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// SOLUTION

AI agent development for business

We build AI agents that serve customers, query systems and carry out concrete tasks inside the operation, with defined permissions, handoff to people and a record of every action.

GOALTOOLSPERMISSIONSHANDOFFAUDIT AI AGENTORVIXLABS
// SOLUTION ARCHITECTURE
CONNECT WHAT ALREADY WORKS · ADD THE INTELLIGENCE THAT IS MISSING MESSAGESSYSTEMSDOCUMENTS AI AGENTINTEGRATE · COORDINATEAUTOMATE · TRACEwithout replacing systems that still work ACTIONSHANDOFFAUDIT TRAIL measure → learn → adjust
// USE CASES
01Customer service agent on WhatsApp
02Sales and follow-up agent
03Internal agent for the team
04Agent that operates systems

What an AI agent is

An AI agent is a system that receives a goal, decides which steps to take and uses tools to achieve it: querying a database, searching documents, booking an appointment, creating a CRM task or replying to a message. Unlike a chatbot with fixed answers, it can handle conversations and situations that were not scripted word for word. That same flexibility is why it needs clear limits.

What AI agents do for a business

  • Customer service: answers questions with real information, collects details and hands off when appropriate.
  • Sales: qualifies inquiries, suggests catalogue products, sends approved quotes and follows up.
  • Internal operations: finds procedures, builds reports, checks order status or moves data between systems.
  • Technical support: guides simple diagnostics and opens tickets with complete information.

Agent, chatbot or automation

Not everything needs an agent. If a process always follows the same steps, workflow automation is cheaper and more predictable. If the job is answering frequent questions, a bounded assistant is enough. An agent is justified when situations vary, several tools must be combined and simple decisions are currently made by a person.

How a custom AI agent is built

  1. Goal and scope: what the agent must achieve and what is out of scope.
  2. Tools: which systems it may query and which actions it may take, each with its own permission.
  3. Knowledge: the company documents and data it uses to answer.
  4. Handoff rules: when the conversation goes to a person and with what summary.
  5. Testing: real cases, edge cases and attempts to push it outside its role.
  6. Supervised launch and measurement against the previous situation.

Permissions and human control

An agent should not be able to do everything it technically could. Actions fall into three groups: those it carries out alone, those it proposes for a person to approve and those it never does. Payments, price changes, sensitive data or contractual commitments stay under human authority. This is enforced in the system’s code, not only in instructions to the model.

Which channels it works on

WhatsApp, website chat, email, phone or internal tools such as the CRM itself. The same agent can serve more than one channel while sharing the customer’s history. For phone calls, see AI voice agents.

Which models it uses

Chosen per task: commercial models through an API when that fits, open models on your own servers when data cannot leave the company, or combinations. The design allows switching models without rebuilding the agent.

What is measured

Cases resolved without intervention, correct handoffs, errors, response time, reverted actions and business results. An agent is expanded once it proves it improves those numbers, not before.

// RELATED SERVICESWhatsApp AI chatbotThe most requested agent: service and sales on WhatsApp.→Workflow automationWhen a fixed workflow is enough and no agent is needed.→Gustave H.A conversational system that queries tools and carries out actions.→AI trust and controlPre-action control for AI systems that can act.→What is an AI agentHow it differs from a chatbot and from automation.→AI virtual assistantAn assistant for customers or for the internal team.→
// FAQ

Frequently asked questions

What is an AI agent and what is it used for?+

It is a system that uses an AI model to reach a goal by combining tools: querying systems, searching information and carrying out tasks. Businesses use agents for customer service, sales, support and repetitive internal work.

How much does AI agent development cost?+

It depends on integrations, conversation volume and the chosen model. Besides the build, there are monthly costs for model usage and messaging or telephony. We quote after reviewing the case.

What is the difference between a chatbot and an AI agent?+

A classic chatbot answers from predefined options or texts. An agent understands open requests, decides which tool to use and can carry out actions, always within the permissions it was given.

What do I need to build an AI agent?+

A concrete goal, access to the systems or documents it will use and someone from the business who defines rules and reviews the first cases. We build the technical part.

Can an AI agent make mistakes?+

Yes, like any system. That is why what it may do alone is limited, it is tested with real cases, it hands off to people when in doubt and every action is recorded for review.

Are AI agents useful for small businesses?+

Yes. A well-bounded agent, for example one that answers questions and books appointments on WhatsApp, can be a small business’s first step without a large project.

Do you offer custom AI development?+

Yes. We develop custom AI agents and components around a company’s processes and systems instead of adapting the business to a generic tool, with permissions, logs and human approval for consequential actions.

// ORVIXLABS

Tell us what you need to solve. We will tell you whether AI, automation or custom software fits, and what it involves.

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