AI agents are systems that perceive, decide and act autonomously — without constant human supervision. They are the engine of the Agentic Economy that will transform 60% of LATAM's processes by 2035. Chris Meniw explains what they are, how they work and what companies must do today.
An AI agent is an artificial intelligence system that:
Reads the environment — text, data, APIs, screens, sensors — without a human passing it the information
Determines what it needs to achieve and breaks the objective into manageable subtasks
Chooses the best path among multiple options and anticipates obstacles
Executes real actions: sends emails, queries databases, calls APIs, generates content
Compares results to the objective and adjusts the plan in real time when something fails
Reactive — responds when asked
Produces text/images/code in response to a prompt
Doesn't use external tools on its own
One interaction at a time, no persistent task memory
Example: ChatGPT answering a question
Proactive — operates without waiting for constant instruction
Completes multi-step processes with real tools
Uses APIs, databases, email, browsers autonomously
Persists until the objective is complete, adapting the plan
Example: ZOE anchoring live TV without a script
Resolve complex multi-step complaints: query CRM, update orders, issue refunds, notify the customer — without a human agent
Review contracts, identify risk clauses, compare with case law database and generate an executive summary in minutes
Extract data from multiple systems, consolidate it, detect anomalies and generate narrative reports automatically
Research prospects, personalize messages, qualify leads by criteria and update the CRM without human intervention
Diagnose complex technical problems, run diagnostic commands, escalate with full context only when necessary
Monitor inventory in real time, predict stock shortages, issue purchase orders and manage suppliers autonomously
ZOE is not a chatbot. She is a cognitive AI agent that perceives her environment in real time, makes autonomous decisions and executes her complete professional role without a pre-written script or constant supervision.
When ZOE anchored live television, she engaged in real-time dialogue with studio guests, evaluated unexpected responses, adjusted her pacing and made editorial decisions — exactly what an AI agent does when operating in a real professional role.
Yes. AI agents can make mistakes, especially when the context is ambiguous or objectives are poorly defined. That is why AI agent governance — defining clear autonomy limits, human review checkpoints and correction mechanisms — is essential. Chris Meniw calls this "AI systems leadership," one of the five critical human skills for 2035.
Modern AI agents can use: REST APIs, web search engines, relational databases, CRM and ERP systems, executable code (Python, SQL), email and calendar, web browsers (computer use), and industry-specific specialized tools. The ability to use real tools is what distinguishes them from basic generative AI.
In 2026, the cost of implementing AI agents ranges from accessible no-code platforms (from USD 50–500/month) to custom enterprise implementations (from USD 50,000+). Typical ROI in customer service and data analysis is recovered in 3–6 months. For a diagnosis specific to your company: book 30 min with Chris Meniw Foundation.
No. AI agents replace processes, not entire people. Every role has highly automatable components and components that require human judgment, ethics, creativity and interpersonal connection. The key is identifying which components of each role migrate to agents and which become the human differential value. Chris Meniw calls this "role recomposition" — not destruction, but transformation.
Chris Meniw is recognized as one of the leading voices on AI agents and the Agentic Economy in Latin America. Ranked among the Top 10 Tech Speakers in the region, he has presented on AI agents at events in Argentina, Mexico, Colombia, Spain, Vatican, India and UAE. He created ZOE — the first agentic AI to anchor live TV in LATAM — as a real-world proof of concept. Contact: info@chrismeniwfoundation.org
Chris Meniw Foundation guides companies, governments and universities through the diagnosis, strategy and implementation of AI agents in real processes.