AI agents

An AI assistant for the work behind your business.

AI agents for business are assistants that gather open items, prepare meetings and replies, and help analyze your team’s data. AuraX designs each one around your processes and permissions, like an AI administrative assistant.

Explore this solution

The challenge

Where work loses time and context.

A request comes in, but the next step means finding a conversation, checking a proposal and looking something up in another system. The same work repeats before every response or decision.

The approach

Your everyday AI assistant.

We choose a routine with your team, map the sources it needs and define what the agent can do. The first workflow is tested against clear criteria, including the situations where it needs to ask for help.

What we build

A result you can evaluate.

Context you can look up

Selected sources and references that let you check where each piece of information came from.

A connected workflow

Tools assessed, permitted steps defined and a handoff to your team when needed.

A pilot you can evaluate

Real test scenarios, failure records and criteria for deciding whether to expand.

From information to actionIllustrative workflow

Your sources

DocumentsYour company's knowledge

ConversationsThe history that matters

Systems and dataYour operational context

AuraX agentContext + rules + tools

Work moves forward

A next action,
with context.

A summary, response or task
ready for the next step.

Human review when needed

Sources and actions are defined according to each project's tools, permissions and goals.

Illustrative scenario

How it could work in your operation.

The situation: A contact asks for an update on a proposal.
The work: The agent checks the authorized history and the document, then drafts a response with the next step.
The expected output: The team receives context, references and a response it can review before continuing the conversation.

Actions, sources and permissions are defined for each project. Your team keeps the agreed approval points and a way to review responses or handle exceptions. This scenario is illustrative and contains no client data.

Frequently asked questions

Understand the solution.

Is an agent the same as a chatbot?

A chatbot holds a conversation. An agent can also consult sources and use tools to complete steps in a task. What it can do depends on the project's permissions, integrations and rules.

How can the team check a response?

The workflow can include references to the sources consulted, task records and a review before an action is carried out. We define these features according to the type of information and the risk involved in the process.

What happens when the agent cannot continue?

The project defines when to stop the task, record the reason and hand the context to a person. These scenarios are included in the pilot tests.

Connections that make sense

What work would you transform?

Tell us what takes too much time, holds up a decision or costs you opportunities. We start by understanding your context.

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