The Exporis Directory: The Creative AI Tools Worth Knowing

There is usually a point in any marketing project when the exciting part is over and the practical work begins. The campaign idea has been approved, but now it needs to become a presentation, six social formats, a short video, a landing page and something the sales team can use. The original thought may have been strong. The problem is turning it into enough good material, quickly, without losing the quality that made it interesting in the first place.

That is where creative AI has started to earn its place.

The best tools are not replacing experienced writers, designers or strategists. They are helping teams move more quickly between the first idea and a version that can be discussed, tested and improved. They can shorten the awkward early stages of a project, remove some of the repetitive production work and give smaller teams access to capabilities that once required considerably more time and budget.

The danger is assuming that faster automatically means better. It does not. A generated image can still look generic. A polished paragraph can still say very little. A presentation can appear finished long before the thinking behind it is clear.

For Swiss businesses, particularly those working in finance, wealth management, fintech and real estate, that distinction matters. These sectors depend on credibility. A clever tool is only useful if the final work remains accurate, recognisable and appropriate for the audience.

These are the creative AI platforms worth understanding, what they are genuinely good at and where a human still needs to take control.

ChatGPT

For many teams, ChatGPT has become the place where a project begins.

Its real strength is not that it can write a social post in seconds. It is that it can help bring order to a brief that is still slightly unclear. A marketing manager might use it to organise notes from a meeting, identify the strongest themes in a report or test three possible directions for a campaign before asking a writer or designer to develop one of them properly.

It is also useful when one strong piece of content needs to travel further. A long interview can become a concise executive summary, a series of LinkedIn posts, an email introduction and a list of talking points for a presentation. That does not mean every version will be ready to publish. It means the team no longer has to start with a blank page each time.

The quality of the result depends almost entirely on the quality of the instruction. Ask for “a post about investing” and the answer will probably sound like hundreds of other posts about investing. Give it the audience, business objective, source material, tone and regulatory boundaries, and it becomes far more useful.

It still needs an editor. ChatGPT can produce language that sounds confident even when the underlying point is weak, vague or wrong. In a reputation-sensitive sector, that distinction cannot be left to the software.

Best for: early-stage thinking, content repurposing, research support, structure and first drafts.

Watch out for: generic language, unsupported claims and the temptation to publish before anyone has properly edited the work.

Claude

Claude often comes into its own when the source material is substantial.

It is particularly good at working through long reports, interview transcripts and complex internal documents. A communications team might use it to identify repeated themes in a series of client conversations or compare several versions of a sensitive corporate message. It can also help shape a clearer narrative from material that is accurate but difficult to read.

This makes it useful in sectors where the challenge is not simply creating more content, but making complex information understandable without oversimplifying it.

Imagine a wealth manager preparing a client letter after a period of market volatility. The tone must be calm without sounding complacent, clear without making promises and reassuring without appearing defensive. Claude can help test different versions and point out where the language may feel too technical or too vague.

That is valuable support, but it is not final judgement. The person approving the message still needs to understand the business, the clients and the consequences of getting the tone wrong.

Best for: long documents, complex source material, synthesis and tone refinement.

Watch out for: elegant summaries that remove a qualification or flatten an important distinction.

Canva

Canva is useful because it solves a very ordinary business problem: not every visual asset needs to go through a full design process.

A marketing team may already have the brand identity, fonts, colour palette and templates. What it needs is a quick way to turn those assets into event graphics, presentation slides, recruitment posts or social formats without asking a designer to make every small adjustment.

This is where Canva works well. Its AI features can suggest layouts, resize content and produce basic visual directions quickly. For distributed teams, its brand controls also make it easier to keep materials recognisable.

The weakness is that Canva makes it very easy to create something polished and very easy to create something forgettable. Its most obvious templates are used everywhere. A business may end up with attractive material that looks almost identical to that of its competitors.

The best use of Canva is therefore not to invent a brand inside the platform. It is to extend an existing one.

Best for: everyday marketing assets, presentations, campaign adaptations and social formats.

Watch out for: relying on templates so heavily that the brand loses any sense of individuality.

Adobe Firefly And Adobe Express

Adobe Firefly and Adobe Express are more appealing to teams that already work within a professional design environment.

Firefly can generate visual elements, extend images, remove distractions and create variations without forcing a designer to rebuild everything manually. Express brings many of those capabilities into a more accessible format for colleagues who need to create routine campaign materials.

In practice, this can improve the relationship between design and marketing. A designer establishes the visual direction. The wider team then adapts approved materials without constantly requesting minor changes.

That is a better model than expecting every employee to become an art director.

For businesses, Adobe’s established creative ecosystem is another advantage. It makes the platform easier to integrate into professional workflows where brand governance, licensing and consistency matter.

Still, no AI tool can decide whether an image feels culturally appropriate, emotionally credible or distinct enough to publish. Those remain human decisions.

Best for: professional image editing, visual variations and teams already using Adobe software.

Watch out for: assuming technical polish is the same as strong art direction.

