mondaybrewBook
Kaan CatalkayaBook a review30 min with Kaan, who builds it
kc@mondaybrew.dk+45 42 21 10 65Vesterbrogade 74, 4. sal · 1620 København VCVR 45 21 77 79
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.

OpenAI Select Partner
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?
01
Your questions about the business need data from several places.
02
A useful idea is waiting because it needs a developer or specialist.
03
The same information has to be found, processed and entered again.
04
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 requestsIllustrative examples using fictional data. Available actions depend on the systems, permissions and tasks we set up together.
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.

pricingReads prices and discount rulessources found
quotesFinds previous quotes for testingtest cases ready
toolBuilds the calculator with fields and validationfirst version
testingChecks calculations against previous quotesresults ready
result

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

stops here

You have tried the tool and also want to save a quote as a draft on the customer record. Give AI the next task.

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.

01

Less work by hand

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

02

Answers across the business

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

03

Technical ideas become working tools

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

04

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
Companyshop24Connected ecommerce operation
Companyshop24ecommerce · Denmark

Work on the webshop, products and freight from one setup

At Companyshop24, the setup connects Shopify, supplier data, advertising, CRM and freight. It supports work on large product imports, performance analysis and new freight workflows with the relevant information available throughout.

The relationship began with Meta Ads and expanded as more tasks and systems were connected.

A construction worker fastening timber above a brick wall
Parlo BygShared operating environment
Parlo Bygconstruction · Denmark

Find information across email, files and building projects

At Parlo Byg, we brought email and files into Microsoft 365, OneDrive and SharePoint and connected Ordrestyring. The owner can now find and work with information from emails, building projects, materials and suppliers through the shared setup.

The work began with making the company’s information accessible.

A business meeting around a conference table
AJFRAttribution and operating data
AJFRservices · France

See which campaigns produce sales opportunities

At AJFR, we connected Webflow, Calendly, Airtable, Make and Google Ads with tracking and sales data. Outcomes from the sales process can be fed back into advertising.

This supports evaluating campaigns by qualified opportunities and customers, and investigating what happens after 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.

01

Access to relevant information

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

context
02

Clear limits on actions

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

runtime
03

Work you can follow

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

visibility
04

Someone responsible

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

control
an owner is accountable here01Contextwhat it knows02Runtimewhere it acts03Visibilitywhat it did04Controlwho decidesInstructions are updated as the work changes

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.

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
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

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.

Kaan reviewing results at his laptop