How to Use AI to Create Images?

You can use AI to create images by choosing a simple tool, describing exactly what you want, and then refining the result until it becomes usable. For a leader, the point is not to make something pretty. The point is to produce visuals quickly for a campaign, a presentation, or a conversational agent.

The real business problem

In many teams, people still wait for a designer for every variation. Marketing teams wait. HR teams patch things together. Leaders approve too late.

AI image creation changes that. Not by replacing everyone. By speeding up the first version and giving more autonomy to teams that need to produce without blocking the workflow.

Step 1. Choose the right tool

If you are starting out, do not look for the perfect tool. Look for the easiest one to adopt.

Among the commonly cited platforms, you will find DALL·E and Midjourney. DALL·E is often easier for beginners. Midjourney is valued for its more artistic visual output. Other tools are also available inside office suites or work environments your teams already use.

My advice is simple. Start with a tool your team can test without friction. If adoption is difficult, you will lose time before producing the first image.

Step 2. Write a useful prompt

A good image starts with a good prompt. Not with magic.

Say what you want to see. Say the style. Say the format. Say the context.

For example, instead of asking for “a modern image”, write: “a leadership team in a meeting room with natural light, realistic photo style, sober colors, landscape format, professional atmosphere”.

The more precise you are, the closer the tool gets to the result you need. That is where AI creation of images becomes truly useful. Not in vagueness. In precision.

If you want to structure this properly from the start, this is the kind of topic I cover in my AI services and in my AI governance resources.

Step 3. Test, correct, repeat

The first result is rarely the right one.

That is normal. You need to adjust the lighting, framing, colors, realism level, and sometimes even the posture of the people. Work in short iterations: one request, one result, one correction, then a new version.

This is also where AI governance matters. If everyone produces without guardrails, you quickly end up with inconsistent visuals, off-brand images, or content that is hard to approve. The EU AI Act, which is now catching up with Moroccan operators, makes this framework even more necessary.

Step 4. Check rights and usage

This is the point many people overlook.

An AI-generated image is not automatically fit for every use. You need to check the intended use, the tool’s policy, and consistency with your brand guidelines.

For a commercial campaign, a board presentation, or an HR document, the question is not only aesthetic. It is also legal and reputational. As a general precaution, ask yourself: can this image be shown to a client, a candidate, or an investor without creating discomfort?

Step 5. Build concrete use cases

This is where AI image tools become valuable, when they serve a specific need.

A few simple use cases.

• Visuals for social media
• Illustrations for a leadership presentation
• Marketing campaign mockups
• Images for a commercial proposal
• Internal training materials
• Visual concepts for a product launch

In HR teams, this can support employer branding campaigns. In marketing, it helps produce more variants faster. In consulting, it makes a message easier to understand. To go further on the roles integrating these tools daily, see my overview of AI jobs hiring in 2026.

Mistakes to avoid

The first mistake is believing the tool does the work for you.

It does not. It executes a prompt. If the prompt is weak, the result will be weak.

The second mistake is uniformity. If everyone uses the same generic prompts, all images start to look the same.

The third mistake is the absence of a methodological framework. Without simple rules, you create ungoverned AI. Then you lose control over quality, tone, and compliance.

The fourth mistake is confusing speed with usefulness. A fast image is not always the right image.

What result should you expect?

The right result is not a “perfect” image. It is a usable image, produced faster than before.

For a leader, that is where the real gain sits. Fewer back-and-forths. Less blocking. More responsiveness. A better ability to test visual ideas before investing in full production.

It is also a practical way to integrate AI into decision-making processes without launching a heavy program.

My field advice

Start small. One tool. Three use cases. One simple brand rulebook. One clear owner.

Only then expand.

That is how you avoid hype and build real value capture.

If you are a CEO, HR leader, or marketing director and want to structure a serious use of generative AI, request a diagnostic.

FAQ

DALL·E or Midjourney for beginners?

DALL·E is often easier to start with. Midjourney is interesting if you want a more artistic output.

Do I need to know complex prompts?

No. You mainly need to describe the expected result, style, format, and context clearly.

Can these images be used in business?

Yes, but with rules. Check the intended use, the tool policy, and your internal brand guidelines before publishing.

Can AI replace a designer?

No. It speeds up first versions. It does not replace creative judgment or brand consistency.