AI Consultant in Gothenburg
Independent AI consultant for Swedish small and mid-sized businesses. I help you move from AI experiments to production-grade systems with measurable ROI — not more PowerPoint decks.
Gothenburg is where VasthavM started and where I live. It's also Sweden's second-largest tech region — Lindholmen Science Park is home to AI Sweden (the national applied-AI center), the Volvo Cars and Volvo Group AI teams, RISE, and Chalmers AI research. For an SMB in Gothenburg, that means a deep talent pool — but most senior AI engineers are locked up inside large enterprises. That's the gap I fill: senior delivery, at a pace and price point that works for an organization with 5–250 employees. I take meetings in person across Greater Gothenburg — Centrum, Hisingen, Mölndal, Partille — and I work equally well remote if you prefer that. Common client types in the region: e-commerce around Lindholmen and Marieholm, B2B services in Lindholmen, manufacturing north toward Trollhättan, and accounting / consulting firms that want to modernize their back-office. As the AI Sweden initiative has grown, smaller Gothenburg companies have become readier to buy AI projects — demand for an independent partner who isn't selling a platform has never been higher.
Your team built a GPT prototype that impressed leadership but never made it to production. Common cause: no clear measurement plan, no production environment, scope too broad. Fix: cut scope to a measurable task, build evals first, then solve.
Sales lives in HubSpot, support in Zendesk, finance in Fortnox, planning in Notion. Data is moved between them by hand. n8n or Make orchestrates the data flow — and an LLM makes the call where rules aren't enough.
Your company has 12 years of collective know-how scattered across email, Confluence, Slack, and the heads of two senior staff. A RAG implementation makes it searchable with source citations — without leaking data to vendors that don't meet GDPR.
Routine decisions (which customer, which quote, what level of support) happen manually and pull senior staff out of higher-leverage work. An agentic AI with clear escalation rules takes 80% of the calls in seconds and flags the rest.
We walk through your processes, systems, and data. I identify 2–3 areas with the highest ROI for automation or AI. Output: prioritized roadmap, build-vs-buy guidance, GDPR / EU AI Act notes. Fixed price.
We build the top-ranked solution together. I write the code, you test. Existing platforms first (n8n, Make, OpenAI, Claude); custom code only where it earns its keep. Weekly checkpoints.
The solution rolls out, docs are written, your team is trained. Self-hosted runtime means you own the system — no vendor lock-in. Optional retainer for continuous improvement.
Both. For Gothenburg-based clients, I offer in-person meetings at your office or in Lindholmen / Centrum as needed. Delivery quality is the same either way — process-mapping workshops go faster in person, but actual build work is equally productive remote. I'm based in Centrum.
My services: AI Readiness Assessment fixed price 25,000–60,000 SEK depending on scope. Workflow projects 50,000–150,000 SEK. Larger programs 200,000–500,000 SEK. Retainer typically 20–40 hours per month. I bill with caps — no open accounts that drift.
I'm one person. That means you get a senior delivery every time, no juniors on the invoice, fast decisions. Trade-off: I can't run five large projects in parallel. That constraint is deliberate. If you need 50 consultants from a pool, you should call someone else.
No. The default is to pick the LLM by use case and data sensitivity. For GDPR-critical data: Azure OpenAI with EU residency, Anthropic Claude on AWS Bedrock in the EU, or fully local Ollama on your own hardware. Model choice is configuration, not lock-in.
6+ years of data work for Swedish companies before founding VasthavM in 2022 — including IKEA, Spotify, Husqvarna, Resurs Bank, and Stena Line via Conversionista, Twoday, and Outfox Intelligence (Dentsu Aegis). The practice since then has focused on SMBs in Sweden and the EU.
Yes. Workflow runtimes run on EU servers (default: Stockholm or Frankfurt). LLM calls go through providers with EU residency options. EU AI Act classification is part of the readiness assessment — we know which systems qualify as high-risk before we build them.
Existing platforms first. n8n, Make, Power Automate, OpenAI, Claude — these solve 80% of cases faster and cheaper than custom code. Custom code goes in where the platforms leak: auth, evals, domain logic, RAG quality.
A typical first workflow is in production within 2–4 weeks of contract start. For larger programs (assessment + build + handover): 2–4 months. ROI examples: an e-commerce client went from 25 hours/week of manual work to 4 hours/week in 6 weeks. Another reduced support response time from 6 hours to 22 minutes in 8 weeks.
Book a free 30-minute call where we walk through where you stand, what's realistic, and what the next concrete step is. No sales scripts.
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