Can AI do communications strategy on its own?

No. AI is strong at gathering, summarising and stress-testing inputs at speed, which is most of the grunt work in research. The strategic decisions, what to prioritise, what the organisation can credibly say, where the real risk sits, depend on context and judgement that stays with the practitioner.

What should we use AI for at the strategy stage?

Research synthesis, first-draft audience segments, competitor scanning, and pressure-testing messages. Treat every output as a draft to interrogate, not an answer to accept.

Where does Strategise sit in the Comms With AI OS?

It is phase one of five. Strategise feeds into Create, which turns the plan into content. The full cycle is Strategise, Create, Govern, Monitor, Transform, and it loops.

Phase 01 of the Comms With AI OS

Strategise

Strategise is the intelligence and planning layer of AI-powered communications. It is where a comms team uses AI to research audiences, map stakeholders, analyse competitors and build message architecture before anything is produced. AI widens and speeds up the inputs; the strategic judgement stays with the practitioner.

Every campaign and every piece of content is only as strong as the strategic understanding behind it. Strategise sits at the front of the cycle because nothing else holds without it. Used well, AI lets a small team cover ground that used to need a research budget and a fortnight.

What Strategise covers

Audience research and segmentation, stakeholder mapping, competitive and landscape analysis, message architecture, campaign planning, channel strategy, and measurement design.

The work that decides what you are saying, to whom, why it matters to them, and how you will know it worked. Get this layer right and the four that follow have something solid to build on.

AI-assisted, human-approved

Where AI helps

Synthesising large volumes of research, transcripts and coverage into first-pass themes in minutes rather than days.
Drafting initial audience segments and stakeholder maps you can interrogate and correct.
Pressure-testing a message: asking an AI to argue against it, or to read it as a sceptical journalist or a hostile stakeholder would.
Summarising what competitors are saying and where the white space sits.

Where the human stays

The strategic call on what actually matters and what to ignore.
Knowing the organisation, its history, its politics and its risk appetite in a way no model can.
Judging nuance, sensitivity and timing.
Deciding which insight is real and which is a confident-sounding hallucination.

What good looks like

A message architecture grounded in real audience insight, not assumption.
Measurement designed before launch, so you know what success looks like in advance.
AI used to widen the range of inputs, with a named human owning the conclusions.

Put Strategise to work

The Strategise templates pair each workflow with the AI prompt and the human review step that makes the output safe to use. 20 templates, each ready in 15 to 30 minutes.

Browse Strategise templates See the full OS

Next in the cycle: Create

Or talk it through: Consult Comms With AI , £300 for a 45-minute session and a written advisory note.

Frequently asked questions

Can AI do communications strategy on its own?: No. AI is strong at gathering, summarising and stress-testing inputs at speed, which is most of the grunt work in research. The strategic decisions, what to prioritise, what the organisation can credibly say, where the real risk sits, depend on context and judgement that stays with the practitioner.
What should we use AI for at the strategy stage?: Research synthesis, first-draft audience segments, competitor scanning, and pressure-testing messages. Treat every output as a draft to interrogate, not an answer to accept.
Where does Strategise sit in the Comms With AI OS?: It is phase one of five. Strategise feeds into Create, which turns the plan into content. The full cycle is Strategise, Create, Govern, Monitor, Transform, and it loops.