Selected work
Outcomes, not case studies
Anonymised engagements from Nordic enterprise AI deployments. Real constraints, real infrastructure, measurable results.
Manufacturing · Denmark
600K documents, zero cloud dependency
Problem
A 3,500-person Danish manufacturer had document-heavy compliance processes consuming 40% of engineer time on manual retrieval. Critical knowledge was scattered across legacy systems, SharePoint, and shared drives.
Approach
Deployed a private RAG pipeline over 600,000+ internal documents on on-premises infrastructure. Full-text semantic search with no external API calls. Integrated with existing authentication and access controls.
Outcome
Retrieval time went from hours to seconds. Engineers now query the knowledge base in plain language and get sourced answers with document references.
Key metric
40% reduction in time spent on document retrieval
Energy · Nordic
AI that works when the network doesn't
Problem
Offshore teams with intermittent satellite connectivity needed AI assistance for maintenance scheduling and incident reporting, but cloud-dependent APIs were unreliable and created compliance exposure.
Approach
Edge-deployed LLM on local hardware at the asset level. Works fully offline with complete audit trail for regulatory compliance. Synchronises when connectivity is restored.
Outcome
AI-assisted maintenance scheduling and incident reporting available around the clock, regardless of connectivity. Full regulatory audit trail from day one.
Key metric
24/7 AI availability — zero cloud dependency
Enterprise · Nordics
From 3% Copilot adoption to targeted AI workflows
Problem
An enterprise running M365 Copilot at scale had 3% active user adoption. Generic responses, no connection to internal knowledge, and staff who did not trust the output.
Approach
AI strategy audit identified three high-value use cases where AI could deliver measurable impact. Built targeted agents connected to internal data sources instead of relying on generic Copilot capabilities.
Outcome
Shifted from broad Copilot rollout to targeted AI deployment in specific workflows. Higher adoption in fewer, higher-value scenarios.
Key metric
Targeted workflow adoption vs. failed broad rollout
Facing a similar challenge?
Every engagement starts with a conversation — no obligation, no sales pitch.
Book a Sparring Session