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
BookDescribe 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.
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.

Describe the task you want done. We handle the technical setup.
We give AI access to the information and tools the task needs, then test with you what it can carry out.
Prices, quotes, call notes, delivery promises, and customer history already exist. They are simply spread across the tools your company uses.
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.
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.
A first version is ready to try. You can inspect each calculation and review the rules that need clarification.
You have tried the tool and also want to save a quote as a draft on the customer record. Give AI the next task.
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.
Let AI process information and carry out tasks in the connected systems while you review the result.
Investigate sales, customers or projects using data from several systems, then ask follow-up questions.
Get a calculator, internal tool or automation built around what you need.
Spend less time preparing and transferring work, leaving more time for advice, delivery and the decisions you need to make.
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.
Give AI your prices and calculation rules. Have it build a tool for calculating quotes, then test it against previous cases.
Prices · calculation rulesLet each new enquiry trigger the work: AI reads it, finds the customer history and creates the case with a draft reply.
Email → caseConnect advertising results with qualified enquiries and sales. Identify useful changes and have AI work on implementing them.
Advertising · sales dataHave AI review the connected systems. Investigate changes in sales, finances or projects and ask about the explanations.
Questions · source dataDescribe what a customer portal or internal tool needs to do. Have AI build a first version you can try and refine.
Describe · build · tryHave AI read the decisions, create tasks and update the relevant cases. Review messages before they are sent.
Decisions → tasksHave AI process supplier files, match variants and check pricing and freight data. Review the exceptions, then start the import.
Supplier → webshopExplain what should happen when an order, file or enquiry arrives. Get the workflow built and tested so it can run regularly.
Trigger → resultThese examples come from our client work. Each setup is built around the company’s own tasks and tools.

ecommerce · DenmarkAt 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.

construction · DenmarkAt 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.

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.
You need to be able to give AI a task and work with the result. We build the setup that makes that possible.
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.
We agree which systems and information AI can use and who in the company gets access.
contextWe configure what AI can carry out directly and which changes or messages need your approval first.
runtimeYou need to see the sources and changes relevant to reviewing the result and correcting errors.
visibilityWe agree who follows up on errors, changing needs and daily use, both in your team and at mondaybrew.
controlYou 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.
We review the tasks, systems and work that takes time or requires technical help. Together, we choose the first deliverable.
You receive a concrete scope: what AI should do, which systems we connect and how we assess whether it works.
We configure the solution and test it on your tasks. We address what is missing with the people who will use it.
You receive training and documentation. We agree who maintains the setup and how it can be expanded.
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 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 mondaybrewWe 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.
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.
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 coverYou speak with Kaan, who also handles the implementation.
