The AIPA-F™ Framework
AI/Agentic Cost Accounting and Portfolio Rationalization Methods - the only purpose-built methodology for governing AI investment value in the enterprise that accelerates modernization.
The only purpose-built methodology for governing AI investment value in the enterprise and accelerating modernization activities in firms.
AIPA-F™ Framework Architecture
Four connected layers turn AI and agentic technology spend into a governed, measurable portfolio discipline.
Layer 1 - Visibility
Layer 2 - Attribution
Layer 3 - Optimization
Layer 4 - Governance
How the framework creates visibility and control
AI Spend Inventory
Catalog every AI cost across cloud compute, API tokens, SaaS AI add-ons, internal platforms, and labor into a single governed view.
Cost Attribution Architecture
Map AI costs to business units, workflows, and value streams, enabling true cost and value visibility for every AI initiative.
Token Agent Economics
Unit and model economics modeling for LLM APIs, agentic workflows, and model and prompt optimization. Know your cost per outcome, not just cost per API call.
AI Investment Prioritization Rubric
Score and rank competing AI initiatives on financial return, strategic alignment and implementation risk. Integrate your approach into existing financial and portfolio analysis tools for a repeatable approach.
Average AI portfolio cost reduction in Year 1 and quantifiable portfolio transformation acceleration