Introduction
After nearly two years since ChatGPT shocked the world, the momentum of AI has become a noticeable force across every industry. New tools are emerging faster than we can track, with more advanced models being developed as you read this document. Because of this, it’s no wonder many people feel behind the curve. So remember, you are not alone.
The entire enterprise / corporate industry has approached AI as if it were Excel or PowerPoint, expecting employees to latch on and immediately use these complex tools with zero foundational training. Like many other technical tools, apps, or programs we use, AI is categorized similarly in terms of the volume of users and costs associated with each and every seat.
From a leadership perspective, daily usage of AI can falter and dwindle without proper training and development support. While abstract to imagine today, the negative equity accumulated during this stage can be staggering compared to competitors
With every new “AI partner,” we waste precious time focusing on the “shiny new object” instead of extracting the value that can be realized today in our current tech stack.
“Enterprises without AI literacy struggle with automation, workflow efficiency, and data-driven decision-making. Research from the 2024 AI Competitiveness Index found that AI-literate teams increase operational efficiency by 35% compared to AI-illiterate counterparts (Irnazarov, 2024).”
How do you maximize what you already have? Identify AI opportunities as they relate to underlying data and create a portfolio of AI use cases and ideas based on effort/value.
This matrix will help guide your decisions; however, it must be structured within the constraints of your current organizational tech stack if you are to move to feasibility testing, execution, roll-out, and custodial optimization. Arm your team and yourself with the tools needed to achieve your top three goals, as well as a capacity to communicate with stakeholders and share important data.
Let’s now take a managerial/operational perspective: we approach this similarly, but instead, we start with our key team goals. If planned and executed correctly, there will be a massive unlock of time spent doing menial tasks, which can be re-invested into valuable opportunity costs for growth. Without a structured approach, some teams can spend up to 40% of their time communicating, going to meetings, and distilling data for their leaders.
The financial cost of ignoring AI is substantial, as seen in a 2025 Emerald Research Study found that businesses without AI-trained leadership experience 20% lower profitability due to poor decision-making and ineffective AI integration (Kumar, 2025).
Conclusion
Whether it be an AI agent for a CEO or a series of executional advisors to help detect modeling deviations, the most important thing for businesses and teams today is to understand the fundamentals needed to maximize AI value at an organizational level. As we seek to continue growing as humans and teams, we are presented with a tremendous opportunity to upskill and refine nearly everything we do. AI Prophets, we personalize AI literacy programs for organizations and teams of all sizes, enabling competitive data agility at scale. Contact us today to speak to an expert about how we can help.
