The framework at a glance

The Two Clocks

A Framework for Communications
in the Age of AI

Elif Güvençer

Reading this as:

The framework is for leaders willing to think and act on what AI means for their function before someone else's logic defines it for themThe framework is for leaders willing to think and act on what AI means for their agency offer before the client's procurement team defines it for them

Every communications function is running two clocks. Most manage only oneTwo clocks are running. They are faster for agencies

Each AI disclosure is a fee negotiation, whether or not anyone calls it that

Inward-facing

The structural clock

What the function needs to become as AI changes how people find information, perceive companies and make decisionsWhat the agency needs to become: its value proposition, and how it charges when hours no longer hold the value

Where the mandate is redesigned. Few teams run itWhere the offer is redesigned. Few agencies are working on it

Outward-facing

The immediate clock

Monitoring, content and reputation in a world where AI now sits between the organisation and anyone who wants to know about itThe work in front of you. For an agency, that's the client asking how you're using AI

This is where the visible risk lives. Almost every team runs itWhere the client conversation happens. Every agency is already in it

Most communications leaders will prioritise the immediate clock over the structural oneMost agency leaders will prioritise the immediate clock over the structural one

It is a rational response to incentive structures. The immediate clock is where the visible risk lives and where the function's existing credibility is establishedIt is a rational response to incentive structures. The immediate clock is where the account risk is visible, and clients are already judging agencies on how they use AI, or on the fact that they don't

This response is also self-defeating

It is where mandate compression begins, quietly, through a series of decisions that each seem reasonableNot repositioning the offer is what escalates the account risk. Fee compression starts here, quietly, through a series of decisions that each seem reasonable

The framework

Three dimensions sit on the structural clock. Two sit on the immediate clock. Both have to run

Dimensions 01 – 03

The Structural Clock

01 From Production Identity to Strategic IntentIs the function valued for its judgement or its output?Is the agency bought for its judgement or its output?

Communications carries an inherited production identity: a value proposition built on the volume and quality of what it visibly produces. AI is a structural stress test. It exposes whether communications is genuinely upstream, or a sophisticated production operation that has mistaken output for influence. The first move is internal: audit the value proposition, then set the intent.

Every agency carries some production identity: value built on the volume and quality of what it visibly produces. AI is a structural stress test. It exposes whether an agency is bought for its strategic judgement, or whether it is a production operation that has mistaken output for value. The first move is internal: audit what you actually sell, then set the strategic intent for what the agency should become in a world mediated by AI.

02 Redesigning From Intent, Not PressureWhere does the time AI saves go?Does the time AI saves become a fee cut, or new work?

Most functions will use AI to do the same work faster. The redesign discipline is different. Reclaim capacity through automation, redeploy it deliberately upstream, and apply AI strategically to narrow the measurement gap: the distance between what the function measures (outputs) and what it needs to measure (outcomes). Efficiency is the byproduct, not the goal.

Most agencies will use AI to do the same work faster, then hand the saving back in a fee cut. The redesign discipline is different. Reclaim the capacity, redeploy it upstream into work a client cannot buy anywhere else, and price for that. Efficiency is the byproduct, not the offer.

03 The New Capability BaseWhat does the team need to know now that it did not before?What must the team know to advise clients on AI?

The function's existing strengths remain irreplaceable but insufficient. Three new capabilities are required: AI literacy enough to hold governance conversations, reputational risk fluency for systems, not just people, and coherence judgement to read whether the organisation is telling one story or several across the surfaces AI systems draw on.

For leadership teams

AI automation is bearing most heavily on entry and junior roles, the work through which craft and judgement have historically been built. Leaders need a deliberate strategy for how new talent acquires those capabilities. Otherwise the function risks automating itself out of existence.

Your existing strengths remain irreplaceable, and insufficient. The foundation is AI literacy: enough understanding to advise clients on how to build and protect their reputation in a world mediated by AI. That means knowing how AI engines form a picture of an organisation, and how to manage it. It means risk fluency for machines, not just people.

For leadership teams

There is another layer. Redesigning the commercial model so the agency can price and package value when hours no longer carry it, and running that process regularly as AI keeps moving, with minimum disruption to the business or to client relationships.

Dimensions 04 – 05

The Immediate Clock

04 Signal ArchitectureHow do AI systems describe you, and who shapes that?Does AI put you on the pitch list?

A buyer asks an AI assistant for a list of vendors to consider. The system returns a shortlist. That shortlist is not made up of the organisations most visible to AI systems. It is made up of those most eligible, as a result of a consistent signal architecture: signals that hold together across surfaces AI systems draw on. Persuasion no longer starts from a blank page. It starts from a machine-made baseline, built from what AI systems absorbed in training, pull from the web or have been briefed on, before anyone from the organisation speaks. That baseline is the sum of many parts. Reading the sum for coherence is communications work.

A prospect asks an AI assistant which agencies to consider for a pitch. The system returns a shortlist. That shortlist is not made up of the agencies most visible to AI systems. It is made up of those most eligible, as a result of a consistent signal architecture: signals that hold together across surfaces AI systems draw on. Persuasion no longer starts from a blank page. It starts from a machine-made baseline, built from what AI systems absorbed in training, pull from the web or have been briefed on, before anyone from the agency speaks. This now runs in front of your new business pipeline, on whatever is already out there about you.

05 The Trust ConsequenceWhere can AI damage trust before anyone notices?Could an AI slip cost you a client?

The trust consequence is what AI systems do to an organisation's reputation, and how that lands with stakeholders. AI breaks the chain between a decision and its reputational outcome. Consequence can now originate inside the system itself, faster than governance can intervene. Agentic cacophony, one organisation with multiple AI agents and multiple voices, is the new failure mode. Communications brings the second reading of whether the reputational picture holds together, and that reading sits upstream of any single function's AI priorities.

The trust consequence is what AI systems do to an agency's reputation, and how that lands with clients. AI breaks the chain between a decision and its reputational outcome. Consequence can now originate inside the system itself: confidential client data leaking across workspaces, shared AI memory contamination across competing accounts, faster than governance can intervene. For an agency, the consequence is both reputational damage and a lost account.

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