How Generative AI can help your Awards Design Brief

Generative Artificial intelligence (GenAI) is a useful tool for visualizing ideas and gives clients another language to communicate with us. Society Awards welcomes them, but there is an important distinction between visualizing an idea and designing an award.

An image generated by AI may show clients are imagining something sculptural rather than architectural, fluid rather than geometric, tall rather than wide, or simply that they want the object to be made from shiny gold metal.

At Society Awards, we have spent decades doing something that is remarkably similar in purpose but very different in process: listening to clients describe an organization, event, recipient, brand, emotion or idea in words, then interpreting that information into original works of art. Our briefing and design process has been refined across thousands of custom projects to produce designs that can be remarkably accurate expressions of what a client was trying to communicate, sometimes before the client themselves knew exactly how to visualize it.

GenAI does not completely replace our design brief process but instead adds to the overall custom award designing experience.

What Information Goes into a Design Brief?

This is where we think generative AI can be genuinely exciting for custom awards. When clients share AI concepts with us, we want to understand the thinking behind them.

The most useful information may include:

• The original prompts and important subsequent prompts
• What you love about the resulting image
• What you do not love
• What the AI failed to capture
• Elements that appeared accidentally but became interesting
• Elements that appeared accidentally and should disappear
• Brand requirements or references the AI may not understand
• Desired symbolism, emotion and recipient experience
• Quantity, budget and timing
• Any physical, personalization, packaging or presentation requirements

Then we can determine what deserves to survive from the concept and what deserves to evolve.

Sometimes the finished award may remain quite close to the original image. Sometimes the AI concept reveals the central idea, but professional development produces something simpler, stronger and substantially more refined. And sometimes the greatest value of the AI image is that it finally gives everyone enough common visual language to begin the real design process.

What Are You Trying to Create?

Anyone who has spent significant time with generative AI has probably experienced the problem where one prompt produces something interesting but gets several details wrong. The next corrects one problem while changing something you liked. Another adds an unwanted element. Ask it to simplify something, and it changes the shape. Attempt to restore the shape and lose the material. Ideally, after enough iterations, the final image feels close enough.

There is a very understandable point at which a person stops, but "I got it here" and "this is exactly what I want" are not necessarily the same statement.

With that experience in mind, when a client brings us an AI concept, we ask follow up questions for further clarification, such as:

• What did you ask the AI to do?
• What did you ask the AI to do?
• What did you tell the AI about your organization, event, brand, recipient or message?
• Did the image accomplish everything you wanted?
• Did it leave something out?
• Did it introduce elements you never asked for?

Starting with proper context for the GenAI images allows us to start a cohesive brief and guide our clients towards beautiful, high-quality award.

Does GenAI Know What is Exceptional Design?

“Does Generative AI know what exceptional design is” may sound like a philosophical question, but in award design it becomes a very practical one. Often, the difference between an adequate design and an exceptional one is editing and restraint.

Restraint comes from our editing process, where the goal is to determine what deserves to remain on the object; not to see how much visual information we can fit. With custom awards, more is easy, restraint is hard, and editing is essential.

Additionally, an exceptional award should accomplish several difficult things at once: simple, unique, beautiful, and on-brand. Simple does not mean generic. Unique does not mean strange. Beautiful does not mean overly decorative. On-brand does not mean turning a corporate logo into a three-dimensional object. Achieving all four simultaneously requires judgment.

Good enough is not the same as beautiful.

Every component, transition, material, finish and manufacturing operation should contribute something worthwhile to the finished award. Unnecessary complexity can increase cost while making the object less elegant. This is one of the places where restraint becomes both an aesthetic and an economic discipline.

The objective is not simply to make an AI design cheaper. Sometimes the better question is: What is this design really trying to say, and what is the most beautiful way to say it?

Can GenAI Know What is On-Brand?

An award must represent an organization while also standing independently as an object someone wants to own, touch, display and keep. That is why we create custom corporate awards with the organization branding in mind.

Being on brand does not necessarily mean covering an object with logos or translating every element of a visual identity into three dimensions. Sometimes the more sophisticated expression comes from understanding the character of the brand and finding a subtler physical expression of it. We ask ourselves these question during the creative process:

• What should this organization feel like in three dimensions?
• What should the recipient understand before reading the inscription?
• What can be added or removed?
• What makes the object unmistakably connected to the organization without turning it into promotional merchandise?

An experienced designer can ask what an organization should feel like in physical form. Is it established or insurgent? Precise or expressive? Restrained or celebratory? Technological or human? Monumental or intimate? What does this honor mean within its culture? Who receives it? Where will it live afterward? What should someone understand about the organization before they ever read the inscription?

There may be no literal graphic answer to any of those questions.

Can GenAI Awards be Created?

