Mark Cameron

Executive resource

AI strategy for executives.

An executive resource from Mark Cameron on the Control Trap, Return on Learning, Learning Velocity, Sense → Reason → Act → Learn, decision latency and leadership depth.

This page preserves a legacy address. The original page text could not be recovered, so it has been rebuilt from Mark’s published frameworks on this site.

01

The Control Trap

The attempt to manage AI uncertainty through central restriction alone, suppressing the distributed learning needed to use it well. A policy can define the boundary; it cannot teach judgement inside it.

Go deeper →
02

Return on Learning

Ask what AI investment has taught the organisation—and whether that learning changed decisions, work and outcomes—not only what it saved. Licences, prompts and pilot counts measure activity; changed decisions measure learning.

Go deeper →
03

Learning Velocity

The rate at which an organisation turns new information into better decisions, changed behaviour and improved outcomes. An interpretive framework, not a standardised metric.

Go deeper →
04

Sense → Reason → Act → Learn

Detect what is changing, make meaning, act while the insight is useful, and feed the result back into the next decision. Find the slowest hand-off and improve it before adding technology.

Go deeper →
05

Decision latency

How long a decision waits between the moment it is needed and the moment it is made. When every ambiguous use requires distant approval, people either stop learning or experiment invisibly.

Go deeper →
06

Leadership depth

Depth appears when experiments connect to strategy, operating systems, capability and repeatable decisions. Leaders need to ask better questions rather than feel pressure to have the answer.

Go deeper →

Bring this conversation to your leadership team.

MarkCameron.com owns Mark’s ideas, definitions, research interpretation, writing, tools and speaking authority. Alyve, which Mark founded and leads, owns commercial AI advisory, transformation delivery, operating-model work, governance delivery, sector solutions and implementation.