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Case studies

Three illustrative scenarios showing how the LexiCo platform can reduce AI costs and provide control over data flow. The numbers below are modelled estimates based on our methodology.

Illustrative scenarios These examples are modelled, not actual customer stories. Names, numbers and situations are constructed to illustrate typical usage patterns. See /benchmarks for the methodology behind the calculations.

Scenario 1: financial company

Bank or insurance company with data residency requirements in Norway/EEA

Challenge

A mid-sized financial company wants to use AI to classify customer inquiries and generate draft responses. The Financial Supervisory Authority and internal compliance require that customer data does not leave the EEA, and that all AI usage is logged and auditable.

LexiCo solution

  • LexiSaaS proxy routed through European data center with full audit log
  • STONE compression on history and policy documents in the system prompt
  • Per-user API keys with quota and role-based access for audit review
  • Automatic PII masking before the request is sent to the model

Modelled result

~60 %
reduced token consumption
100 %
data in EEA, full audit
~3 mnd
time to production

Based on a reference case with 500,000 requests per month and mixed prompt patterns.

Scenario 2: public agency

Municipality or state directorate under GDPR and archive legislation

Challenge

A public agency wants to use generative AI for case processing support and automatic summaries of long documents. GDPR, freedom-of-information law and archival requirements mean they must have full traceability and the right to inspect what has been sent to the AI model.

LexiCo solution

  • Hosted proxy with 14-day request log for inspection and complaint handling
  • STONE compression for long case files — keeps context below model limits
  • DPA (data processing agreement) based on the SSB template
  • Role- and department-based access control with detailed audit history

Modelled result

~70 %
less time on routine cases
GDPR
auditable AI usage
0
data out of Norway

Time savings based on case worker self-reporting in similar projects.

Scenario 3: consulting firm

Law, audit or technology consulting with high AI use per employee

Challenge

A consulting firm with 120 employees uses ChatGPT, Claude and Gemini interchangeably. No one has an overview of costs or which clients are using what. Some employees pay themselves; others on company cards. Management wants everything consolidated under one managed entry point without slowing down productivity.

LexiCo solution

  • One proxy key per employee with cost tracking at the client level
  • STONE compression on contract reviews and long document analyses
  • Free model choice behind the same API — no vendor lock-in for the team
  • Monthly billing with per-client/project cost that can be passed through

Modelled result

~50 %
lower total AI cost
1
invoice instead of 5+
100 %
cost per client traceable

Cost reduction assumes that ~60% of requests are suitable for STONE compression.

Your scenario not quite a fit?

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