AI in Demo Software: Use Cases and Essential Features to Look For

When it comes to AI in demo software, it can be hard to separate hype from reality. What considerations matter most to presales teams? Which features are nice-to-haves vs. must-haves?

The most important thing is to understand how AI will accelerate your demo creation process and save your presales team time — not just add superficial bells and whistles.

Let’s break down the latest AI features in the demo software landscape to see what’s actually adding value and what’s just noise.

AI-powered synthetic data creation

What is it?

This feature uses generative AI to create synthetic datasets. With the right technology to go alongside it, you can then inject that AI-generated data into your demo environment. These datasets can be tailored to your prospect’s industry, pain points, language, region, or use case.

What are the benefits?

Relevant data can mean the difference between closing a deal and a prospect tuning out your demo altogether. However, manually creating demo data takes a lot of time and specialized SE or engineering resources. Generative AI speeds up the data creation process, helping you build and change datasets in seconds, rather than hours, days, or even weeks. You can create datasets in advance for a variety of use cases or prospect personas, and have them ready to load into a custom demo environment with a single click.

In addition, by using synthetic data instead of a customer account or your own data, you remove any risks of accidentally exposing sensitive data.

Key considerations

Choose a demo creation platform that gives you the flexibility to inject these AI-generated datasets into your demo environment of choice. For some companies that have relatively stable apps with few changes, that might be a live production environment. Others may want the reliability and consistency of a self-contained demo environment.

Some demo platforms talk about synthetic data capabilities, but don’t use AI to create it. Keep in mind that generative AI can speed up the process of manipulating and changing synthetic data, making it easier to customize your demo for any prospect’s scenario. For some use cases, you may need to create your own data. Your demo technology should give you the option to either create and inject your own datasets or use generative AI to save time.

Remember that there are some data privacy and security risks to using generative AI. For example, you’d never want to load personally identifiable information (PII) into a publicly available generative AI model, as any data you enter will be used to train the model. If you keep your training datasets generic, you can avoid these risks.

Generative AI voiceover and scripting

What is it?

Some tools use generative AI to create both demo scripts and fake “talking heads” for voiceovers in demo videos. Instead of using a human to narrate your demo video, these AI capabilities will build the avatar and voice for you.

What are the benefits?

If you find it challenging to build your own demo scripts, or can’t find anyone on your team who is willing to be a voiceover actor for a day, these tools can help you get your demo video live in less time.

Key considerations

Many sales, presales, and marketing teams still want to build their own demo scripts, since there is a lot of nuance that comes along with selling and marketing your product. While generative AI can certainly accelerate your script creation process, you may still need to do a lot of editing to get the final product where you want it to be. In addition, an AI-generated talking head may look and sound a lot different than a real human voiceover in a demo video. You’ll want your final video to feel natural for prospects.

AI translation capabilities

What is it?

AI translation is not necessarily a new technology, yet translation models have become a lot more accurate in recent years. Using this technology, you can translate your demo text and data into another language quickly and easily.

What are the benefits?

For global companies that operate in a variety of regions, translation technology can save a lot of time in localizing your demos for specific prospects. Instead of hiring a translation and localization specialist, you can use this technology to localize your demos quickly.

Key considerations

If you’ve ever used Google Translate or other instant translation tools, you know that certain words and turns of phrase aren’t always accurate. It’s good to have a native speaker check the outputs of your AI translation tools to ensure they make sense to the prospect.

The future of AI in demo creation

While we’re still in the early stages of AI technology for demos, we may see more exciting developments that speed up the end-to-end demo creation process for SEs and presales teams. When adopting AI technology for demos, be sure to take into account the risks vs. rewards.

For example, are the outputs accurate enough for you to deliver a demo with confidence? Are you achieving the time savings you wanted out of using AI technology? Our recommendation is to start with a proven use case like synthetic data creation to test and learn with your demo AI adoption. From there you can expand to other use cases that are most relevant for your business.

Want to learn more about the power of data injection?
See the Reprise demo