AI WITH COMPUMAC

AI for your business. Explained clearly.

We help businesses find AI applications that make sense, try them in day-to-day work, and connect them to the workflows they already have.

What comes inE-mails, calls, requests

Prepared

Yours to decide

ONE WORKDAY

The same day. Twice.

Four moments almost every office knows. Flip the switch and see what a good workflow makes of them.

  1. 8:10 a.m. · Inbox

    The morning starts in the inbox.

    Today: Every reply starts from scratch – even the ones you have written many times before.

    With a workflow: For recurring questions, a draft reply written to your guidelines is ready and waiting. You read, edit, send.

  2. 10:40 a.m. · Phone

    The phone rings. Everyone is busy.

    Today: The call goes nowhere. You never learn what it was about.

    With a workflow: An AI assistant picks up, records the request, and takes the callback request. At CompuMac, that is Ivy. You call back already knowing what it is about.

  3. 1:30 p.m. · Order request

    “Do you have that in stock?”

    Today: Someone stops what they are doing and checks the stockroom. The customer waits.

    With a workflow: The stock check runs alongside, and the reply is prepared. You confirm.

  4. 4:20 p.m. · Website

    The same question. Again.

    Today: By form, by e-mail, by phone – and every time someone answers by hand.

    With a workflow: A chatbot answers frequent questions and hands complex requests over to your team. You take over when it gets tricky.

Example scenes for illustration, not measurements. We work out together what makes sense for you.

AN EXAMPLE TO TRY

What slows you down the most?

Pick your industry and the task that eats the most time. You will see what a workflow for it can look like.

Your industry
What slows you down?

To be clear: no AI is running here. You are looking at examples we wrote in advance. Your real workflow takes shape in conversation – with your data and your rules.

ExampleAnswering e-mails

Replies that are already prepared.

A customer e-mails to ask for a maintenance appointment. The draft with your usual details is already waiting.

For the third time this week, the same question about a form. The answer is prepared as a draft.

A customer asks whether you can hold an item. The draft follows your rules for reservations.

An appointment request comes in after hours. In the morning a draft is waiting – it only goes out once someone has read it.

  1. TriggerAn e-mail arrives.
  2. AI preparesA draft reply written to your guidelines.
  3. You decideYou read, edit, and approve.
  4. ResultThe reply goes out.

ExampleTaking calls

Calls that someone answers.

You are up on the ladder and the phone rings. The assistant picks up and notes what it is about.

Everyone is in a meeting. The caller is still heard, and the callback request is noted.

Saturday, the store is full. The assistant answers the question about opening hours.

Consulting hours, and the phone keeps ringing. Callback requests are taken – what is urgent is your call.

  1. TriggerA call comes in.
  2. AI preparesThe assistant picks up and records the request.
  3. You decideYou get the note and decide.
  4. ResultA callback with the background already known.

ExampleHandling order requests

Order requests with a look at the stockroom.

A customer needs a spare part. The stock check runs alongside, and the reply is prepared.

The department reorders supplies. Stock is checked, the reply prepared.

“Do you still have that in blue?” Stock is checked; the reply is waiting for your okay.

Supplies are running low. The reorder is prepared – it is only placed once you approve it.

  1. TriggerAn order request arrives.
  2. AI preparesThe stock check runs, the reply is prepared.
  3. You decideYou confirm.
  4. ResultThe customer has an answer.

ExampleQuestions on the website

Answers to frequent questions.

“Do you come out to us, too?” The chatbot answers questions like that. A damage report goes straight to you.

Opening hours, responsibilities, documents: the chatbot answers frequent questions, and the rest goes to the right desk.

“Are you open today?” is answered by the chatbot. The complaint reaches a person.

Directions and office hours are answered by the chatbot. Anything personal goes to you – not to the machine.

  1. TriggerA question on the website.
  2. AI preparesThe chatbot answers frequent questions.
  3. You decideComplex requests go to your team.
  4. ResultThe request reaches the right person.

ExampleCopy & images for social media

From topic to finished draft.

The project is finished and the photos are taken. A draft text and optimized images are ready.

There is news to share. The draft is ready – tone and approval come from you.

New stock has arrived. A draft text and optimized images are waiting for your okay.

A notice for your clients or patients: prepared as a draft, reviewed by you as the experts.

  1. TriggerThe topic is set.
  2. AI preparesA draft is written, images are optimized.
  3. You decideYou set the tone and approve.
  4. ResultThe post goes live.

Before a workflow like this starts, we settle which data may be used, who checks the results, and when a person decides.

Talk through this workflow

HOW WE START

Understand first. Then start small.

  1. Spot the potential

    Together we look at recurring tasks, the data you already have, and where relief is possible.

  2. Test on a small scale

    Build one concrete use case and check what it actually delivers.

  3. Bring people along

    Training, clear responsibilities, and ongoing review of the results.

GUARDRAILS

Clear limits are part of it.

Before we build anything, we settle which data may be used, who checks the results, and when a person decides. That is how an idea becomes a workflow you can follow.

  1. DataWhich data may be used?
  2. ReviewWho checks the results?
  3. DecisionWhen does a person decide?

WHAT WE DO FOR YOU

From an idea to a workflow you can use.

  • Strategy workshop

    Analyze processes, choose use cases that make sense, and develop a roadmap you can act on.

  • Training for your team

    Try ChatGPT and other AI tools on your actual tasks. Practice good prompts, quality control, and clear responsibilities.

  • Technical implementation

    Prepare data, connect systems through suitable APIs, and test the workflow together.

  • E-mail & orders

    Design draft replies written to your guidelines, support for order requests, and matching stock checks.

  • Website & social media

    Support content workflows, draft copy, image optimization, and analysis. Plan a chatbot for frequent questions that hands complex requests on.

  • Keep improving

    Watch the results, spot recurring errors, and improve processes in regular reviews.

IN USE AT COMPUMAC

Hear for yourself: Ivy.

At CompuMac, our AI assistant Ivy answers calls. Call her – no sign-up, around the clock.

  • Record requests in a structured way
  • Take callback requests
  • Answer frequent questions
Todi Vasilia in the CompuMac store

THE NEXT STEP

Let’s talk about it.

Tell us what you have in mind. Together we will work out the next step.