Who Checks the Work?

The work looks ready

A campaign arrives on the screen. The image is striking, the headline reads well and the presentation makes the idea easy to approve. The brief has become something tangible. Everyone can see the progress.

Then someone asks what the campaign was supposed to achieve. The discussion returns to the audience, the position the company wanted to establish and the business problem that prompted the work. Somewhere between the brief and the finished execution, an important part of that intention has disappeared.

Nothing in the image announces the problem. The work still looks good. It may even be more immediately attractive than an execution that preserves the original idea. Its weakness becomes visible when it is examined against the reason the company commissioned it.

AI makes this a particularly important management question. It can help produce the work, develop variations and carry a promising direction much further. A company also needs a way to establish whether all that production is taking it towards the outcome it intended.

Who builds the AI that checks the work?

A beautiful answer to a different brief

Consider a company that wants to attract a small number of serious clients for complex projects. Its value lies in understanding a business problem, shaping the product and connecting the systems needed to deliver it. The campaign needs to make that depth understandable to someone with a consequential decision to make.

A Creative Studio receives the brief and produces a compelling execution. The visual is polished. The copy becomes shorter, sharper and easier to act on. As the idea develops, however, the offer begins to sound like quick, inexpensive app development.

There is a plausible commercial argument for the change. Speed is easy to communicate. A simple offer is easy to compare. The campaign could attract attention. But it is now inviting the audience to judge the company on a different basis from the one the strategy established.

The company wanted conversations about the business behind the product. The execution encourages comparisons about how quickly someone can build an app. That shift affects who enquires, what they expect, which alternatives they consider and what they believe the work should cost.

Reviewing grammar, composition and visual quality will not resolve that problem. The evaluation needs to return to the commercial intention. It needs enough context to recognise that an appealing creative decision has changed the meaning of the offer.

The marketing agent has a different responsibility

In the creative workflow behind this thinking, the Creative Studio produces the work and a marketing agent reviews it. The distinction matters. Producing an execution and evaluating its relationship to the strategy are different responsibilities, even when both use AI.

The marketing agent needs access to the purpose of the brief, the intended audience, the brand position and the response the work is meant to create. It examines what has been produced with those commitments in view. A useful finding explains the departure and gives the next revision a reason.

For the campaign above, that finding could be: “This execution may attract interest, but it presents the business as a fast app-development supplier. The agreed strategy is to attract clients who need product and company architecture. Rework the promise so that speed supports the offer without becoming the reason to choose it.”

That is a different contribution from asking for a stronger headline. It protects something that can be lost while the work becomes more polished. The creative team can then revise with a clearer understanding of what needs to survive.

Building that reviewing intelligence takes its own work. Someone has to define the standards, make the relevant context available and decide what the system should do when the execution and the strategy pull in different directions.

Lokal makes the company behind the work visible

Lokal's promise, “Before You Decide, Ask a Lokal.”, gives a practical example of how much meaning a brief can carry. The app connects travellers with people who know the city. The operating architecture around that experience includes Creative Studio™, Recruitment™, Safety Engine™, Ops™, Local Success™ and Guide Studio™.

These operating products give different business responsibilities a defined place. Together, they illustrate why the purpose of the company has to remain available throughout the work. A useful marketing execution, a recruitment workflow and an editorial brief all need to make sense in relation to the experience the traveller is meant to receive.

Imagine a campaign brief intended to encourage a traveller to ask someone about a decision: a neighbourhood, a hotel or a plan. The creative work develops into a beautiful vision of a trip planned entirely on the traveller's behalf. It may be an attractive proposition, but it has moved away from the relationship described in the brief.

A marketing review should be able to identify that shift. What will the audience now believe the product does? Does the work explain the role of a Lokal? Does it give the traveller a reason to ask before deciding? Those questions connect creative decisions to the product's promise.

The Lokal case follows the operating architecture around the app: where work enters, what context guides it, how it is reviewed and who owns the next decision. It connects the promise the traveller sees with the responsibilities needed to support it.

Completed work can leave the original need unresolved

The same principle can be examined across the operating model. Recruitment can produce city research, candidate context and outreach drafts. The company still needs to examine whether that work addresses the participation needs of the city and supports the kind of local experience it wants to offer. Activity alone does not answer those questions.

