Answer-led essays

Useful judgment for enterprise AI and B2B marketing work.

I write from the operating layer: how a product becomes legible, how a campaign reaches Sales, and how a team can use AI without borrowing certainty it has not earned. These are practical viewpoints grounded in documented work and original notes; each article names its limits.

Enterprise AI adoption and GTM

Make an emerging capability commercially clear before it has a mature launch story.

Role clarity What a part-time CMO does in an enterprise AI pilot Positioning, priorities and evidence in a pilot. Claim discipline How to position an enterprise AI pilot without overclaiming Separate proposition, pilot scope and proof. Workflow design Source-backed AI content operations Build review and ownership into the workflow.

Marketing systems and commercial operations

Connect focus, campaign delivery, Sales action and measurement into a system a team can inspect.

Handoff How to repair a B2B marketing-Sales handoff Carry context, action and proof together. Account focus How to build B2B account prioritisation Turn a broad universe into a usable Sales focus. Measurement How to measure B2B events with imperfect CRM data Reconcile signals without inventing complete attribution.

Applied AI workflow judgment

Choose the work, context and learning loop before being impressed by the tool.

Selection Choosing AI work by outcome, workflow and guardrails The published four-step filter, expanded. Coordination When AI reduces cognitive load and when it adds coordination Inspect decisions and handoffs around the output. Context Why a large context window is not useful context Select, retrieve and review the task input. Learning Strategic patience in a B2B learning loop Preserve a test long enough to interpret it.