How Easy is it to Integrate AI into your Product Roadmap?

We look at what it takes to integrate AI and things to consider if you decide to do so

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WFOInsights

Published: January 25, 2024

Robbie Pleasant

As AI-powered technology continues to develop and grow in use, many organizations and technology providers are looking for new ways to add AI to their offerings and workflows. However, integrating AI isn’t as simple as installing an app and calling it a day—adding tools like AI-powered speech recognition is a process that takes time and effort.

With that in mind, here’s a look at what it takes to integrate AI and things to consider if you decide to do so.

How to Integrate AI With Limited Developer Resources

Given the growth of the AI market, many organizations and their product teams are interested in adding or deploying AI features as quickly as possible. Those who want to get started with AI typically consider a few options: build their own proprietary AI model or partner with an AI provider.

When evaluating AI tools, it may be difficult to find one that fits all of a business’ needs. That might make it tempting to build a custom AI model, but doing so is both time-consuming and highly complex.

Creating a custom speech AI system, for example, is a huge undertaking, requiring time, resources, deep expertise (in research and engineering), and training, not to mention accounting for data security and regulations. Any custom AI model is also going to require ongoing expenses for maintenance and updates to make sure they remain up-to-date and efficient.

Finding an AI Partner or Provider

Strategic AI partnerships are the fastest way to add AI features to a product, as the technology is already developed and just needs to be integrated. If you choose this option, look for an AI partner who builds on the latest AI breakthroughs and constantly improves their suite of AI models.

These days, AI providers have AI models as a service, providing businesses with access to a portfolio of AI models. Organizations and developers can then integrate AI into their business or roadmap, while their product teams can remain focused on building their core features.

For organizations looking to integrate production-ready AI functionality, it’s important to build a strategic AI partnership. A partnership approach is a preferable choice for companies that lack internal AI expertise or resources, or that want to integrate AI quickly, as the partner provides the AI expertise, experience, and technology.

Organizations looking to add AI to their products need a partner with the following:

  • A proven track record or changelog that clearly shows they are leveraging the latest in AI research and developments to ensure they’re always up to date with the newest breakthroughs
  • Expertise in AI research and engineering with an in-house R&D team
  • Transparent communication around their research and developments (on their website or social platforms)

Additionally, organizations need to evaluate the AI models their partner offers to ensure they’re getting a model that will meet all of their business’s needs. Many AI models can be added through an API, so embedding an AI model into their product or tool takes very little time.

Speech AI Spotlight: AssemblyAI

For example, AssemblyAI, an industry leader in Speech AI, offers an API for AI models that can recognize and understand speech so you can transcribe and extract insights from voice data. Their AI models are developed by an in-house team of researchers and engineers and enable you to automatically perform many tasks including:

  • Process and transcribe hours of audio data quickly and accurately
  • Generate call and meeting summaries
  • Recognize speakers and add speaker labels to the transcript
  • Remove personal information
  • Provide sentiment analysis
  • Provide topic detection notes

Product teams can add AssemblyAI’s API to their platform, so they can leverage their AI models to build features and new products. Teams who successfully integrate AI into their roadmap will be able to shape new products that add value to their offerings, improve product/feature adoption, and grow their customer base without needing to invest time and resources into creating new AI features from scratch.

When choosing an AI partner, it’s important to understand what AI-based features can bring the most value to a product and find a partner with expertise and a proven track record for excellence. A strong AI partner can work with you during the build process, making it quick and painless to integrate AI into your business.  So if you want to get off the ground quickly, consider these no-code and low-code ways to start building your AI features.

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