In use at AutoLabora

AI OS

One brain for your whole company.

Everything your company knows sits in documents, inboxes and people’s heads. An AI OS brings it together, so anyone on the team can ask in plain language and get the work done your way.

What it costs when knowledge stays scattered

01

The answer lives in one person’s head

When they’re away, everyone waits. When they leave, it leaves with them.

02

New people take months to get going

They ask the same questions, and they learn your way of working by making mistakes.

03

Generic AI doesn’t know your business

It gives a fine answer that isn’t yours: not your rule, not your price, not your format.

From scattered to one place

What you already have goes in. Answers and finished work come out, the way your company does things.

  • Documents
  • Email
  • Your CRM and tools
  • Rules and past decisions
Your AI OS
  • Answers with your rules
  • Reports in your format
  • Drafts ready to review
  • New employees up to speed

A day with your AI OS

Scroll through how a team actually uses it.

  1. 1

    Anyone asks in plain language

    A new employee asks how refunds work. They get your rule and where it comes from, not a general answer.

  2. 2

    Each person sees only what they should

    Roles decide who reaches what. Payroll stays with finance, and contracts stay with the owner.

  3. 3

    Repeated jobs become one click

    The weekly report, an answer to a quote, welcoming a new hire. Each becomes a ready-made skill anyone can run.

Your way of working

It learns the rules you never wrote down.

We sit with your team, write down how the work really gets done and keep it up to date. Your company’s way of working stops depending on who’s in today.

  • Your 5 most repeated jobs, ready to run
  • Connections to your tools, like email and your CRM
  • Monthly upkeep as your business changes
You stay in charge

People decide. It does the legwork.

It drafts, sorts and prepares. Important decisions wait for a person’s approval, and you can see what it did.

  • Approval before anything important goes out
  • Access by role
  • Your AI provider chosen with you, with the cost shown first

Small parts, turning together.

Each piece does one job well. Connected, they keep working while your team does something else.

Your project, step by step

A typical project. We size it with you after a short call.

  1. Step 1

    Map

    Which knowledge matters, who needs it, and which jobs repeat the most.

  2. Step 2

    Organise

    We gather and clean your documents and write down your rules.

  3. Step 3

    Build

    Roles, connections and your 5 most repeated jobs.

  4. Step 4

    Train and maintain

    Team training, then monthly upkeep.

What you get

  • Company knowledge, organised and kept up to date
  • Rules for how work gets done
  • Roles, so each person only reaches what they should
  • Connections to your tools
  • Your 5 most repeated jobs, ready to run
  • Team training and monthly upkeep

What we need from you

  • Your documents and processes
  • Someone who knows how the work really gets done
  • Access to the tools it connects to
  • Time from your team for training

What it won’t do

  • It won’t make an important decision without a person’s approval
  • It doesn’t replace your team’s judgment
  • It isn’t a generic chatbot with your logo on it
In use at AutoLabora: We run our own company on our AI OS. For your team, we add logins, permissions and an activity log.

Questions

What it costs

From CAD 3,500, plus a monthly fee if we run it.

Quoted after a short call, based on how much knowledge goes in, how many people use it and which tools it connects to. Your AI usage is billed to you.

How pricing works
How is this different from ChatGPT?

A general assistant doesn’t know your rules, prices or history. An AI OS works from your company’s own knowledge, with your roles and your way of doing things.

Who can see our information?

Access goes by role, so each person only reaches what they should. We agree which AI provider processes your data before we start.

How big does a company need to be?

It starts paying off when knowledge lives in more than one head. We’ll tell you honestly if you’re too small for it.

What happens when our processes change?

Monthly upkeep is part of the service. You tell us what changed, and we update it.

How is the team version different?

We use our own version every day. The team version adds logins, permissions and an activity log, and is set up around how your company works.

Which job does your team repeat the most?

A clear answer within 2 business days: we can build it, partly, or not a fit.