top of page
Articles Library

5 Tips for Getting Started with Generative AI




It’s an exciting time for marketers to learn how to use AI-powered tools within their processes. Especially in customer experience (CX) where generative AI is a hot topic. This post gives you a framework for getting started with generative AI for your business and how to get the most out of this emerging CX technology.


The pressure is on for brands to drive scale and efficiency while delivering digital experiences that meet customers’ constantly evolving needs and preferences. Generative AI could potentially lead to substantial changes in the day-to-day activities of your creative and marketing teams, but those changes look promising. An Adobe report on the future of digital experiences found that 72% of consumers say generative AI will improve the customer experience (CX).


With an AI assistant by your side, you can increase your internal agility and efficiency to meet every customer’s individual needs more easily — and with 61% of CX professionals predicting a five times increase in content demand by 2024, brands will need the help. Generative AI tools are already helping brands craft better ideas, execute campaigns faster, and create more highly personalized experiences — at scale.


Here are five tips to consider for getting started with generative AI to help you achieve standout customer experiences and profitable growth for your business:

  1. Identify the challenges you want to solve.

  2. Decide who needs to be involved.

  3. Outline which processes you need to put in place.

  4. Assess generative AI tools and pick the right one for your business.

  5. Establish how you’ll get your workforce started.

Identify the challenges you want to solve

Since generative AI is so new, there aren’t established best practices for using it in many industries. To find the most relevant application of the technology, you need to look at the challenges you’re already facing in your business.


Are you experiencing backlogs in your creative processes? Could you use additional help with ideation, content creation, or asset editing?


Look for areas of your business where an AI assistant could be helpful to amplify your ideas, kick-start conversations, and clear pathways.


Ask yourself these questions to find opportunities to use generative AI within your business:

  • What are your key business objectives? Consider your main goals or KPIs for your business and think of ways that generative AI might help get you reach your goals or improve your KPIs.

  • What are your existing pain points? Look at your current processes and workflows to identify any bottlenecks or repetitive tasks that could benefit from automation.

  • How are companies in your industry using generative AI? Other businesses in your industry may already be using generative AI to improve their processes, save time, and deliver increased ROI. Your competition may be the best place to look for inspiration on how to use generative AI.

  • Which data do you have available? Generative AI models get stronger the more data they have available to work with. Assess your current data availability and see what opportunities it presents to train your AI model.

  • Which uses will have the biggest impact or ROI? The best places to start with generative AI are those areas that will deliver the greatest payoff or save the most time.

Decide who needs to be involved

If you’re considering using generative AI for your business, you’ll need to work with everyone on your team. First, you need to convince marketing and technology leadership of the benefits and approve the use of generative AI.


Next, you’ll need to loop in your data analysts or IT team to implement the new tools and analyze whether the results are positively impacting your company’s bottom line. And finally, decide which team members will be using the generative AI tools and how you will get them up to speed.


Outline which processes you need to put in place

Generative AI is a new and evolving tool, so you’ll need processes in place to account for the new technology. For example, if you’re using generative AI to create digital ad assets, here are some steps you may want to take before publishing:


  1. Ensure you have the appropriate rights to use the assets. Consult your legal team to be sure your assets are aligned with your compliance and regulatory requirements.

  2. Flag the content as generative AI prior to submission. You should clearly label AI content as such so there is no confusion later about who created the asset.

  3. Label the asset with the correct asset type, title, and keywords. AI can generate content much faster than traditional methods. Your digital asset management systems will need to keep up so you can find the assets when you need them.

  4. Review the asset for accuracy and quality. While generative AI can create some amazingly high-quality assets, the results can vary based on the inputs, your guidelines, and the model you’re using. Any AI-generated content should be carefully reviewed before publishing.

Assess generative AI tools and pick the right one for your business

New generative AI tools seem to launch every day. With so many options, it can be easy to get overwhelmed with choosing the right tool. Consider the following criteria when selecting the right AI tool for your company:

  • Performance quality of the model. You should assess your AI tools for accuracy and creativity in the outputs they generate.

  • Training and support resources. The best tools will provide training and support resources so your team can get started quickly and troubleshoot any issues that could arise.

  • Cost. Understand the different pricing models that AI tools use. There may not just be an initial cost, but also ongoing fees like subscription or maintenance costs.

  • Meets enterprise security, privacy, and data standards. Not every generative AI tool will meet your enterprise standards. You’ll need to select a tool that won’t put your business at risk for liability due to data privacy or security issues.

  • Built for your brand standards. If the content an AI model creates is inconsistent or doesn’t align with your brand guidelines, it could end up taking more time and resources.

  • Scalability. While a generative AI tool may meet your needs right now, consider where your business may be in the future. The best AI tools will be able to grow with you as you scale your business.

Establish how you’ll get your workforce started

Generative AI is useless without humans to guide it. If you just drop these new tools on your team, you may cause more issues than you solve. You’ll need to be transparent about the adoption of these tools and make sure your team feels empowered by this modern technology.

Ultimately, you need to understand both your business and the new technology — and then combine them in the most effective and efficient way possible.


Get started with generative AI

Generative AI presents many exciting opportunities to streamline your operations, rethink your creative and marketing processes, and improve your customer experiences — all at scale. This is a pivotal point for customer experience professionals who will recall the drastic shift in their careers from pre-generative AI to a post-generative AI world.


To learn more about getting started with generative AI, read the full report here.

0 views0 comments

Comments


If you enjoyed this article, receive free email updates!

Thanks for subscribing!

Join 20,000 subscribers who receive our newsletter with
resources, events and articles

Thanks for subscribing!

bottom of page