AI agent architecture orchestrated by GoCode

AI Agents Built Around Your Business Processes

They integrate with your systems, run tasks and work alongside your teams, with business rules and human oversight.

What They Do

What Can AI Agents Do for Your Business?

An AI agent interprets a request, accesses the authorized information in your systems, uses tools and runs tasks within defined limits. When the process calls for it, several specialized agents work together, with human oversight where it matters.

Access Business Information

They connect to your CRM, ERP, databases and authorized documents to retrieve what each case needs.

Manage Customer Conversations

They interpret natural-language questions over WhatsApp, web and other channels, and respond in context.

Automate Business Tasks

They prepare documents, update records and trigger authorized actions within your systems.

Coordinate Work Across Systems

They connect tasks that span different applications and teams, keeping the full process context.

Validate Data and Enforce Business Rules

They cross-check data, verify conditions and request review when something falls outside the criteria.

Escalate to Human Teams

They hand off the case with full context when it needs judgment, approval or a special review.

Use Cases

Where Can AI Agents Add Value to Your Business?

Their scope depends on your available systems, your business rules and the actions your organization chooses to authorize.

Customer Service and WhatsApp

Answers inquiries with up-to-date information, keeps the context of each conversation and hands off to a rep when needed.

Sales and Sales Operations

Supports your sales team with access to information, proposal preparation and up-to-date records.

Operations and Logistics

Coordinates activities across orders, inventory, suppliers and operational systems.

Finance and Administration

Analyzes documents, compares information across systems and prepares items for review.

Document Management and Compliance

Reviews information against defined criteria and keeps evidence of the work done.

Engineering and Complex Processes

Agent architectures with differentiated responsibilities and controls for high-rigor processes.

The Right Approach

AI Agents or Traditional Automation?

Not every process needs AI. We start by understanding your business challenge, then determine which technology makes the most sense.

Traditional Automation

Rule-Based Tasks

For repetitive tasks with predictable outcomes and clearly defined rules.

AI Agent

Interpret and Act

For tasks involving variable information, natural language, and authorized actions.

Multi-Agent System

Coordinated Workflows

For processes requiring specialized agents to work together across multiple steps.

AI doesn't replace your control. We design the architecture so that control becomes operational and scalable.

Why GoCode

AI Agents Designed for Real-World Operations

Business Process Expertise

We approach AI agent development with a deep understanding of business workflows, system integration and operational requirements.

Solutions Tailored to Your Business

Every solution is designed around your processes, business rules and objectives, not a one-size-fits-all architecture.

Integration with Your Existing Systems

Our AI agents work with the business applications and data sources your organization already relies on.

Human Oversight and Control

We define permissions, validation steps and approval requirements based on the risks and responsibilities of each process.

We design AI agents for any industry and process.

Customer Service · Sales · Operations · Logistics · Finance · Legal · Compliance · Digital Transformation

Frequently Asked Questions

What Is an AI Agent?

A software system that uses artificial intelligence to interpret information, use tools and perform tasks toward a goal, within the rules and permissions defined for it.

What's the Difference Between a Chatbot and an AI Agent?

A chatbot usually focuses on answering questions or holding conversations. An AI agent can also use tools, query business systems and perform authorized tasks. The difference lies in the capabilities implemented, not the name of the solution.

What Is a Multi-Agent Architecture?

A system where several specialized AI agents work together to carry out different tasks in a process. Each agent takes a responsibility: accessing information, validating conditions, preparing results or running authorized actions.

Does My Business Need Multiple AI Agents?

Not necessarily. Some processes can be solved with a single agent or with traditional automation. The right architecture depends on complexity, integrations, risks and the outcomes you expect.

Can AI Agents Integrate with WhatsApp?

Yes. With the right integrations, an agent can receive inquiries over WhatsApp, use your business information to respond and hand the conversation off to a person when needed.

How Long Does It Take to Implement AI Agents?

It depends on the scope, the availability and quality of the data, the integrations required and the controls needed. An initial assessment defines the stages and the implementation criteria.

Can AI Agents Make Mistakes?

Yes. Like other AI-based systems, they can misread information or produce inaccurate results. That is why we add authorized sources, validations, testing, action limits and human oversight where appropriate.

How Do I Know If a Process Is Suitable for AI Agents?

You assess the tasks involved, the available information, how often it runs, the need for interpretation, the integrations and the risks. In some cases, traditional automation is the better option.

Let's talk

Discover Where AI Agents Can Make a Difference in Your Business

We'll assess a specific business process with you and help determine whether an AI agent, a multi-agent system or traditional automation is the right approach.

Request a Process Assessment