VorendaAutomation

AI and business automation

We build small tools that take repeated steps off people's desks: the quote typed twice, the schedule kept in three places, the order nobody can find. You keep the people and lose the retyping.

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What we do

  • Workflow automation

    We map a job as it moves from enquiry to invoice, then automate the handoffs that only exist because someone has to remember. Quoting, scheduling and order tracking are where most shops, contractors and distributors start.

  • Internal tools

    We build the small tool your staff open every day: a quote builder that knows your prices, a schedule your crew can read on a phone, an order board everyone trusts. Each does one job well and fits how you already work.

  • AI assistants and document processing

    We build assistants that read supplier emails, drawings, purchase orders and invoices, pull out what matters and put it where it belongs. A person confirms anything that could cost money.

  • System integrations

    We connect the systems you already pay for, such as accounting, email, inventory and your website, so a fact is typed once. When one changes, the others follow.

  • AI chatbots

    We build chat assistants for your website or WhatsApp that answer common questions from your own information and pass real leads to your team. They say so when they do not know.

  • CRM setup

    We set up a customer system such as HubSpot or Zoho around how you actually sell, with your pipeline, follow-ups and reminders automated. Nobody has to remember to call back.

  • Automatic reports and dashboards

    We pull numbers from your accounting, sales and operations systems into one screen that updates itself. Nobody builds the weekly report by hand again.

How a project runs

  1. 1

    Map

    We follow a real job from enquiry to invoice with the people who do it, and write down what actually happens. You see the map before we build anything.

  2. 2

    Prototype

    We build the smallest version that covers one real job and put it in front of your staff. They tell us what is wrong while it is cheap to fix.

  3. 3

    Build

    We extend the prototype to the whole process, connect your systems and test with real data. Your team keeps working the old way until the new one is proven.

  4. 4

    Switch over

    We move the work to the new tool, stay close for the first days and fix what real use shows.

Timing for each stage is set per project, in the written scope.

Questions

Do we have to replace our current software?

Usually not. We build around what you have and connect to it. If a system is the real problem, we say so and explain what replacing it would take.

Where does AI belong in this?

Where the work is reading and sorting: emails, documents, drawings and forms. It does not decide prices or commitments. A person confirms those steps.

What happens when the tool breaks?

It tells you, and it fails safe: work waits instead of going wrong. The guide says what to check first.

Is our data safe?

The tool runs on accounts you own, with access limited to the people who need it. We explain where each piece of data lives, and we do not move it anywhere without telling you.

What do you need from us to start?

An hour with the people who do the work, examples of real quotes, schedules or orders, and access to the systems involved. We list any gaps in the map.

Where we work

We work online with companies in Canada, the USA, Europe, India and beyond, and agree every project in a written scope.

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Cloud, DevOps and security