Check? It's included. Already completed one? Your fee is credited.
Talk to Daniel →A senior AI engineer integrated into your team. Not a contractor who disappears - a partner who ships production systems and leaves your team stronger.
Full spectrum delivery: business requirements through architecture, security, and production hardening. Team enablement built in - your people level up while real work gets done.
Talk to Daniel →AI moves fast. The playbooks we write today need updating as models, capabilities, and risks evolve. Every Magma engagement includes transition documentation - and for teams that want ongoing advisory, we stay connected through flexible retainer arrangements. We don't disappear when the invoice is paid.
We integrate with your team and cover the full spectrum your client needs - from business requirements through architecture, security, and production hardening. Business on Monday, architecture on Tuesday, production on Friday. We've partnered with Google Cloud PSO, Quantiphi, and Intuitive.ai on enterprise engagements for clients like Nasdaq, Siemens, and Ford.
You don't need to hire an AI team. You need someone who understands your business AND can take AI from validated idea to production-grade system - secure, observable, cost-effective. We cover the roles of five hires in one engagement, without the enterprise-grade overhead.
Founder of Serverless Toronto - 5,200+ members, 8 years connecting the dots between AI, data, and cloud.
Our recent meetup trilogy explored the full AI lifecycle: from AI-assisted coding tools, to securing AI-generated code, to the question that matters most: "Will your idea fly?" The full spectrum - from validating what to build, through secure implementation, to production-grade operations - is where the real work lives.
Google Cloud Professional Data Engineer | Professional Cloud Architect | Gen AI L400 Advanced | OWASP Top 10 for GenAI | AWS Certified Solutions Architect
Government of Canada Secret (Level II) Security Clearance
Whether it's an AI initiative that lost direction, a legacy modernization that stalled, or a business need that nobody has translated into a production system - let's find out if we're a fit.
30 minutes. No pitch. Bring your messiest AI question. I'll give you a straight answer.