AI-økonomi og FinOps
Token-kost, caching, routing og hvordan forsvare et AI-budsjett.
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Phase 02
October 2026
Discover
Discover is where a good consultant is made — long before any code is written. You learn to find the right problem, put numbers on it, classify its risk, and lead the client from vague ambition to clear scope. Without this phase, you build the wrong solution the right way.
Learning objectives
- Diagnose an AI problem at a client with structure
- Build business case and ROI model for an AI initiative
- Classify risk under the EU AI Act
- Lead client conversations from problem to scope
Core topics
- 01AI economics and FinOps: token cost, caching, routing
- 02Business case modelling for AI delivery
- 03EU AI Act risk classification (minimal / limited / high / unacceptable)
- 04Client conversation and problem framing
- 05Scoping and 'good enough' as a discipline
Technologies and frameworks
- Token calculators and cost dashboards
- EU AI Act risk assessment templates
- Miro · Figjam for diagnostic workshops
- Notion · Obsidian for structured case work
Sessions in this phase
- Masterclass on AI economics and FinOps
- Lab weekend (Q1): 'build a business case'
- Dojo on client diagnosis
- Frontier Friday
Artefacts Ignitere deliver
- 01Business case for an AI initiative from real client work
- 02Risk classification document under the EU AI Act
- 03Client conversation script and reflection after delivery
Courses in this phase
Shared coursesAll Ignitere
Business case for AI-initiativ
Bygg en ROI-modell som tåler møtet med kundens CFO.
EU AI Act-risikoklassifisering
Klassifiser et system i riktig kategori og dokumenter hvorfor.
Track courses · Ignite Shaper
AI-readiness assessment-metodikk
Kartlegg om kunden faktisk er klar — eller bare snakker om AI.
EU AI Act i praksis: DPIA og dokumentasjon
Produsér dokumentasjonspakken før tilsynet banker på.
Cross-cutting threads
- AI economics and FinOps
- EU AI Act practice
- Consultant craft