Midjourney

Midjourney is one of the most useful tools when a team knows the atmosphere it wants but cannot yet show it.

It can quickly create a visual world around a campaign idea. A real estate company may want to explore how a development should feel before commissioning photography. A luxury business may need several possible directions for a campaign mood. An agency may want to show a client the difference between a restrained, editorial approach and something more cinematic.

This is where Midjourney is at its best. It makes early conversations more concrete.

It is less reliable when the image must be factually exact. Products may be distorted, people may look slightly unreal and consistency across a series can require considerable work. There is also a recognisable AI aesthetic that can feel impressive at first glance but repetitive after a while.

For that reason, Midjourney often works better as a visual sketchbook than as the final campaign.

Best for: mood boards, campaign concepts, art direction and early visual exploration.

Watch out for: using beautiful but inaccurate imagery where authenticity matters.

Recraft

Recraft is particularly useful when a business needs several related visuals rather than one dramatic image.

It is strong at producing icons, illustrations and vector-style graphics that can sit within a coherent visual system. That makes it useful for reports, websites, presentations and explanatory content.

A fintech company, for example, may need a set of illustrations explaining onboarding, security, payments and investment processes. Stock photography can make those topics feel generic, while commissioning a full illustration library may be expensive. Recraft offers a middle ground.

Its vector capabilities are especially practical because the graphics can be resized and adapted without losing quality.

The important limitation is that consistency alone does not create a strong brand. A collection of matching illustrations can still feel bland or conceptually weak. Someone needs to decide what the visuals are actually saying.

Best for: icons, branded illustrations, vectors and repeatable visual systems.

Watch out for: confusing visual uniformity with a distinctive creative idea.

Figma

Figma becomes relevant when the project is not simply a campaign, but a digital experience.

Its AI features can help teams explore layouts, interface ideas and early prototypes more quickly. This is useful because many problems are easier to identify once people can click through a concept rather than discuss it in the abstract.

A fintech company might test a new onboarding journey. A wealth manager could explore how clients access reports and portfolio information. A real estate company may want to understand how users search, compare and enquire about properties.

The commercial value is not merely speed. It is the ability to spot a confusing step before the development team has spent weeks building it.

Figma works best when product specialists, designers and developers use it together. A clean screen is not proof that the service underneath it is clear, useful or trustworthy.

Best for: digital products, website concepts, user journeys and collaborative prototypes.

Watch out for: mistaking an attractive mock-up for a functioning product.

Runway

Runway makes video experimentation far more accessible.

It can generate short scenes, animate still images, remove backgrounds and test visual effects before a company commits to a full production. This is useful for campaign development, particularly when a team wants to show what an idea could look like in motion.

A short concept film may be enough to gain internal approval. A rough visual treatment may help a director understand the intended mood. A still image can be turned into a moving sequence for an early pitch.

That does not mean every AI-generated video should appear in the final campaign. Movement can feel unnatural, objects may change between frames and the result can have a slightly synthetic quality.

In high-trust sectors, that matters. A client interview, leadership message or corporate film often benefits from real people and real environments. AI is more convincing when it supports the production rather than pretending to replace it.

Best for: video concepts, pre-visualisation, motion experiments and short-form creative assets.

Watch out for: using artificial-looking footage where trust and authenticity are central.

Descript

Descript is one of the most immediately practical tools on this list.

It allows teams to edit recorded audio and video by editing the transcript. Remove a sentence from the text and it disappears from the recording. This makes it far easier to work with interviews, webinars and podcasts without specialist editing skills.

A 40-minute conversation with an investment expert might become a full video, a podcast, a written transcript and several short clips for social media. Captions can be generated, filler words reduced and sound improved.

The efficiency is considerable.

The editorial risk is context. A clip may sound sharper after editing but lose the qualification that made it accurate. A pause or hesitation may be removed even though it made the speaker feel natural. Excessive cleaning can make a real person sound strangely artificial.

Descript makes editing easier. It does not make editorial judgement less important.

Best for: interviews, podcasts, webinars, captions and content repurposing.

Watch out for: cutting material so tightly that meaning or authenticity is lost.

The Tool Is Not The Strategy

It is easy to collect subscriptions. It is harder to build a useful creative system.

The most effective teams are not necessarily using the greatest number of AI platforms. They are clearer about where time is being wasted, which stages require more experimentation and which decisions should remain firmly human.

A tool may help create 20 campaign ideas, but it cannot decide which one fits the business. It may turn a report into five posts, but it cannot know whether those posts strengthen the company’s reputation or simply add to the noise. It can produce a polished image, but it cannot understand how that image will feel to a particular audience.

Before adopting another platform, the better question is not “What can this tool do?” but “Which part of our process should become easier?”

The answer may be research, editing, adaptation, visual exploration or collaboration. Once that is clear, the technology becomes far more useful.

Creative AI is at its best when it removes friction without removing judgement. It can speed up the first draft, widen the number of possibilities and make production more efficient. The value still comes from knowing what deserves to be made, what should be discarded and what the business wants to be known for.