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Picture the scene, three years from now. A tax auditor sits across the table, points at the interest rate in your intercompany loan documentation, and asks: “Where does this number come from?”
In 2026, the honest answer at more and more firms includes the words “an AI prepared the analysis.” That answer is fine. Auditors assess documentation on its content, not on who typed it. The follow-up question is the one that decides the audit: can you show the path from raw market data to that rate, step by step?
If yes, the AI saved you weeks. If no, you are defending text that sounds right and proves nothing.
The shift is real and it is fast. AI agents today read loan agreements, screen comparables, run rating analyses, and draft benchmarking studies. Transfer pricing was made for this: the judgment sits in a few key decisions, while the hours sit in gathering data, running screens, and writing everything up. Agents take over the hours. Professionals keep the decisions.
The tools are here too. Supernomial, an AI-native platform for transfer pricing teams, lets professionals direct agent teams that prepare local files and financial transactions studies end to end.
Which brings the data question to center stage. An agent works at the speed of software, and it will happily work at that speed on bad data. The quality gate has to sit underneath the AI, in the database itself.
We call our standard accountable data, and it rests on three commitments we have engineered into the platform since 2017:
For a decade, auditors, tax advisors, and CFOs have used this foundation to source margin benchmarks, credit spreads, and arm’s-length interest rates. The AI era does not retire that foundation. It multiplies its value, because now the data feeds agents as well as analysts, and the traceability travels with every study the agents produce.
The clearest signal that accountable data and AI belong together: Supernomial chose smartZebra as data partner for its agentic transfer pricing workflows.
In the first joint solution, Supernomial’s AI agents prepare complete financial transactions studies on smartZebra data. Take an intercompany loan: the agents assess the borrower’s debt capacity, derive a credit rating from quantitative and qualitative factors, apply notching for implicit group support, screen the bond universe by sector, country, and currency, and document an arm’s-length interest rate. One workflow, end to end, and each figure inherits the smartZebra calculation log.
Your team defines the playbook once, reuses it for each loan, and spends its time where it belongs: challenging inputs and signing off on ranges.
smartZebra GmbH is the database for business valuation and transfer pricing. Founded in 2017 and based in Germany, smartZebra consolidates every capital market parameter that valuation and transfer pricing work requires: beta factors, valuation multiples, risk-free rates, credit spreads, and margin benchmarks. The data covers more than 50,000 listed companies across 100+ capital markets and over 100,000 corporate bonds, with day-precise history back to 2010 and daily updates. Every output ships with a calculation log that traces the result to its raw data, and exports are audit-ready (XLSX, CSV, PDF). Audit and tax firms, corporates such as E.ON and Deutsche Bahn, fund administrators, and tax authorities work with smartZebra under IDW S 1, IFRS, and the OECD Transfer Pricing Guidelines. A free 5-day trial with full platform access is available at http://www.smart-zebra.com.
Supernomial provides managed AI agents for transfer pricing consultancies and in-house tax teams. Professionals direct their agent teams inside whichever enterprise AI system they already use, from Claude Cowork to ChatGPT Work to Microsoft Copilot Cowork. The agents prepare transfer pricing deliverables, from local files to financialtransaction studies. Every agent team runs on the customer's own methods and institutional knowledge, and that knowledge stays theirs. Learn more at http://www.supernomial.co.
Last updated: August 4, 2026
Three properties: primary sources (exchanges, audited statements, central banks), a documented calculation path from raw data to each result, and an independent provider with no stake in the outcome. smartZebra ships all three with every output.
With the support of professional expertise, AI can already streamline and accelerate substantial parts of the transfer pricing documentation process — from data analysis and benchmarking to drafting and documentation. The key is combining AI capabilities with audit-ready, traceable data and professional oversight, ensuring that the final analysis is robust, defensible, and owned by an experienced transfer pricing professional.
Supernomial specializes in AI-native workflows that help transfer pricing professionals delegate complex research and documentation tasks to AI agents — from borrower analysis and credit rating to benchmarking and documentation — while keeping professionals in control of methodology and final judgment.
A joint solution in which smartZebra’s database alongside Supernomial’s AI agents prepare complete financial transactions studies (debt capacity, credit rating, notching, bond screening, arm’s-length interest rates), end to end.
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