AI Leadership
AI is reshaping what students can outsource to a machine, and schools need explicit rules for which cognitive work to protect. Research shows AI helps performance but can quietly erode capability, making "cognitive governance" a leadership decision as much as an educational one.
AI Strategy
Enterprise AI is moving from an experimentation phase into an accountability phase. Taylect argues that the next competitive advantage belongs to organizations that build the measurement, governance, and human capability needed to prove AI's business value, not just adopt it faster.
AI Strategy
As AI spending scales across the enterprise, most organizations still measure usage rather than value. Taylect argues that AI cost management should shift from minimizing spend to identifying which workflows justify spending more, and building the governance to answer that question with evidence.
AI Strategy
As open-weight AI models close the gap with closed frontier systems, the strategic question shifts from which model to choose to where control over AI should live. Leaders need a framework for deciding what to own, outsource, and keep under organizational control.
Recent AI security incidents at OpenAI and Anthropic expose a governance gap: organizations know what AI can do, but not what it's authorized to do. The leadership task now is defining clear authority boundaries for agentic AI before deployment, not building more capable models.
AI Strategy
Microsoft's latest Copilot updates aren't just new features they signal a shift from choosing the best AI model to building an enterprise AI operating layer. The competitive advantage is moving from model selection to organizational capability and governance.
AI Strategy
New research on 500 organizations found a 72-point gap between AI transformation and AI impact. The 18% who won didn't have better tools — they defined what success looked like before deployment. Most measure deflection. Winners measure value created.
Where AI strategy becomes a leadership advantage.
VAR promised better decisions in football. Instead it eroded referee judgment through three quiet stages: decision support, decision expectation, decision dependence. Enterprise AI is following the same path — and most leaders haven't defined where it stops.
Every AI operating in your organization has joined the org chart — but almost none of them have a job description. The Taylect AI Employee Framework treats every AI system like a new hire: defined role, access controls, and a named human accountable for its outputs.
AI doesn't replace communication, critical thinking, and curiosity — it rewards them. Introducing the Taylect 3C Framework for individual capability in an AI-enabled world.
Microsoft's own 2026 research shows 88% of workers use AI regularly, but only 39% see measurable business impact. That 49-point gap is a leadership failure, not a tools problem.
Ten editions of Taylect later, the real story isn't AI strategy. It's the widening gap between AI adoption and AI understanding.
Introducing the Taylect 4R Framework: Rethink, Replicate, Reveal, Refine. Why AI doesn't just change your organization, it exposes what was already there.
If your team can't explain your AI implementation and your customers can't feel the value, you're probably doing it wrong. Here's the simplicity test.
Dispatched from Amsterdam: why the best AI users treat AI as a worker they manage, not a tool they use, and where the real competitive advantage is being built.
Four AI agents completed a credit transaction with no human checkpoint. Here's why most governance frameworks aren't built for agentic AI.
The Oscars just banned AI-generated actors and required human-authored screenplays. Here's the governance framework every organization can borrow.
78% of executives can't pass an AI governance audit. Here's what winning organizations do differently in the next 90 days.
RBC ranks third globally for AI maturity. Here is why Canadian banks' governance-first culture is becoming their biggest AI advantage.