An AI (artificial intelligence) agent goes a step beyond answering questions. You give it a goal, and it decides how to achieve it: it breaks the task down into steps, consults data, uses tools, takes action, and reviews what happened to adjust course. It operates within the limits and permissions you define.

Why does it matter?

Much of the work involved in marketing and customer service is repetitive and follows a pattern: analyze, decide, execute, measure. An agent can handle that cycle and free up your team to focus on strategy and cases that require human judgment.

That said, greater autonomy requires greater clarity. A good agent needs specific goals, reliable data, and guidelines on what they can do on their own and when they should seek guidance.

Agent vs. Co-Pilot:

• Co-pilot: You ask, he answers or makes a suggestion, and you carry it out.
• Agent: You define the goal; he plans and carries out various steps on his own.

Story mode

Lucía runs an online sports store and wants to win back customers who haven’t made a purchase in a year. Instead of setting everything up manually, she assigns that task to an agent. The agent identifies those customers, drafts a message for each one, sends it through the appropriate channel, and, based on the results from the first week, adjusts the next campaign. Lucía reviews the progress and approves any major changes.

How to Use It with Data4Sales

• Orbis Pulse operates on a mission-based approach: you tell us what you want to achieve, and Orbis plans, executes, and optimizes it.
• Orbis Support assists your customers 24/7 via WhatsApp and other channels, taking full context into account, and escalates complex cases to your team.
• Both are based on a 360° profile of each customer, so they draw on actual data from your business.

Related terms

• AI Co-Pilot
• Orbis
• Agentic commerce
• Marketing Automation