The repetitive work eating your team's hours, like copying data between apps, chasing approvals, and rebuilding the same report, automated. AI only where AI genuinely does it better.

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An automated workflow passing a task from one system to the next

Automation That Starts from the Problem, Not the Technology

In many companies, someone spends hours every week on the same tasks: moving data from email into a spreadsheet, compiling reports from several systems, or reminding a manager to approve a document. The work matters, but it does not need a human decision.

Ravexa maps that workflow first, then automates the steps that can be automated in the simplest way that stays reliable. We add AI where it is actually needed, such as reading unstructured documents, classifying requests, or answering recurring customer questions.

The result is measurable: hours handed back to the team, fewer input errors, and reports that are ready before the meeting starts.

What's Included

Work We Can Automate

Examples of the work we automate most often for clients.

  • Workflow Automation

    Data that moves between apps on its own, tasks created and routed to the right person, and reminders nobody has to send by hand.

  • Scheduled Reports

    Daily, weekly, or monthly reports compiled from several data sources and sent automatically to email or a team chat.

  • Document & Data Extraction

    Invoices, purchase orders, or forms read automatically and entered into the system without retyping.

  • Chatbots & Virtual Assistants

    A chatbot on your website or WhatsApp that answers common questions and hands the conversation to your team when needed.

  • System Integration

    Connecting the apps you already use, such as your ERP, CRM, accounting software, or marketplaces, through their APIs.

  • AI Inside Your Existing Systems

    AI features inside your own app, such as automatic summaries, request classification, or internal document search, with your data kept under control.

Examples

Repetitive work that pays off fastest once it is automated.

  1. Operational report roll-ups

    Data from several systems combined and sent automatically every morning, so there is no more manual roll-up at month end.

  2. Invoice and purchasing documents

    Documents from email read automatically, matched against purchase orders, and passed on for approval.

  3. Customer service on WhatsApp

    Frequently asked questions answered automatically, while complex ones go to the team with the full context.

  4. Internal approvals and reminders

    Approval requests routed to the right manager, with automatic reminders when they have not been acted on.

  5. Order and stock synchronisation

    Orders from every sales channel land in one system, and stock is updated automatically across all of them.

How We Work

How a Project Runs

The same four steps whether it is a two-screen tool or a platform, so you always know which one you are in, and what you are holding at the end of it.

  1. 01

    Discovery

    A 30-minute call about what you are trying to fix, who uses it, and what already exists.

  2. 02

    Design

    Flows first, then screens. Nothing goes to the build until you have clicked through it yourself.

  3. 03

    Build

    Short iterations in a shared channel, with something that actually runs at the end of each one.

  4. 04

    Launch

    Release, data migration, and a handover of every account, repository, and deployment key.

Questions About Automation & AI Integration

Short answers to the questions that usually come up before the first call.

How much does business process automation cost?

It depends on the number of workflows automated, the systems that need connecting, and whether an AI component is needed. Many automation projects have a small, clear scope and can be done at a fixed price. You get a written estimate after the free consultation.

How soon can an automation be up and running?

Automating a single workflow is often much faster than building a new application. We agree the exact timeline in writing after mapping your workflow.

Is company data safe when AI is involved?

We decide together which data AI may process and where that data is stored. For sensitive data, we choose an approach that keeps the data under your control.

Can automation connect to the apps we already use?

Most business apps offer an API or a way to export data that can be integrated. We check what is possible during discovery before promising anything.

Who monitors the automation once it is running?

We set up monitoring and error alerts, so failures are caught before they cause problems. The workflow documentation is handed to your team, and we stay on after launch.

Other Services

Most projects use more than one service. These are the ones most often paired with this one.

Which Repetitive Task Do You Want to Stop Doing?

Tell us about the one process that takes up most of your team's time. In 30 minutes we can judge whether it is worth automating and how many hours it could save.

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