How To Deploy AI on an Enterprise Level

We have two guides to help companies deploy AI enterprise-wide, one outlining five steps to get started and one identifying four common use cases.

Artificial intelligence (AI) has been in the spotlight lately, getting a lot of hype while raising a myriad of concerns. Organizations who lean how to use it well stand to gain a lot. In fact, 90% of decision-makers say they plan to deploy generative AI at their companies.

The question, then, is how best to leverage this tool. Our team has done quite a bit of thinking on this topic, and we want to introduce some guides to help teams unlock true value-add when deploying AI at the enterprise level.

Guide #1: 5 steps to deploy AI

In the dynamic marketing world, standing still can mean going backwards. Embracing AI now helps brands stay competitive.

With that in mind, this playbook describes a five-step approach to implementing AI — and, most importantly, reaping benefits from it.

When enterprises endeavor to deploy AI, they face a common set of challenges. By using the five-step process outlined in this guide, they can solve for a lot of the most pervasive pain points.

Guide #2: 4 tried-and-true AI use cases

Artificial intelligence can be a lot of hype with very little to show for it. You want to make sure that the AI you're using is actually delivering measurable results for your business.

That means identifying specific use cases and goals for each. This will help you to identify the best opportunities for implementing AI solutions in your specific organization.

With the goal of unlocking real added value in mind, this guide takes a look at four of the most impactful ways to leverage AI for marketing teams.