AI personal assistant
An assistant for your day: it prepares meetings, gathers what’s still open and organizes priorities for your review.
Explore the personal assistantAI AGENTS FOR BUSINESS / AI PERSONAL ASSISTANT
AuraX Solution builds AI agents for business and AI personal assistants: one for your day, one for your team, one for a large operation. Each is designed around the work you want to delegate, and you decide what it can do.
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Each agent starts from the work you want to delegate. You define what it can do, and what still goes through you.
An assistant for your day: it prepares meetings, gathers what’s still open and organizes priorities for your review.
Explore the personal assistantAgents that support your team’s routine: they pull open items together, prepare replies and summaries, and help make sense of the numbers.
See agents for businessAgents designed with your teams for larger operations, with clear permissions, approval points and a record of what was done.
Talk about your operationYOUR ASSISTANT, IN PRACTICE
Bring a request. See how an assistant can turn context into a clearer day, a prepared follow-up or a useful reading of your data.
Your request
Organize tomorrow: review the budget before my 10:30 check-in, then leave time to focus.
Context in this example
01Your note02Time preferences03Open tasksPrepare your questions before the check-in.
Agenda: scope, open questions and next steps.
A suggested block for uninterrupted work.
Confirm the times before adding anything to your calendar.
Your request
Turn these meeting notes into a clear follow-up. Show what we decided and what is still open.
Context in this example
01Meeting notes02Current scope03Open questionsRevise the scope before confirming delivery.
Who approves the revised scope? Owner to confirm.
A draft asking for the owner and the next review date.
Review the summary and approve the draft before sending.
Your request
Read this weekly request log. What changed, and what should I check next?
Context in this example
01Weekly request log02Three comparable weeks03One consistent definition45 requests across three weeks
Week 2 has the most requests. Check their source before treating the change as a trend.
Illustrative examples with fictional information. Nothing is booked, sent or connected to a live account.
You choose what the agent can see and do. Anything that needs your approval still goes through you.
First, one well-defined task. The agent’s role only grows when it makes sense for you.
Plain language, from the first conversation to everyday use.

Meet AXOS. The golden key stays with you.
Frequently asked questions
They are AI assistants that support your team’s routine: they gather open items, prepare meetings, replies and summaries, and help analyze your data. At AuraX, each agent is designed around your company’s processes and permissions, and you decide what it can carry out and what needs approval.
It is support for your day: it prepares meetings by gathering authorized documents and open items, finds information in a document collection you choose, and turns notes into tasks and priorities for your review. You define the sources and permissions; actions such as sending messages or making purchases only happen with explicit authorization.
An AI agent uses instructions, information and authorized tools to carry out steps in a task. An assistant can gather open items, prepare a meeting agenda or analyze a spreadsheet. At AuraX, we define the goal, sources, permissions and evaluation criteria before putting a workflow into use.
It can be designed for either context. For personal use, it helps gather information, prepare for meetings and organize tasks. For a business, it supports administrative work: bringing together open items, preparing summaries and analyzing data. Scope and permissions are defined for each use.
With a task or decision that needs to move forward. We assess the goal, data and available systems to propose an initial scope with deliverables and evaluation criteria.
We first assess your current tools, access and integration options. We use what makes sense for the project; the feasibility of each connection is confirmed before it is included in the scope.
You and your team define which steps can run and which need approval. These limits and the handling of exceptions are part of the project's design and testing.
We need data that fits the question. An initial analysis can start with spreadsheets and organized records. To project scenarios, we assess whether the historical data has enough consistency and coverage. When that foundation is missing, preparing it is the first step.
The proposal depends on the scope, integrations and condition of your data. Stages, deliverables, responsibilities and tool costs are presented before you commit.
Tell us what takes up your time. We’ll show you how an AI agent could help.
Talk to us