Seven tests before an AI agent belongs in production
A production-readiness checklist for leaders evaluating agentic workflows, tool use, retrieval, human approvals, observability, and recovery.
Read the field noteMojoflow field notes
Ideas for leaders who have to make change work.
Practical perspectives drawn from the operating edge—where strategy, technology, people, and delivery meet.
Private AI is an operating-model decision, not only an infrastructure choice
A practical framework for deciding what should run locally, what can use cloud models, and how to keep evidence, accountability, and recovery intact.
Read the field noteHow a Canadian company should enter the US market
A decision guide for Canadian B2B firms building a credible, evidence-led entry into the United States without treating America as one homogeneous market.
Read the field notePublic-sector GTM engineering: a practical guide for Canada and the USA
How technology and professional-services firms can build a repeatable government-market system across intelligence, capture, procurement, proposals, and learning.
Read the field noteWhen to hire a project rescue consultant
The warning signs, first decisions, and selection criteria leaders should use when a consequential program is slipping or losing credibility.
Read the field noteGTM engineering is different in public and private markets
A practical operating model for engineering repeatable go-to-market systems without pretending government capture and commercial revenue motions work the same way.
Read the field noteWhy AI pilots stall—and the operating decisions that get them moving
A practical framework for moving AI initiatives from disconnected experiments to governed, measurable business outcomes.
Read the field noteThe first 10 days of a project rescue
How leaders can establish the facts, stabilize delivery, reset governance, and create a credible recovery path.
Read the field noteModernization is an operating-model problem
Why technology programs underperform when roles, decisions, workflows, incentives, and change are treated as secondary.
Read the field noteHow to make a remote transformation team feel local
A practical operating model for distributed consulting and delivery teams working across cities, time zones, and organizations.
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