FrameWorked
DAEN

Business development, AI and digital solutions.

We help with strategy, online stores, AI training and software. From the first conversation to solutions that work in everyday use.

Let’s talk Explore the dashboard

How we can help.

Commercial understanding and technical expertise. Brought together around what your business needs.

Business development

Identify opportunities for growth, profitability and digital development. Get the insight to make decisions and a clear plan for what comes next.

  • Brand positioning and digital strategy
  • Product and profitability analysis
  • Prioritised action plan

Shopify & digital commerce

Build or improve an online store around the buying experience, business customers and the economics behind it.

  • Performance marketing: Meta, Google and email
  • Shopify development and conversion optimisation
  • Digital foundations: tools, systems and setup

AI training & consulting

Build your team’s AI skills and identify where the technology can help. With practical exercises and realistic recommendations.

  • AI workshops tailored to your business
  • Workflow review
  • Assessment of tools and opportunities

AI, data & software

Turn a specific need into a prototype, integration or working solution. Built around your data and existing systems.

  • AI assistants using your own documents
  • Document workflows and integrations
  • Data visualisation and decision support

See what drives your business.

A shared view of sales, relationships and stock. So making a decision does not mean opening five different systems.

Business overviewSales, relationships and stock
Example data

What is left after the sale?

All channels
RevenueDKK 1,174,000Excl. VAT · January to June
Cost of goods soldDKK 670,000Purchase cost of goods sold
Variable costsDKK 153,000Including shipping, fees and marketing
Net profitDKK 150,540After all costs and tax
Sales and net profitJanuary to June
Revenue and net profit, January to June Monthly amounts in DKK. January: revenue 160,000, net profit 16,380; February: 182,000 and 21,840; March: 174,000 and 20,280; April: 201,000 and 25,740; May: 219,000 and 29,640; June: 238,000 and 36,660. Both series use the same axis from 0 to 250 thousand DKK. 0 50 100 150 200 250 DKK thousands · excl. VAT DKK 160,000 DKK 182,000 DKK 174,000 DKK 201,000 DKK 219,000 DKK 238,000 DKK 16,380 DKK 21,840 DKK 20,280 DKK 25,740 DKK 29,640 DKK 36,660 Jan Feb Mar Apr May Jun
RevenueNet profit

From revenue to net profit

Same period · amounts excl. VAT

RevenueDKK 1,174,000
Cost of goods soldDKK 670,000
Variable costsDKK 153,000
Net profitDKK 150,540
View calculation
RevenueDKK 1,174,000
Cost of goods sold−DKK 670,000
Variable costs−DKK 153,000
Fixed costs including salaries−DKK 140,000
Depreciation−DKK 12,000
Interest−DKK 6,000
Illustrative tax · 22% of positive profit before tax−DKK 42,460
Net profitDKK 150,540

Which relationships need attention?

Open opportunities
Open opportunities41Across four pipeline stages
Proposal sent7Awaiting a response or follow up
In negotiation4Next steps to be agreed
Follow ups this week8Planned activities

Current pipeline

Open opportunities per stage · not conversion rates

New contact18
In conversation12
Proposal sent7
Negotiation4

Next actions

Three of this week’s eight activities

Fictional contact 1Follow up on proposal
Today
Fictional contact 2Arrange the next conversation
Tomorrow
Fictional contact 3Send relevant information
This week

What needs reordering, and when?

Three products
Products in overview3Product range
Below reorder point2Product B and product C
Safety buffer7 daysLead time + buffer
Purchasing priorityC → BBoth need a decision

Stock coverage

Available stock / expected daily sales

ProductStockCoverageStatus
Product AFictional product name
240 units30 daysCovered
Product BFictional product name
75 units15 daysReorder
Product CFictional product name
30 units10 daysReorder

A purchasing suggestion for review

Suggestions for review

Product B180 units
Product C111 units

Suggested quantity covers 30 days of sales, lead time and a buffer, minus current stock.

Awaiting review
View assumptions
Product A8 units/day · 14 day lead time
Product B5 units/day · 14 day lead time
Product C3 units/day · 10 day lead time

Reorder when coverage falls below lead time plus a 7 day buffer.

Look beyond revenue.

Compare sales and costs to understand which products and channels contribute to your business.

Make the next step clear.

Bring CRM, business outreach and follow ups together in one overview that makes it easier to act.

Prioritise before stock runs out.

Connect stock and sales to purchasing suggestions. Spend less time gathering information and keep decisions in your hands.

This dashboard uses fictional data to illustrate what a solution tailored to your business could look like.

From idea to implementation.

We review workflows and data, define the scope and choose a realistic solution. For example, an AI assistant, a document workflow or an integration with your existing systems.

  1. Discovery

    Needs, available data and technical feasibility.

  2. Development

    A focused prototype or solution with the relevant integrations.

  3. Implementation

    Adoption, oversight and follow up in daily operations.

Pernille Matthews presenting AI to a group of participants

AI in your everyday work.

Practical workshops covering AI, prompting and working with documents. Adapted to your team’s tasks and your business needs.

Advice on relevant applications, choosing tools and the next steps towards implementation.

Discuss a workshop

Let’s talk about what you need.

Tell us about the task or challenge you want to solve. We will have an initial conversation about the possibilities, scope and next steps.

Email us
Portrait of Nicolai Dahl

Nicolai Dahl

Business development & digital commerce

Nicolai holds an MSc in Economics and Business Administration from Aarhus BSS. He works with business development, digital strategy, product economics, Shopify and B2B. His focus is connecting commercial goals, digital solutions and daily operations.

[email protected]LinkedIn
Portrait of Pernille Matthews

Pernille Matthews

AI training, consulting & development

Pernille holds a PhD in Computer Science from Aarhus University, specialising in explainable AI. She works with training, consulting and development, from reviewing workflows and identifying needs to building AI assistants, document solutions and integrations.

[email protected]LinkedIn

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