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We help small and medium-sized businesses put AI to work: document processing, customer service automation and internal AI assistants on your own data. We are engineers who build with AI every day — and we tell you honestly when AI is not the right tool.
Reply within 24 hours — usually same day
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.
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:
Invoices, contracts and receipts are read, categorised and entered automatically, so your finance team stops retyping data by hand.
The most frequent enquiries are answered automatically with responses grounded in your own knowledge — and the rest are routed to the right people.
Employees can ask questions against handbooks, quotes and past cases instead of digging through folders and interrupting colleagues.
AI connects your accounting system, CRM and email, so data no longer has to be moved between systems by hand.
Search, summarisation or recommendations built into your own product, so it becomes more valuable to your customers.
Many AI consultants deliver analyses and recommendations — and stop there. We are engineers: we implement the solutions ourselves, and our own engineering work runs on an internal multi-agent AI system that we built and improve continuously.
An AI-powered documentation platform running in production — we handle model selection, operations and ongoing development ourselves.
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.
When we advise on AI, it is grounded in systems we have built and operate ourselves — not in slide decks. And if AI is not the right tool for your problem, we say so.
The same four-step model we use on every project — fixed quote, weekly demos, no surprises:
We go through your processes and data and point out the tasks where AI can actually pay off — and the ones where it cannot.
You get a fixed quote with scope, price and timeline within 48 hours of the assessment.
You see progress every week on a running solution — with the first delivery typically 2–4 weeks after scoping.
The solution goes into production, and we can take care of operations, monitoring and further development afterwards.
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.
AI documentation platform running in production at DocubotAI.app — built and operated by TwinCurrent.
Read the case studyAI 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.
Read the case studyWe do not publish list prices, because no two AI projects are alike. What actually drives the price is:
How many processes the solution covers in the first version. A sharp first scope is the single biggest lever for keeping the price down.
Where your data lives today, how structured it is, and which systems the solution has to talk to.
Requirements for EU hosting, logging and access control — and how business-critical the solution is.
Our prices typically land 65% below what enterprise agencies charge — 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, SMV:Digital grants can in many cases cover part of the advisory costs. Read our guide to SMV:Digital grants
Get an estimate within 24 hoursThe 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, and our prices are typically 65% below what enterprise agencies charge. For Danish SMEs, SMV:Digital grants can in many cases cover part of the advisory costs.
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. Our average for the first version of a system in production is 18 days.
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.
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.
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.
Tell us about your processes and systems — you get an honest, technical assessment of where AI can pay off, and a fixed quote with scope, price and timeline within 48 hours.
Reply within 24 hours — usually same day