AI ECONOMICS
Reduce the cost of your AI system.
Oliver Palnau & teamPalnau SystemsDiscuss with Oliver and his team 
Measure the cost of a correct, completed task. Include retries, tool failures and human corrections—not just model prices.
Measure cost per task
Track model calls, tool failures, review time and completed work. Compare costs at the same quality level.
Match the model to the job
Test smaller models on routine extraction and sorting. Route harder cases to stronger models or people. Keep a tested fallback.
Avoid repeated processing
Use prompt caching where supported. Keep shared instructions consistent and measure the actual saving. New output still has a cost.
Batch work that can wait
Group offline document tasks when immediate answers are unnecessary. Keep urgent customer work separate. Check provider support and data requirements.
Keep quality and cost visible
Set budgets and alerts. Retest when workflows or models change. We build routing, monitoring and quality checks around your business tasks.
Make it specific to your business.
Bring one workflow. We’ll discuss where AI could help and what needs to be validated.
Discuss your AI operating costs