Guides
Five layers of AI tooling, and the comms job each one is for
The problem is not that comms professionals are using AI badly. It is that most of them are using one layer of it and assuming that is all there is.
Guides
AI Agents Series
The Pilot Trap: Comms With AI in the Transform Phase
Most AI initiatives in communications do not fail because the tools fail. They fade because nobody owned the change. This final article in the series is about the difference between a clever pilot and a capability that lasts.
AI Agents Series
The Lag Problem: Comms With AI in the Monitor Phase
Most monitoring tells comms teams what happened after the moment to act has passed. The Monitor phase asks a sharper question: how quickly can your team detect, interpret and respond to what is happening now?
AI Agents Series
The Cost of a Miss: Comms With AI in the Govern Phase
Every efficiency gain in the Create phase lands as a workload increase in Govern. More content, produced faster, still has to be checked, approved, and stood behind. This article is about the phase where AI created the problem before it offers any of the solution.
AI Agents Series
The Volume Problem: Comms With AI in the Create Phase
Most AI adoption in communications starts with content creation. The real test is not whether agents can produce more, faster. It is whether agent-assisted work still meets the standard senior communicators would trust in public.
AI Agents Series
The Work Before the Work: Comms With AI in the Strategise Phase
Most AI conversations in communications start with the draft. That framing misses where quality is actually set – in the research, positioning, stakeholder mapping, and message architecture that happens before a single sentence gets written.
Experiments & Applied Learning
AI Agent-Driven Communications: A Practical Framework for Transforming How Comms Teams Actually Work
Most teams use AI tactically. A tool here, a prompt there. The real shift is at the workflow level – and it needs a framework. This article introduces the Comms With AI Operating System: five phases that map how AI-powered communications work actually operates.
Experiments & Applied Learning
How to Build an AI Target Reader – Let An ICP Agent Find the Problems Before Your Audience Does
Build an ICP “target reader” as an AI agent to stress-test headlines, CTAs and template copy in hours – and fix clarity, proof and governance gaps fast.