Guide Studio can carry local knowledge through an editorial brief and review. A piece of city content might be engaging while giving a traveller little help with the decision that prompted the search. A useful evaluation asks what the reader will understand or be able to decide after reading it, and whether the content belongs to the role Lokal is meant to play.

Local Success connects evidence about readiness to development and follow-up. Here, the purpose behind a task matters as much as its completion. A finished development activity should lead back to the need that made it necessary. What evidence would show that the need has been addressed? What still requires attention?

Ops holds the view across responsibilities: what needs action, who owns the next step and which exception needs a decision. That wider view matters because work can move efficiently through individual functions while the issue that concerns the company remains open.

These are evaluation questions for a company to design into its systems. Each one requires its own evidence and decision boundaries. The useful ambition is to keep the outcome behind the assignment visible as the assignment moves through production.

The brief needs a memory

A brief often contains the conclusion of a longer conversation. It can say what to make without preserving why a particular direction was chosen, which audience was deliberately excluded or which earlier idea the company decided to leave behind.

That missing history becomes important during evaluation. An attractive suggestion might repeat a decision that was already examined and rejected. A small visual change might remove a recognisable brand character. A simpler message might erase the distinction the company most needs the market to understand.

The reviewing AI needs access to the relevant decisions and their reasons. The approved strategy, brand references, audience choices and business objective should be available as working context. Their status should be clear: an approved direction carries a different weight from an idea being explored.

That context also needs maintenance. A strategy can change, and new evidence can justify a different approach. The system should make the proposed change and its implications visible so that someone responsible can decide. A shift in direction deserves a decision; it should not arrive unnoticed as a side effect of production.

Turn intention into an evaluation

An instruction to “make sure this is on strategy” leaves too much unexplained. The company needs to translate the intention into questions the evaluator can actually examine. For a campaign, those questions might concern the audience being addressed, the promise being made, the distinction being communicated and the next action being encouraged.

The AI then needs to connect its findings to the work. If it believes the campaign addresses the wrong audience, it should identify the wording or visual choice that creates that impression and refer back to the agreed audience. If it believes the product promise has changed, it should explain what the audience is likely to understand differently.

This gives disagreement a practical purpose. The output is a finding with a reason and a proposed next step. It can return the work for revision, identify missing context or raise a strategic question that the brief itself has not resolved.

Some judgments will remain uncertain. An evaluator can explain why an execution appears consistent with the strategy without proving how the market will respond. Audience research and observed results still have a role. The system should distinguish what it can establish from what needs to be tested.

Its authority also needs a definition. Requesting another creative revision is different from changing the brand position, publishing a campaign or committing a budget. The evaluation should lead to an action appropriate to the responsibility the company has given it.

The evaluator needs to earn its place

A reviewing AI can misunderstand a strategy or repeatedly reward familiar work. The company needs a way to examine the quality of its judgments before relying on them across a workflow.

Useful test material includes work that serves the brief, attractive work that departs from it, and unconventional work that succeeds for a reason an overly rigid evaluator might miss. The company can compare the system's findings with considered judgments from the people responsible for the strategy, then investigate where they disagree.

The aim is to understand which departures the evaluator can recognise, which valid ideas it might block and where it needs more context. Its explanations matter because they reveal whether a finding rests on the brief or on a generic preference for what good marketing is supposed to look like.

As the company changes, those evaluations need to change with it. The work should remain open to challenge, including the work performed by the AI doing the reviewing.

The intelligence behind the work

For a leadership team, this changes the question around AI adoption. Alongside what AI can produce sits the question of how the company will evaluate that production against its own purpose. That capability shapes how much responsibility can be delegated and how confidently the resulting work can move forward.

A company's purpose, strategy and brand choices need to become criteria that an AI can use to evaluate the work. Designing that system is part of SDS's work.

The Creative Studio and the marketing agent make the relationship concrete: one develops the execution, while the other examines whether it serves the intention behind the assignment. Lokal's operating architecture places that relationship within a broader company, where product, growth, participation and day-to-day work belong to the same promise.

AI can help make an idea tangible. Building the intelligence that can question whether the result is the right work for the business requires equal attention.

The next time an impressive execution appears on the screen, the company should be able to return to its intention and ask a clear question: “Is this what the work was meant to achieve?”