Enterprise AI systems · advisory · Gothenburg

AI systems companies can trust in production.

I help companies design, review and ship AI workflows for content, SEO, e-commerce and internal operations.

Request scopingRequest demo

Scoping is free. Pilot or advisory work is agreed in writing before keys or integrations are opened.

Two ways to start

Build the system or review the architecture first

Enterprise AI systems

For companies that want a secure production workflow connected to content, SEO, e-commerce or internal operations.

  • One workflow scoped before integration
  • Private keys and review gates from day one
  • Build, handover and expansion plan

Advisory and architecture review

For teams with AI tools, vendors or prototypes that need a cleaner operating model before scaling.

  • Use-case selection and risk review
  • Auth, data and human approval design
  • Roadmap your team can execute

Operator proof

Built from live operations, not AI slides.

The same patterns run across my companies, this website and private content and operations workflows.

What the first engagement should prove

Make one useful AI workflow work before scaling.

Enterprise AI gets expensive when teams automate before they know which workflow matters. Start narrow, prove the boundary, then expand what survives review.

One workflow with clear input, business value and measurable output.

Customer and product data connected through narrow keys, approved APIs and review gates.

Workflow, boundaries, documentation and a next-step decision.

Technical reference

This site is the technical reference.

This domain uses machine-readable discovery, public read-only MCP, owner tools behind auth and a draft-first multi-agent content pipeline.

Technical reference

The boundary matters more than the acronym.

Discovery can be public when it only describes resources. Writing, publishing, expensive AI jobs and customer data stay behind private access.

Public discovery is read-only.

Pilot keys get only the needed access.

Publishing and expensive AI jobs require private auth.

Humans review business-critical changes.

FAQ

Questions before a pilot.

Is any write access public?

No. Public discovery is read-only. Any creation, update, publishing or AI spend requires private auth.

What is a good first pilot?

A content, SEO, e-commerce or internal operations workflow with clear input, useful output and a review point.

Can a technical team review it?

Yes. Auth, MCP separation, data flows and human approvals can be reviewed before start.

Discuss a system or advisory sprint?

Send the workflow, bottleneck or architecture question. I will help decide whether this should be a pilot, advisory work or something to leave alone.

Start scoping