All Episodes
ByteSized — 154 episodes
When Is a Software Investment Actually Worth It?
Root Cause Analysis Comes Before AI
A Good IT Strategy Is More Than New Technology
AI Guardrails for Regulated Industries
Building Trustworthy AI Systems
Your Most Valuable AI Asset Is Your People
How Fortune 500 Companies Are Actually Using AI
How to Separate High Impact AI from AI Hype
What Does High Impact AI Actually Mean?
Where Should Your Business Be on the AI Adoption Curve?
Why ERP Timelines Fail Before the Project Even Starts
How to Validate Requirements Before Go-Live
How ERP Vendors Really Estimate Implementation Timelines
Scope Change or Scope Creep? How to Tell the Difference
What Makes an ERP Timeline Realistic?
The 3 Steps to Buying the Right Enterprise Software
Managing Global ERP Teams: How to Keep Offshore Consultants Accountable
How to Spot a Failing System Integrator Before It’s Too Late
How to Avoid Getting Scammed by Software Vendors
Will SaaS Vendor Lock-In Survive the AI Era?
AI Strategy, Organizational Change, and the Cost of Avoiding Discomfort
Technology Investments: Productivity Gains vs. Headcount Reduction
AI Adoption Requires More Than Automation
Remote vs. Onsite IT: Balancing Talent, Security, and Collaboration
AI, Innovation, and the Next Wave of Entrepreneurial Opportunity
Building AI Capability: What to Outsource and What to Own
Continuous AI Governance and Cybersecurity Risk
AI Governance, Trust, and Verification in the Age of Automation
AI Governance at Machine Speed: Managing Risk in High-Velocity Development
AI Velocity vs. Governance: Scaling Without Creating More Work
The Human-in-the-Loop Imperative for AI Development
AI App Development for SMBs: Opportunity, Risk, and Reality
AI Is Transforming the Software Development Lifecycle
Building AI Readiness Through Skills, Structure, and Governance
Using AI to Improve Implementation and Delivery Strategy
Requirements Matter More Than Vendor Popularity
Release Management Matters More in the Age of AI
Adapting IT Delivery for AI and DevOps Change
Leveraging Institutional Knowledge During ERP Implementations
Spotting Vendor Bias in ERP Decisions
Solving IT and Business Alignment Gaps
Bridging the IT and Business Gap Through Enterprise Architecture
Misaligned IT Governance Creates Shadow IT and Failed Adoption
Technology Fails Without Business and IT Alignment
Misaligned Requirements Break IT Delivery and Enterprise Systems
Why AI Won’t Save a Broken Business
Hero Culture in IT: When Problem Solvers Become the Problem
Culture Creates Technical Debt and Governance Chaos
The Real Cost of Hero Culture in IT and Business
AI Accountability, Shadow Agents, and the Risk of Set-It-and-Forget-It Tech
How Leadership Creates Hero Culture in Technology Teams
Is AI Making You More Confident in Bad Decisions?
Is AI Accelerating Bad Technology Decisions?
Is Your Middleware Helping or Holding You Back?
What If a Tool Doesn’t Fit Your Architecture?
How Should Enterprise Architecture Function in a Growing Organization?
Who Should Own Your Systems and Integrations?
What Does a Healthy Tech Stack Actually Look Like?
Is Your Tech Stack Strategic or Just Bloated?
You Can’t Blindly Trust AI Outputs
AI Fails Without Business and IT Alignment
What Does It Actually Take to Build Your Own AI?
Should You Build or Buy AI for Your Business?
What Should AI Be Allowed to Touch in Your Business?
Is Copilot the Right Tool or Just the Safest Choice?
Who Really Owns Data Quality in Your Organization?
Do You Need Better Data Before You Buy AI?
How to Move AI from Experimentation to Real Business Impact
How Misaligned Data and KPIs Can Break Your Business
What Canada’s IT Failures Reveal About Vendor Accountability
How AI Agents Are Disrupting SaaS Revenue Models
Are You Wasting Millions on Microsoft Copilot?
Is the SaaS Apocalypse Real or Just Market Hype?
Who’s Really Responsible for Shadow IT in Your Organization?
