kc@mondaybrew.dk +45 42 21 10 65CVR 45 21 77 79Vesterbrogade 74, 4. sal
1620 København V

● AI for your business

Put AI to work in your company.

Describe what you want done. AI works in your systems to carry it out.

We connect AI to your systems and company knowledge so you can put it to work across the business. Have it analyse what drives your results, build new tools and automate entire workflows. You direct the work through the conversation and can have the solution changed and expanded as you go.

Book a review →See AI do the work ↓

CRMPipelinedeals, owners, history

ADSAd accountsspend, results

WEBWebsiteforms, traffic

FINFinanceprices, margin

MAILInboxwhat was promised

DOCSFilesspecs, quotes

CALCalendarwhat was agreed

PHONECallsnotes, decisions

SHEETSpreadsheetsfigures, calculations

FLOWAutomationstriggers, actions

PMDeliverystatus, handovers

SUPSupportquestions, cases

configured by mondaybrewYour AIconnects the systems and context the workflow needsfinds the approved information before work beginsworks inside the tools your company already usesshows its sources, actions, and approval points

drag any system; the wiring follows

What would you get done with more time and technical help?

There is data you want to understand, work that takes too long and tools you need someone to build. AI can take on some of that work when it can access the relevant systems and understands what the task requires.

Kaan presenting Google Ads results in the office

Describe the task you want done. We handle the technical setup.

Does this sound familiar?

Your questions about the business need data from several places.

A useful idea is waiting because it needs a developer or specialist.

The same information has to be found, processed and entered again.

After an answer from AI, you still have to carry out the work.

These are useful places to look for the first AI project.

We give AI access to the information and tools the task needs, then test with you what it can carry out.

gathering company informationwhat the business already knows

company information

Your company knowledge,
available to AI.

Prices, quotes, call notes, delivery promises, and customer history already exist. They are simply spread across the tools your company uses.

CRMPipelineHubSpot · Pipedrive

ADSAd accountsGoogle Ads · Meta

WEBWebsiteShopify · WordPress

FINFinancee-conomic · Dinero

MAILInboxGmail · Outlook

DOCSFilesDrive · SharePoint

CALCalendarGoogle · Outlook

PHONECallsTeams · Aircall

SHEETSpreadsheetsExcel · Sheets

FLOWAutomationsn8n · Zapier · Make

PMDeliveryAsana · Jira

SUPSupportZendesk · Intercom

what we build

AI with access to
the tools you use.

↓ keep scrolling; it gathers as you go

Describe the task. AI gets to work.

Ask AI to investigate something in your business. Discuss what it finds and give it the next task in the same conversation. These examples show how analysis can lead to action and how recurring work can start automatically.

example requests

you

Build a quoting tool from our price list and discount rules. Use previous quotes to test the calculations and show me a version I can try.

AI is working

Price listReads prices and discount rules

CRMFinds previous quotes for testing

ToolBuilds the calculator with fields and validation

TestChecks calculations against previous quotes

result

Quoting tool · first versiontested against 12 earlier quotes

Product

Service agreement, 12 months

Quantity

Discount

Volume discount 8%

List price 61,200 kr. · discount −4,896 kr.56,304 kr.

12 / 12 quotes match2 rules need clarifying

A first version is ready to try. You can inspect each calculation and review the rules that need clarification.

Get more done with the business you already have.

The value might be hours saved on a regular task or a tool you can now get built. Together, we choose where it is worth starting.

Less work by hand

Let AI process information and carry out tasks in the connected systems while you review the result.

Answers across the business

Investigate sales, customers or projects using data from several systems, then ask follow-up questions.

Technical ideas become working tools

Get a calculator, internal tool or automation built around what you need.

More time for customers

Spend less time preparing and transferring work, leaving more time for advice, delivery and the decisions you need to make.

From the first question to something you can use.

Some tasks start with a message from you. Others need to run whenever a new enquiry, file or order arrives. Here are examples of both.

01 · Quoting

Build a quoting tool

Give AI your prices and calculation rules. Have it build a tool for calculating quotes, then test it against previous cases.

Prices · calculation rules

02 · Enquiries

Handle new enquiries

Let each new enquiry trigger the work: AI reads it, finds the customer history and creates the case with a draft reply.

Email → case

03 · Sales

Investigate what brings in customers

Connect advertising results with qualified enquiries and sales. Identify useful changes and have AI work on implementing them.

Advertising · sales data

04 · Management

Ask about this week’s results

Have AI review the connected systems. Investigate changes in sales, finances or projects and ask about the explanations.

Questions · source data

05 · Tools

Build a tool for customer work

Describe what a customer portal or internal tool needs to do. Have AI build a first version you can try and refine.

Describe · build · try

06 · Meetings

Turn meetings into action

Have AI read the decisions, create tasks and update the relevant cases. Review messages before they are sent.

