# What are business AI agents?

A business AI agent is a bounded software component that uses authorized business context to prepare the next step in a defined workflow. It may organize an incoming message, extract fields from a document, connect a customer record to an open item, or surface an exception that needs a person. The boundary is the point: a business agent works inside a process with known sources, permissions, rules, owners, and review states.

## The useful definition is tied to a workflow

A generic chat prompt can produce an answer without knowing whether the answer belongs to a real customer, invoice, site, or approval. A business agent has a job and a source context. It may receive a WhatsApp order with a photo and a spreadsheet, keep the messages together, identify missing lines, and prepare a structured order for review. It may receive a PDF invoice, compare it with configured rules and existing records, and prepare an ERP draft with exceptions attached.

This is the model behind Queli Makra. Makra connects work state, records, permissions, rules, sources, owners, and actions in one operational layer. It can prepare records, tasks, drafts, classifications, reminders, reports, and exceptions from the context a company authorizes for that process.

## What happens when the agent is uncertain

Uncertainty is part of the workflow. Missing data, low confidence, or a rule that needs a responsible person becomes an exception. The system should show the source and the unresolved choice instead of turning a guess into a completed record. That gives a finance reviewer, account owner, compliance expert, service coordinator, or other named role a decision to make with the relevant evidence in front of them.

The difference becomes clear in daily work. An automotive invoice workflow reduced processing time by 98%, while a receivables workflow handles more than 60 daily follow-ups without spreadsheets. Each agent has a defined job, a known source, an exception route, and a person responsible for the result.

## How this works in Makra

In Makra, an agent works inside a bounded workflow rather than acting as a free-running digital employee. It prepares the next record or decision packet and brings the source, rule, owner, and open questions with it. The authorized person confirms actions with financial, regulatory, or customer consequences.

For a buyer, the practical questions are concrete: What sources can the agent read? Which fields or actions can it prepare? What does an exception look like? Who approves the result? Where is the original evidence kept? Those questions reveal whether an “AI agent” describes a governed process or a slogan.

## Sources

- https://www.queli.ai/
- https://www.queli.ai/llms.txt

## Other languages

- [English](https://www.queli.ai/ai-agents/answers/business-ai-agents)
- [Hrvatski](https://www.queli.ai/hr/ai-agenti/answers/ai-agenti-za-poslovanje)
- [Deutsch](https://www.queli.ai/de/ki-agenten/answers/ki-agenten-im-unternehmen)