Why There’s No Accountability in Failed ERP Implementations
Organizations Keep Making the Same Technology Mistakes
How Do You Justify the Cost of an ERP Investment?
How Much Should Executives Really Know About Technology?
Why Your Reporting Is Broken Even If Your System Isn’t
Should You Build or Buy AI Agents for Your Business?
Should You Invest in AI Agents?
New Systems Don’t Fix Broken Processes
Are You Replacing Systems Before Understanding the Real Problem?
Are You Solving the Right Problem Before Replacing Your System?
What Value Should You Actually Expect from AI?
Are You Blaming the Wrong Thing in Your Legacy System?
What Are the True Costs of Replacing Your Legacy Systems?
When Is It Time to Move On From a Legacy System?
How Should Maintenance Data Shape Production Planning?
Who Is Responsible for Evaluating Software Risks?
Who Should Own Your Data?
What Does Digital Maturity Look Like on the Shop Floor?
What Does Digital Maturity Actually Mean?
What Becomes Obsolete When AI Runs the Workflow?
What’s Actually Preventing Fully Autonomous AI Agents?
When Does an AI Agent Become a Digital Employee?
If You Built a Company Today, Where Would AI Actually Belong?
Defining AI Agents in Enterprise Software
Designing AI Agents with Clarity and Control
The Rise of AI Agents and the Risk of Over-Automation
Fix Your Data Before AI
The AI Reality Check in Manufacturing
Why Digital Investments Fail to Deliver Real Value
Go Live at Any Cost? Why Speed Is Breaking Your Implementation
Healthy Integrations vs. Expensive Chaos
Data Mapping Is Miserable. Do It Anyway.
Should Every Department Have Its Own System?
Solution Architecture Comes First
Scaling IT Is Not Supposed to Be Easy
Shadow IT Is Costing You More Than You Think
Do IT and the Business Always Need a Translator?
IT and the Business Have to Meet in the Middle
The Moment IT Has to Rethink Its Operating Model
The Hidden Cost of Underestimating Data Mapping
What Transparency You Should Expect From Your System Integrator
Maintaining Visibility in Large Tech Implementations
Requirements Make or Break Software Implementations
Tier 1 vs Tier 2 Integrators: Specialization Over Scale
You Get What You Pay For in Consulting
Your Responsibility When Hiring a Consultant
Why “We’ll Figure Out the Cost Later” Is a Red Flag
What You Should Actually Expect From a Consultant
How to Tell If Your Consultant Is the Real Deal
AI Maturity Curves and the Cost of Overengineering
Context-Aware AI Agent Design for Operational Systems
Task-Based AI Architecture for Complex Industrial Workflows
Process Readiness and Data Discipline for AI Agent Deployment
Designing AI Agents for Predictive Process Control
When End-to-End Technology Breaks Alignment Across the Organization
Disconnected Change Management Undermines ERP and AI Programs
Domain Expertise and Fit-Gap Analysis in Complex SaaS Implementations
Closing the IT Operations Gap for AI and Data
AI Strategy Drift When IT and Operations Build in Parallel
Making Escalation Decisions in SaaS Projects
When to Pause a SaaS Project and When to Push Forward
Cost and Risk of Late Requirement Discovery in SaaS Projects
Governance and Change Intelligence in SaaS Implementations
How to Write Effective SaaS Requirements
Managing Scope Certainty in SaaS Statements of Work
Contracting for Probabilistic AI in SaaS Platforms
Establishing Contractual Authority in SaaS Agreements
Speed vs. Clarity in SaaS Contracting
Can You Really Handle System Ownership in an AI Security Era
The True Cost of Modernization Ownership Risk and Security Tradeoffs
The Real Legacy Risk Losing the People Who Know the System
When Systems “Can’t” Deliver: Product Limits vs Business Priorities
When Legacy Systems Outperform Modern Software
Human–AI Workflows and the Reality of Enterprise Automation
Cutting Through AI Noise with Practical Integration Strategy
Hoe to Measure AI ROI with Real Operational Metrics
Execution Architecture and AI Governance
Shadow IT, sunk costs, and the breakdown of business alignment
Why Experience Still Gets Left Out
Designing for Humans, Not Systems