Decisions → tasks

07 · Products

Prepare a complete product range

Have AI process supplier files, match variants and check pricing and freight data. Review the exceptions, then start the import.

Supplier → webshop

08 · Automation

Automate a recurring task

Explain what should happen when an order, file or enquiry arrives. Get the workflow built and tested so it can run regularly.

Trigger → result

What connected systems make possible.

These examples come from our client work. Each setup is built around the company’s own tasks and tools.

A Compartec forklift loading tyres in a warehouse — **Companyshop24**Connected ecommerce operation

ecommerce · Denmark

AI saves work equivalent to several employees

Companyshop24 first hired mondaybrew for Meta Ads. Today, the setup covers Shopify, supplier data, product imports, CRM, advertising and freight workflows. The same context is available when products are prepared, sales performance is reviewed or a new tool is built.

According to managing director Lasse Olsen, the setup saves Companyshop24 work equivalent to several employees. Most recently, the company used it to put a forklift trade-in value calculator live on the webshop.

A construction worker fastening timber above a brick wall — **Parlo Byg**Shared operating environment

construction · Denmark

Company email is no longer tied to personal accounts

Parlo Byg's email was split across one.com, personal Microsoft accounts and employee accounts. mondaybrew moved it to Microsoft 365, created work users and brought the company's main addresses into shared mailboxes.

Employees can now work from the same company addresses, while Parlo Byg owns the accounts and access centrally. This is the foundation that files, workflows and AI can later be added to without building on personal logins.

A business meeting around a conference table — **AJFR**Attribution and operating data

services · France

Google Ads receives the outcome after the form

AJFR could see form submissions and bookings in Google Ads, but not which leads progressed through admissions. mondaybrew connected Webflow and Calendly with Make, Airtable and Google Ads, so the click ID and source follow each lead into the sales process.

When a paid lead reaches the agreed stage in Airtable, the result is sent back to Google Ads as a secondary offline conversion. AJFR can follow the path from ad click to a later sales stage and assess more than the cost of the form submission.

We make AI work in your business.

You need to be able to give AI a task and work with the result. We build the setup that makes that possible.

01We choose the AI solution that fits the work
02We connect the systems the task requires
03We make company knowledge and instructions available
04We build missing integrations and automations
05We test on your tasks and teach you to use the setup

We use established AI tools and configure them for your business. That includes system access, company information and instructions for the work. Where a connection or function is missing, we build it within the agreed project scope.

You decide what AI may do.

Access to relevant information

We agree which systems and information AI can use and who in the company gets access.

context

Clear limits on actions

We configure what AI can carry out directly and which changes or messages need your approval first.

runtime

Work you can follow

You need to see the sources and changes relevant to reviewing the result and correcting errors.

visibility

Someone responsible

We agree who follows up on errors, changing needs and daily use, both in your team and at mondaybrew.

control

We start with what you want to get done.

You do not need a finished AI idea. We review the business with you and choose an initial task whose value can be assessed in practice.

step 01

Find where to start

We review the tasks, systems and work that takes time or requires technical help. Together, we choose the first deliverable.

step 02

Agree the scope and price

You receive a concrete scope: what AI should do, which systems we connect and how we assess whether it works.

step 03

Build and try it

We configure the solution and test it on your tasks. We address what is missing with the people who will use it.

step 04

Start using it

You receive training and documentation. We agree who maintains the setup and how it can be expanded.

first engagement

A first conversation about the possibilities

Tell us about work you want to spend less time on or a tool you need. Together, we explore where AI could help and what needs to be clarified.

Book a review →30 minutes with Kaan, who builds it

You leave with

01An initial assessment of the possibilities
02An idea of where to start
03The systems and information we need to examine
04A next step if there is a case for continuing

A setup you can use and build on.

You receive the agreed setup with access, instructions and training. After handover, you can manage it yourselves or arrange ongoing support from mondaybrew.

two ways to work with mondaybrew

engagement 01 · build

Implementation and handover

We build and test the solution, document it and train you. You know what has been delivered, how to use it and who is responsible afterwards.

01The agreed setup, ready to use
02Tested on your tasks
03Documentation and training for your team

Discuss the build →

engagement 02 · run

Operation and development

We monitor the agreed integrations, handle errors and adapt the setup as needs or systems change. New tasks and features are agreed as we go.

01Support and maintenance agreed with you
02The agreed integrations are monitored
03New functions scoped as needs change

Discuss operation and development →

What would you like AI to take care of?

Tell us about your business and the work you want done. It might be something that takes too long or a tool you need help building.

In 30 minutes, we look at the possibilities and assess what is worth exploring further.

what we cover

01What you want to be able to do
02The tools you use today
03Where AI could be useful
04What an initial project could include

You speak with Kaan, who also handles the implementation.

Book a review →