By Ivan Santos
Managing a growing operation, whether in e-commerce, marketing, or customer service, means dealing with a large amount of data, demands, and decisions happening simultaneously.
This is a common challenge. Manual operations become overloaded, bottlenecks go unnoticed, and when the problem finally appears, it has often already turned into complaints, delays, or lost results.
But what if your system stopped simply storing data and started diagnosing scenarios, recommending actions, and guiding your team before the problem worsened?
At VTEX DAY 2026, we'll show you situations that might be happening in your operation today and how Agile Worker.IA, along with monday.com's AI agents, can help your team identify risks, prioritize actions, and act more quickly.
1. Data anomalies: anticipating problems before a complaint arises.
In e-commerce operations connected to VTEX, for example, orders can change status at any time.
To identify which orders are stalled or at risk amidst large volumes of information, our agent continuously analyzes operational signals. Based on the status and context of each order, they classify critical situations, such as delays, and recommend immediate action.
This analysis provides a clearer diagnosis for the team, allowing them to act even before the customer files a complaint.
2. Campaigns: Complete real-time diagnosis.
Are your campaigns generating results? Or is your team struggling to analyze each one individually due to the sheer volume of activations?
Our agent reduces the need to manually access the management tools of the platforms used. It collects data from integrated campaigns, identifies deviations, such as ROAS below target, and generates diagnoses with real-time recommendations.
This allows your team to see more clearly where the problem lies and take corrective action more quickly.
3. Ticket (Customer Service): automated analysis and action plans.
Unsure which ticket to address first?
Our agent performs an intelligent triage in seconds, analyzing the context, defining the ticket's criticality, and identifying the main issue, such as lack of information, delay, or need for specialized support.
After that, it automatically alerts the responsible area and creates a step-by-step action plan so that the support team can resolve the problem more quickly and accurately.
4. Inventory: purchasing decisions based on real data.
Managing dozens of SKUs, each with different behaviors, is a constant challenge.
Our mix and inventory agent cross-references your inventory data on monday.com, analyzing current stock levels, average sales, and replenishment lead times.
Based on this analysis, it issues critical stockout alerts, pinpoints exactly what the manager needs to buy, indicates the urgency of replenishment, and justifies the recommendation based on operational data.
The Agile Inc. team helps you take the next step in your operation.
Having monday.com is an important step in evolving the operation. But getting the most out of AI agents requires strategy, context, and a well-structured implementation.
Agile Inc. helps your company apply monday.com's AI Agents in a way that's connected to your operational reality, combining technology, processes, and intelligence to solve specific bottlenecks.
Our team specializes in structuring, implementing, and training monday.com AI agents to support workflows, connect platforms, and drive greater efficiency from the very first use.
Do you want to understand how these agents can play a role in your operation?
Schedule a meeting and speak with our experts.
