AI consultant for SMEs in Denmark: from idea to working AI at a fixed price

What does an AI consultant do, and when does it make sense?

An AI consultant helps your business find the tasks where AI actually creates value, and then builds the solution: integration with your systems, model selection, data foundation and operations. It makes sense when you have repetitive work involving documents, enquiries or data that is handled manually today. It does not make sense as technology for its own sake, sometimes plain automation is the right answer. At TwinCurrent we start with a no-obligation AI potential assessment, and you are typically up and running within 2-4 weeks.

What can AI actually do for an SME?

The best AI projects start with a concrete business problem, not with the technology. These are five tasks where we typically see AI create measurable value in small and medium-sized businesses:

• 01

  Intelligent document processing

  Invoices, contracts and receipts are read, categorised and entered automatically, so your finance team stops retyping data by hand.

• 02

  Customer service automation

  The most frequent enquiries are answered automatically with responses grounded in your own knowledge, and the rest are routed to the right people.

• 03

  Internal AI assistants on your own data

  Employees can ask questions against handbooks, quotes and past cases instead of digging through folders and interrupting colleagues.

• 04

  Automated workflows between systems

  AI connects your accounting system, CRM and email, so data no longer has to be moved between systems by hand.

• 05

  AI features in your existing product

  Search, summarisation or recommendations built into your own product, so it becomes more valuable to your customers.

We build with AI ourselves, every day

Many AI consultants deliver analyses and recommendations and stop there. We build: we implement the solutions ourselves, and our own engineering work runs on an internal multi-agent AI system that we built and improve continuously.

• docubotai.app

  

  In beta

  DocubotAI.app

  An AI-powered documentation platform in beta. We handle model selection, operations and ongoing development ourselves.

  • Next.js
  • TypeScript
  • Supabase
  • Google Gemini

• 

  Proof of concept

  Familieværn

  An AI proof-of-concept built by us at RoyalHacks 2026: an intelligent call-screening system designed to protect elderly people from phone scams, with speech recognition, real-time analysis and decision support in one system.

  • Rust / Axum
  • Sinch
  • ElevenLabs
  • Gemini Flash
  • Next.js
  • SSE

When we advise on AI, it is grounded in systems we have built ourselves, not in slide decks. And if AI is not the right tool for your problem, we say so.

How we work

The same four-step model we use on every project, fixed quote, weekly demos, no surprises:

1. AI potential assessment: no obligation, and technical

   We go through your processes and data and point out the tasks where AI can actually pay off, and the ones where it cannot.

2. Fixed quote within 48 hours

   You get a fixed quote with scope, price and timeline within 48 hours of the assessment.

3. Build with weekly demos

   You see progress every week on a running solution, with the first delivery typically 2-4 weeks after scoping.

4. Delivery + operations

   The solution goes into production, and we can take care of operations, monitoring and further development afterwards.

GDPR and EU hosting, AI on your data’s terms

• AI solutions can be built with EU-hosted models, so your data does not leave the EU. We configure solutions so your data is not used to train public models, and we design the data foundation with data minimisation in mind: only the data the task requires is sent to the model.

• We document which data is sent where, which models are used, and where they are hosted, the technical foundation for your data processing agreements and risk assessments. We do not claim certifications; we build so that your compliance work rests on facts.

Numbers you can check

• You get a fixed, written quote within 48 hours of the AI potential assessment.

• Along the way you see working software at weekly demos.

• You talk directly to the person who builds your solution.

• TwinCurrent has received a Mikrolegat grant from Fonden for Entreprenørskab (the Danish Foundation for Entrepreneurship).

AI systems we have built ourselves

• docubotai.app

  

  In beta

  DocubotAI

  AI documentation platform in beta at DocubotAI.app, built and operated by TwinCurrent.

  • Next.js
  • TypeScript
  • Supabase
  • Google Gemini

• 

  Proof of concept

  Familieværn

  AI proof-of-concept from RoyalHacks 2026: a call screener designed to protect elderly people from phone scams, with speech recognition, real-time analysis and decision support.

  • Rust / Axum
  • Sinch
  • ElevenLabs
  • Gemini Flash
  • Next.js
  • SSE

What affects the price?

We do not publish list prices, because no two AI projects are alike. What actually drives the price is:

• 01

  Scope

  How many processes the solution covers in the first version. A sharp first scope is the single biggest lever for keeping the price down.

• 02

  Data and integrations

  Where your data lives today, how structured it is, and which systems the solution has to talk to.

• 03

  Operations and compliance requirements

  Requirements for EU hosting, logging and access control, and how business-critical the solution is.

You get an estimate within 24 hours, and a fixed written quote within 48 hours of the AI potential assessment.

If you are a Danish SME, it is worth knowing the SMV:Digital programme and its rules before you start.Read our guide to SMV:Digital grants

Get an estimate within 24 hours

Frequently asked questions about AI consulting

• What does an AI consultant cost?

  The price depends on three things: scope (how many processes the solution covers in the first version), data and integrations (where your data lives and which systems the solution has to talk to) and operations and compliance requirements (EU hosting, logging, access control). We do not publish list prices, but you get a fixed quote within 48 hours of an AI potential assessment.

• How quickly can we get started?

  Typically 2-4 weeks from scoping to first delivery. We start with a no-obligation AI potential assessment, give you a fixed quote within 48 hours, and then build with weekly demos.

• Do we need to have our own data ready first?

  No. Part of our job is precisely to assess which data you have, where it lives, and what it takes to make it usable. Many AI projects can start with the data already sitting in your email, documents and systems, and the data foundation improves step by step along the way. Perfect data is not a prerequisite for getting started.

• How do you handle GDPR in AI projects?

  AI solutions can be built with EU-hosted models, so your data does not leave the EU, and we configure solutions so your data is not used to train public models. We document which data is sent where and which models are used, the technical foundation for your data processing agreements. We do not claim certifications; we build so that your compliance work rests on facts.

• What if AI is not the right fit for our problem?

  Then we say so. Some tasks are solved better, and cheaper, with plain automation, integrations or a better data model. That is exactly what the AI potential assessment is for: we point out where AI can pay off, and where a simpler tool is the right answer. We would rather deliver a solution that works than sell you an AI project.