This distinction becomes especially important when an AI concept looks unusually polished.

A rendered image, whether generated by AI or created through another visualization method, does not contain the complete dimensional and engineering information required to manufacture an object. The real product must ultimately be defined.

Dimensions must be established. Geometry must be resolved in three dimensions. Wall thicknesses, transitions, tolerances, attachment methods and assemblies must be determined. Materials and finishes must be specified. Manufacturing processes must be selected. Engineering and production feasibility must be considered.

That work is necessary not only for production. It is often necessary before an accurate production quotation can even exist. A supplier cannot reliably price an imaginary construction simply because the picture depicting it looks realistic.

Even a CAD File Is Not the Entire Development Process

Understanding CAD Files

This is also why receiving an existing 3D model does not necessarily eliminate product development.

CAD solves an important part of the problem, but custom award development also involves determining how the object should actually be made.

A design may need to be interpreted for a particular material or process. Components may need to be divided differently. Connections may need to change. Geometry may need adjustment for casting, machining, fabrication or finishing. Materials and processes may need to be reconsidered for quantity, budget, timing, durability, weight or appearance.

There is a substantial difference between drawing the shape of an object and developing that object for successful manufacture. Society Awards does both.

There may be no defined back, bottom or interior. There may be no real dimensions. No tolerances. No attachment methods. No answer for how two pieces meet. No determination of whether something is solid or hollow. No center-of-gravity calculation. No engineering for shipping. No production methodology.

However realistic the image appears, the actual award still must be developed in three dimensions through CAD, materials specification, engineering, manufacturing planning and ultimately production-ready information. That work is required not only to manufacture the award. Much of it is required simply to quote it accurately.

What is the Hidden Cost of GenAI?

AI can propose geometry without understanding its implications for tooling, combine materials without accounting for how they must be joined, and introduce intricate details that require additional molds, components, operations, and finishing processes. A seemingly insignificant flourish in an AI-generated image can create an entirely new manufacturing requirement.

This is because manufacturing intelligence should influence the design itself, not simply determine how an idea is produced after the creative work is complete.

Materials have properties, and manufacturing processes have capabilities and limitations. Certain forms are better suited to casting, while others call for machining, fabrication, cutting, blowing, bonding, or assembly. Finishes behave differently across substrates, structural integrity depends on weight and balance, and connections that appear effortless in a rendering must translate into practical physical construction.

Quantity and timing also influence these decisions. A manufacturing method that makes economic sense at one production volume or schedule may be impractical at another. These considerations are not obstacles to overcome after the design is finished; they are fundamental elements of the creative process.

AI can generate polished metal without specifying the alloy, wall thickness, manufacturing process, or finish. It can create unsupported elements, improbable balances, and materials that appear to merge seamlessly despite having no practical means of connection. It can also introduce considerable expense without recognizing the consequences. Additional materials, components, curves, and intricate details cost virtually nothing to generate digitally, but can significantly increase the cost of manufacturing through additional tooling, fabrication, finishing, assembly, engineering, quality control, and packaging.

A more complex design is not necessarily a better one. Often, a more disciplined approach can achieve a stronger visual result while improving manufacturability, durability, and cost efficiency.

At Society Awards, manufacturing intelligence is an integral part of our design intelligence. Our understanding of casting, machining, fabrication, crystal, glass, resins, stone, wood, finishing, plating, assembly, and packaging informs the creative decisions behind every award. We consider how materials interact, how objects balance, how production quantities and timelines affect process selection, and how each piece must withstand handling, shipping, and display.

The goal is not simply to make a design manufacturable. It is to create something more beautiful, practical, durable, and appropriate to its purpose because manufacturing expertise informed the design from the beginning. That is not compromising the design. That is design.

Even an aesthetically perfect AI-generated image is only the beginning. The real work is turning that image into a physical object worthy of the recognition it represents.

GenAI is a helpful tool for the Design Brief

For decades, clients have come to Society Awards with every imaginable form of inspiration: a logo, an architectural detail, a photograph, a napkin sketch, a material sample, another object they admire, a few adjectives, or simply an idea they have difficulty describing. With the progress of generative AI, our clients have another tool.

For someone who could never have sketched the object they were imagining, an AI image may communicate more in ten seconds than a page of written explanation. It can help establish visual territory, surface preferences and begin a much richer conversation.

That is valuable, but its greatest value may be as an addition to the creative brief rather than a substitute for one.

Send us the image. Send us the prompts. Send earlier versions if they contain something important. Tell us what you love, what you dislike, what is missing, what is accidental and what you were ultimately trying to achieve.

Then tell us the things the image cannot know: who the award is for, what it represents, how it should feel, what matters to your organization, what it should cost, when you need it and what you hope someone feels when they receive it.