Research & perspective
Thinking built for decisions.
Original research and practical field notes for leaders moving from AI interest to controlled commercial execution.
The AI Revenue Leadership Report
A practical report on AI adoption, pipeline quality, forecast confidence and revenue operating rhythm.
Read the report ↗ Revenue operationsThe Revenue Confidence Gap
Why leadership confidence breaks when pipeline evidence, CRM discipline and operating cadence drift apart.
Read the insight → AI readinessAI interest is not revenue readiness
The questions to answer before AI is allowed to touch customers, pipeline or commercial decisions.
Read the insight → AI executionAI workers need revenue truth
Why automation performs only as well as the commercial evidence, ownership and review system around it.
Read the insight → Revenue operationsThe first 30 days of RevOps
A practical sequence for establishing truth, decision rights and a usable operating rhythm.
Read the insight → LeadershipThe RevOps hiring signal
What the decision to hire Revenue Operations says about the commercial system—and what the role needs to succeed.
Read the insight → Revenue operationsYour first RevOps hire and revenue confidence
How to frame the mandate so the first hire improves decisions rather than inherits organisational ambiguity.
Read the insight →Apply the thinking