Strategic Technology Leadership

AI made strategic.

Helping Fortune 500 and startups unlock the potential of AI, blockchain, and data science to transform operations, enhance decision-making, and drive sustainable growth.

Edward A Johnson • Consultant and Founder • Toronto, Ontario, Canada

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Who I Am

Technology is moving fast. Are you?

Edward Johnson Headshot

I'm a strategic technology leader built for businesses navigating the AI curve. I help teams integrate intelligent systems: strategically, practically, and without the noise.

Twenty years ago, I began my journey watching Fortune 500 companies struggle with digital transformation. I've seen organizations invest millions in technology that sits unused, teams overwhelmed by complex systems, and brilliant innovations that never reach their potential because of poor implementation strategy. I've also seen the transformation that’s possible when strategy, governance, and execution are aligned.

Today I work at the intersection of AI strategy, data governance, and hands-on product development. As a partner at PRAKTIKAI (a Microsoft AI Cloud Partner) I lead engagements that go from whiteboard to deployed production system. I don’t just advise on AI — I build it.

My work spans enterprise clients in manufacturing, financial services, transportation, and retail, as well as early-stage products in trade compliance, agricultural fintech, and decentralized data systems. The through-line is always the same: systems that work reliably in the real world, built on data you can trust.

My Approach

When asked about my approach to solving complex technology challenges and digital transformation, I sum it up in four words:

Think Revolutionary; Act Evolutionary

The first step is to create a bold vision of where you need to be. What do your customers and stakeholders truly need? What does success look like in the future? If we could fully harness the power of AI, blockchain, and data science, what would that enable us to achieve?

That is Thinking Revolutionary

Envisioning breakthrough possibilities that transform how your organization operates, competes, and creates value in the digital economy.

The second half is building the roadmap—step by step. It's about closing the gap between your current state and ideal future through thoughtful, strategic implementation. By developing strong technology strategy and executing incrementally, organizations reshape their market position in ways that directly enhance long-term sustainability.

That is Framing the Evolutionary Steps

Creating practical, measurable milestones that build momentum while minimizing risk and ensuring sustainable adoption across your organization.

Lake Vapour with Plane

Experience & Credentials

Global track record across corporate and startup ecosystems

Fortune 500 Leadership

Strategic roles at Walmart, AIG, UBS, HP, Falcon, and Allianz driving digital transformation initiatives

MBA, Warwick Business School

Advanced business strategy and international management expertise. Data Science graduate and MIT Fintech Alumnus.

Hedera / Cronos / Blockchain Developer

Hands-on development across the Hedera network and multi-agent AI systems. Multiple competitive hackathons including Hedera Ascension, Hedera Africa, and Apex. Certified as a Hyperledger Fabric Developer.

Global Expertise

Fluent in English, German, and French enabling worldwide client engagement

Partner at PRAKTIKAI

Active Toronto-based enterprise consulting practice serving clients across manufacturing, transportation, financial services, retail, healthcare, and telecommunications.

Data Governance: Capital Markets & Enterprise AI

Deep experience in data governance from two decades in capital markets environments, among the most regulated data environments in the world. Applied to AI implementation: data lineage, classification integrity, access control, and audit-ready systems.

What We Do

Strategic guidance across AI, blockchain, fintech, and digital transformation

AI Strategy & Implementation

From strategy development to deployed production system. Identify AI opportunities, build implementation roadmaps, and ensure successful adoption , with data governance built in from the start, not bolted on at the end.

Blockchain Solutions

Practical blockchain development for enterprise and emerging-market applications. Deep expertise in the Hedera network , HCS, HTS, testnet deployment , and experience building multi-agent systems where blockchain solves a genuine trust, traceability, or settlement problem.

Digital Transformation

End-to-end digital strategy from current state assessment through future state design and implementation planning. Specializing in enterprise IT and startup advisory, with particular depth in organizations where data quality and governance underpin transformation success.

Data Governance & AI Readiness

AI is only as reliable as the data behind it. I help organizations establish the data governance foundations that make AI implementations trustworthy, auditable, and defensible, data lineage, classification standards, access controls, and data quality frameworks.

Data Science & Analytics

Transform data into actionable insights through advanced analytics, predictive modeling, and business intelligence. Equally focused on the upstream question: is the data trustworthy enough to act on? Data quality and lineage are part of every engagement.

Technology Leadership

Executive coaching and team development for technology leaders. Project, program, and product management expertise to scale technical teams , drawing on twenty-plus years leading technology functions from startup to Fortune 500 across North America, Europe, and emerging markets.

