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One warehouse for forty stores
Data EngineeringDetaljhandel

One warehouse for forty stores

Utfordring:
Sales, stock and loyalty data lived in separate systems that never agreed, so head office planned on stale spreadsheets.

Hva vi gjorde:
We built a single streaming warehouse with automated quality tests and a modelled semantic layer feeding every report.

Bransje: Detaljhandel· Varighet: 6 wk· 03 Jul 2026
-72%report latency
1source of truth
A grounded contract assistant
Generative AIJuss

A grounded contract assistant

Utfordring:
Lawyers spent hours searching 12,000 documents, and off-the-shelf AI hallucinated clauses that did not exist.

Hva vi gjorde:
We built a retrieval-grounded assistant that answers only from the document set and cites every source paragraph.

Bransje: Juss· Varighet: 5 wk· 28 Jun 2026
4h→6mper review
100%cited answers
Catching drift before customers
MLOpsFintech

Catching drift before customers

Utfordring:
A credit-risk model had silently decayed for months; nobody noticed until approvals looked wrong.

Hva vi gjorde:
We added drift detection, live performance dashboards, alerting and a controlled automated retraining loop.

Bransje: Fintech· Varighet: 4 wk· 24 Jun 2026
-9dto detect drift
24/7monitoring
Defect detection on the line
Computer VisionProduksjon

Defect detection on the line

Utfordring:
Manual visual inspection was inconsistent and could not keep pace with the production line at peak.

Hva vi gjorde:
We trained a vision model on real line images and deployed it to an edge device for millisecond inference.

Bransje: Produksjon· Varighet: 5 wk· 20 Jun 2026
throughput
edgeon-device
Support triage that routes itself
Agentic AISaaS

Support triage that routes itself

Utfordring:
A rising ticket volume buried the support team, and simple questions waited behind complex ones.

Hva vi gjorde:
We built a bounded agent that classifies, drafts replies and routes only the hard cases to humans, with full logging.

Bransje: SaaS· Varighet: 4 wk· 16 Jun 2026
-55%first response time
humanon hard cases
Reports that finally reconcile
BI & DashboardsHelse

Reports that finally reconcile

Utfordring:
Every department reported different numbers for the same KPI, so leadership meetings argued over data.

Hva vi gjorde:
We built a governed semantic layer with one agreed definition per metric, feeding self-service dashboards.

Bransje: Helse· Varighet: 3 wk· 11 Jun 2026
1definition per KPI
selfservice
A data foundation before the AI
Data StrategyForsikring

A data foundation before the AI

Utfordring:
An insurer wanted AI but had no data catalogue, unclear ownership and looming GDPR questions.

Hva vi gjorde:
We delivered a maturity assessment, a governance framework, a metric dictionary and a prioritised roadmap.

Bransje: Forsikring· Varighet: 4 wk· 06 Jun 2026
4 wkto a clear map
GDPRmapped
AI wired into the CRM
AI IntegrationLogistikk

AI wired into the CRM

Utfordring:
Reps copied data between four systems by hand, losing hours a week and making transcription errors.

Hva vi gjorde:
We connected the systems with event-driven flows and added in-place AI drafting and enrichment.

Bransje: Logistikk· Varighet: 3 wk· 02 Jun 2026
-8hmanual work / rep / wk
0copy-paste
Forecasting demand honestly
Machine LearningEnergi

Forecasting demand honestly

Utfordring:
Demand forecasts were guesswork, leading to costly over- and under-supply across the grid region.

Hva vi gjorde:
We built a forecasting model with explicit uncertainty ranges the planners could actually reason about.

Bransje: Energi· Varighet: 4 wk· 28 May 2026
-31%forecast error
rangesnot points
EU AI Act readiness
AI GovernanceOffentlig sektor

EU AI Act readiness

Utfordring:
A public body used automated decision support but could not classify it or evidence oversight for auditors.

Hva vi gjorde:
We classified each system by risk, produced model cards, tested for bias and designed human oversight points.

Bransje: Offentlig sektor· Varighet: 3 wk· 23 May 2026
Actaligned
auditready
Semantic search for an archive
Generative AIMedia

Semantic search for an archive

Utfordring:
A media archive of decades of content was only searchable by exact keywords, hiding most of its value.

Hva vi gjorde:
We built embeddings-based semantic search so editors find by meaning, with relevance they can trust.

Bransje: Media· Varighet: 2 wk· 19 May 2026
meaningnot keywords
decadessearchable
From nightly batch to real-time
Data EngineeringTelekom

From nightly batch to real-time

Utfordring:
Network event data arrived a day late, so problems were understood only after customers were affected.

Hva vi gjorde:
We moved the pipeline to streaming with change data capture, surfacing events within seconds.

Bransje: Telekom· Varighet: 2 wk· 15 May 2026
overnight→sfreshness
liveevents

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