AI builds cost models fast. Proving they are right is the work.
We use 25 years of TDABC experience to build cost and profitability models with AI, and to check, independently, that the result holds up. So you can act on the numbers, not just admire how fast they arrived.
Request a Trust Score Talk to usSpending on AI is easy. Proving it was worth it is not.
Global AI spending passes two trillion dollars in 2026, and most finance teams cannot yet show audit evidence for the AI they already run (KPMG, 2026). For cost and profitability work that gap has a price: decisions made on numbers nobody has checked.
The AI Profitability Trust Framework™, in five steps.
Where AI adds real value to your costs and margins
We separate what creates value from what is noise, and show where AI improves costing, pricing and cost-to-serve. You get an opportunity roadmap ranked by return.
Data, governance and a plan that survives audit
We assess data readiness, define governance and design the plan, already aligned with the EU AI Act. You get a readiness assessment and a governance matrix.
The TDABC model built with AI, in days
SAF-T and ERP ingestion, cost-pool classification, time equations and Whale Curve, with our CostCtrl platform and expert validation. You get a working profitability model in days.
Independent validation that the model is trustworthyOur difference
We assess any AI-built model, ours or a third party's, across seven dimensions, and issue a certified Trust Score. You get a trust report that stands up to the committee and the regulator.
Continuous audit and EU AI Act compliance
Continuous monitoring, drift detection, audit trails and EU AI Act compliance documentation. You get ongoing assurance and auditable evidence for regulators and boards.
The only firm that brings all four together.
Independent
We validate models, including ones we did not build. We have no tool to sell you.
Deep in TDABC
25 years, more than 150 engagements, more than 30 countries. We know what a correct model looks like, so we see what AI gets wrong.
Built for the mid-market
For companies with EUR 5M to 500M in revenue, not just big banks.
Tied to return
Every model connects to a concrete margin decision, not an abstract number.