Selected Work

Strategy without execution is just conversation. Here are examples of work that moved from whiteboard to production.

AI Product Trade Compliance Data Governance

TariffEdge — AI-Powered Tariff Classification

Challenge: Importers face costly delays and errors in HTS tariff classification, with rapidly shifting IEEPA rules creating significant financial exposure on mis-classified goods.

Approach: Built an ensemble classification engine combining multiple large language models with a FastAPI backend, ACE data ingestion pipeline, and Chapter 99 IEEPA-specific logic. Data currency checks and classification audit trails are core to the architecture — every decision is traceable. Developed in partnership with Peacock Tariff Consulting.

Outcome: A production-deployed platform offering automated classification, protest eligibility calculation, and refund analysis via TariffRefunds.com.

Hedera Multi-Agent AI Data Provenance

AgroTrack — Autonomous Agricultural Marketplace on Hedera

Challenge: Smallholder farmers in emerging markets lack access to fair, transparent, and fraud-resistant marketplaces for trading agricultural goods — and many have no smartphone.

Approach: Built a five-agent autonomous AI system operating over SMS, with Hedera Consensus Service providing immutable transaction records and Hedera Token Service handling settlement. Hedera’s auditability is the governance layer — every trade is traceable and tamper-resistant by design.

Outcome: Testnet deployment completed and submitted to Hedera Ascension Hackathon. A demonstration that enterprise-grade AI and data governance can serve the world’s most underserved markets.

AI Agent Microsoft Copilot Studio Enterprise

RFP Opportunity Assessor — Copilot Studio Agent

Challenge: Enterprise teams spend significant time evaluating RFPs before determining fit — a process ripe for intelligent automation.

Approach: Designed and built a Microsoft Copilot Studio agent that ingests RFP documentation and outputs a structured opportunity assessment and qualification scorecard, reducing evaluation time from hours to minutes.

Outcome: Deployed for active client use and now part of PRAKTIKAI’s broader AI agent capability offering.

Frequently Asked Questions

Not anymore. I’ve built and shipped production AI systems including a tariff classification engine used in live import scenarios and an AI agent deployed inside Microsoft Copilot Studio for enterprise RFP evaluation. The bar for “production” in AI has shifted dramatically. My focus is always on systems that run reliably in the real world, built on data that’s governed well enough to trust.

It’s the most expensive mistake I see organizations make. AI built on poorly governed data produces confident-sounding wrong answers — and in regulated industries, that’s a liability, not just an inconvenience. My background in capital markets (UBS, AIG, Falcon Private Bank) means I’ve operated in environments where data lineage, access control, and audit trails weren’t optional. That discipline comes with me into every AI engagement. Governance first, AI second.

That’s exactly the kind of problem I find most interesting. TariffEdge was built in an environment where IEEPA tariff classifications and Chapter 99 codes were shifting in real time. The answer is layered architecture: classification logic that can be updated independently of the underlying model, with data currency checks built into the pipeline. Regulatory change is a governance problem before it’s a technology problem.

Hedera offers enterprise-grade throughput, predictable fees, and a governance model that large organizations — and their legal teams — can actually accept. I’ve built on Hedera Consensus Service and Token Service across multiple projects, and it consistently outperforms alternatives for use cases where trust, auditability, and speed all matter simultaneously. For regulated industries especially, Hedera’s built-in immutability is a data governance asset, not just a technical feature.

Both — deliberately. Working on hackathon-style and emerging-market projects (like AgroTrack, an AI and blockchain marketplace for smallholder farmers with no smartphone access) keeps my thinking sharp in ways that purely enterprise work doesn’t. The best ideas I’ve brought to large clients often came from constraints I encountered building for contexts with almost no resources. That balance makes me a more useful advisor.

Yes, and it’s one of the most interesting intersections I work in right now. The EV sector is simultaneously dealing with rapid growth, complex tariff exposure on imported components, fragmented data infrastructure, and pressure from utilities, regulators, and fleet operators all at once. That combination of AI, trade compliance, and operational data is exactly where I add the most value. If you are working anywhere across the EV value chain — from component import to fleet deployment to grid integration — let’s talk.

Get in touch.

Curious about what strategic technology leadership could do for your business? Let's talk.
No pressure. No jargon. Just a conversation to understand where you are and where you're trying to go.

Based in: Toronto, Ontario, Canada
Availability: Global projects welcome