Artificial intelligence (AI) adoption has continued to gain momentum even as companies grapple with its costs.
As revealed in McKinsey’s “The State of AI in 2025” survey, 89% of organizations are using AI in one or more business functions.
While it’s common to associate AI adoption with the use of AI chatbots, there’s another form of AI that’s getting attention.
Its name?
Agentic AI.
This isn’t your typical AI model.
The AI models commonly used today require human oversight and come with constraints.
In simple words, these models don’t possess autonomy and cannot operate on their own.
On the other hand, Agentic AI does what traditional models cannot do. These systems are made up of AI agents that work on specific subtasks to accomplish complex goals.
Simply said, AI agents possess a certain degree of autonomy and can function independently of human intervention while still operating within a specific limitation or guideline.
Another important characteristic of AI agents is that these are able to learn from experiences and adjust how they function accordingly.
Given these functionalities, AI agents are gaining widespread adoption. According to estimates as of early 2026, 41% of companies are already using them in daily operations.
Photo from Unsplash
There’s a problem, though:
What if there are more AI agents than humans?
What happens then?
How can companies adapt?
The risk of AI agents outnumbering humans is clear: Monitoring becomes a bottleneck. Without sufficient human oversight, scale creates vulnerability.
This setup might work for an e-commerce company or even a retailer who operates 24/7 and has so many processes… but what if something more important was on the line?
LaShonda Anderson-Williams, the Chief Customer and Commercial Officer of Salesforce, provided an example:
“In high-stakes environments like health care, it’s not taking the wrong tee-shirt size if you’re a retailer, it’s a life on the other side of it.”
In other words, using AI agents comes with its own set of problems, and in some cases, when something does go wrong, the effects can be detrimental.
So, what is to be done?
Anthony Moisant, the Chief Information and Security Officer of jobs platform Indeed, pointed to the use of constant testing to see if AI agents are performing and accomplishing desired outcomes.
Moisant’s suggestion points to an inevitable answer: Governance on how AI agents should be used.
In other words, companies that use this technology should create processes that enable them to utilize AI agents safely and effectively.
Mapping and Redesigning Processes
This also brings us to the 8th tenet of RDS—Map and Redesign Processes.
According to Professor Joel Litman and Dr. Mark L. Frigo in the book, “Driven”:
“Management should not wait for a problem to arise before adequately mapping it. The map changes the entire platform for better planning and improving the business.”
RDS’ 8th tenet is relevant to the emergence of AI in general and AI agents in particular.
With advancements in AI proceeding at breakneck speeds, the need for remapping a business’ functions and processes to accommodate and leverage those changes are important.
If AI systems are adopted without proper guardrails and business processes aren’t remapped, a lot of things can go wrong for a business.
That said, what are some of the steps that businesses can take to make full use of AI models and agents?
- Review processes and workflows that can make use of AI automation.
- Identify which of these processes can be safely automated.
- Implement AI auditing into every business process involving AI.
Navigating An AI-enabled Business Landscape
The shift to an AI-powered organization is inevitable.
AI is moving fast, turning tasks that once took hours of human effort into work that’s automated in part, if not entirely.
The result?
A tech-powered force multiplier for every company and employee.
Unfortunately, this comes with a catch. Agentic AI demands careful, deliberate adoption. That’s exactly why revisiting and remapping business processes matters now more than ever.
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If you’re looking to gain a better understanding of Return Driven Strategy and Career Driven Strategy, we highly recommend checking out “Driven” by Professor Litman and Dr. Frigo.
Click here to get your copy and learn how this framework can help you in your business strategies and ultimately, in ethically maximizing wealth for your firm.
About The Dynamic Marketing Communiqué’s
“Tuesdays: Return Driven Strategy”
In the book, “Driven,” authors Professor Joel Litman and Dr. Mark L. Frigo said that the goal of every long-term successful business strategy should incorporate the combined necessity of “making the world a better place” and “getting wealthy.”
That is why they created Return Driven Strategy and Career Driven Strategy—frameworks that were built to help leaders and professionals plan and evaluate businesses so they can also help others achieve their organizational goals and career goals.
The frameworks describe the plans and actions that drive returns for anyone in an organization such as independent contractors, marketers, brand managers, communicators, and other people in any field. These actions lead to the creation of wealth and value for customers, employees, shareholders, and the society.
Every Tuesday, we’ll highlight case studies, business strategies, tips, and insights related to Return Driven Strategy and Career Driven Strategy.
In planning, building, or managing brands and businesses, these strategies, case studies, and guidelines will help you choose what specific actions to take and when to take them.
Hope you find this week’s topic interesting and helpful.
Stay tuned for next Tuesday’s “Return Driven Strategy!”
Cheers,
Adrian Kyle Vergara
Content Writer
Valens Dynamic Marketing Capabilities
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