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AGENTIC AI

AI agents in business: governance before automation

What an AI agent is, when it creates value and the controls needed before delegating a process.

This guide translates a current marketing and AI question into a practical operating conversation—one that teams can use to make a clearer next decision.

An agent is not a chatbot

Automation follows fixed rules and an assistant responds to a prompt. An agent can plan and use authorised tools toward an objective. That makes governance, not novelty, the first design question.

Start with a small, observable change. Define the owner, the evidence to review and the condition that would make the team continue, adjust or stop. That is how a useful practice survives after the initial excitement.

Pilot a reversible workflow

Choose a high-volume, low-risk workflow such as preparing research summaries or classifying internal requests. Observe outputs, review exceptions and compare quality and supervision effort before allowing any limited action.

Start with a small, observable change. Define the owner, the evidence to review and the condition that would make the team continue, adjust or stop. That is how a useful practice survives after the initial excitement.

TAKEAWAY

Better execution comes from a clear process, accountable people and a learning loop—not from adding complexity for its own sake.

COMMON QUESTIONS

Questions worth answering before acting.

Where should a team begin?

Begin with the customer or operating problem that creates real friction today. Choose a narrow workflow, agree on the expected outcome and review what improves before scaling it.

How do we know it is working?

Compare the baseline with the new practice: time to complete work, quality of the output, clarity of decisions and the business signal the workflow was meant to influence.

Nicolás Gómez
Nicolás Gómez

Speaker, executive educator and strategist in AI, marketing and growth. He shares practical tools that help teams turn technology change into better execution.

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