Line drawing of a financial district skyline and bridge with capital flows across the river

Thought leadership

AI in
Corporate
Treasury

What changes when AI moves from assisting Treasury to participating in financial decisions?

AI is becoming more capable. The harder question for Finance leaders is no longer what the technology can do — but what Treasury should allow it to do, how value can be proven, and who remains accountable.

The central thesis

AI in Treasury is no IT decision.

As AI systems move from producing information to recommending, preparing and potentially executing actions, the question changes. Treasury is not simply adopting another technology. It is deciding how much authority to delegate — over capital, liquidity and risk.

The Authority Ladder

Level 01

Inform

What it means
The system summarises, extracts or analyses. Every judgment and every action remains with people.
Example Treasury use case
Summarising bank statements and flagging unusual cash movements for review.
Principal control question
Is the information accurate, complete and traceable to source?
CFO / Treasurer implication
Low authority risk. The main question is whether the insight changes anything.

Examples are illustrative, not reported cases.

The key governance variable is not only model accuracy. It is authority.

Treasury AI Opportunity Atlas

42 reference opportunities for Corporate Treasury

A reference taxonomy — not a ranking, and not a claim that every opportunity is a proven production case. Each entry states its evidence level honestly.

Reported case evidenceAdjacent-domain evidenceExternal guidanceNo published outcome evidence

Showing 42 of 42 opportunities ·

Frameworks for Finance leaders

Practical tools for CFOs and Treasurers

The Authority Ladder

The key governance variable is not only model accuracy. It is authority.

The Treasury AI Brief

Latest thinking

CFO perspective, Treasury strategy, use cases, proof & ROI, governance, data and the future of the Treasurer.

Governance & Authority

Who Owns an AI Decision When Nobody Changed the Approval?

How authority can migrate quietly from human judgment to machine action.

Sigrid Seibold10 Sept 20261 min readCh. 9 — Governance, Autonomy and Proving the Return

CFO Perspective

Your AI Pilot Worked. So What?

Why technical success, user adoption and economic value need to be measured separately.

Sigrid Seibold8 Sept 20261 min readCh. 2 — High Conviction, Unproven Returns

Treasury Strategy

The Treasury AI Roadmap Should Not Start With the Technology

Start with the decision, the pain point, the value mechanism and the evidence you need.

Sigrid Seibold6 Sept 20261 min readCh. 5 — Getting to a Roadmap

Governance & Authority

Human in the Loop Is Not a Governance Strategy

Why human involvement alone does not tell you where accountability actually sits.

Sigrid Seibold4 Sept 20261 min readCh. 9 — Governance, Autonomy and Proving the Return

Treasury Strategy

Build, Buy or Partner?

A practical framework for deciding where Treasury should develop proprietary capability and where it should use the market.

Sigrid Seibold3 Sept 20261 min readCh. 7 — Build, Buy or Partner

The Future of the Treasurer

The New Treasury Operating Model

AI may remove tasks, compress work, shift responsibilities and create new review obligations. The job does not simply disappear.

Sigrid Seibold2 Sept 20261 min readCh. 10 — The Changing Role of the Treasurer

CFO Perspective

What Should AI Never Be Allowed to Do in Treasury?

A boardroom discussion about authority, risk appetite and accountability.

Sigrid Seibold1 Sept 20261 min readCh. 1 — Why This Is a CFO Decision Now
The book Proof, Not Promises — Artificial Intelligence in Corporate Treasury, by Sigrid Seibold and Dr. Isabell Claus

The book behind the thinking

Proof, not promises

Artificial Intelligence in Corporate Treasury

Sigrid Seibold  |  Dr. Isabell Claus

A practical framework for CFOs and Treasurers navigating the move from AI experimentation to measurable value, governed authority and redesigned Treasury work.

The book grades its sources — independent evidence, reported cases, adjacent-domain evidence, external guidance and constructed scenarios — so readers know exactly what is proven and what is argued.

  • Why This Is a CFO Decision Now, Not an IT One
  • High Conviction, Unproven Returns

Printed and digital copies are free of charge. Simply send us an email and we will get your copy to you.

If your email program does not open, write to isabell.claus@thinkers.ai.

About

The authors

Sigrid Seibold

Sigrid Seibold

AI, Finance and the future of Corporate Treasury

Sigrid combines banking leadership, AI implementation experience and strategic transformation work to explore what AI means for Finance and Treasury in practice.

  • Leads Transaction Services at ING Bank, Wholesale Banking Germany
  • Wholesale Banking AI Ambassador
  • Built a roadmap of 180+ AI use cases across departments
  • Shipped 20+ AI agents into live production within eight months
  • Experience in capital markets and digital transformation
  • Previously at McKinsey, PwC and Accenture
  • Worked with leading investment banks
  • Track record in technology and financial-services thought leadership
Dr. Isabell Claus

Dr. Isabell Claus

Technology entrepreneur and AI innovation leader

Isabell applies artificial intelligence to make digital knowledge more accessible and to transform how organisations create, distribute and use information. She is Managing Director of xchannels.ai and thinkers.ai.

  • Managing Director of xchannels.ai and thinkers.ai
  • Doctorate with a focus on strategic finance
  • Studied at WU Vienna and the London School of Economics
  • Europe State Prize, awarded by the Austrian Federal Chancellery
  • Top Innovator (SHEconomy) and Austrian Entrepreneur of the Year
  • Formerly leadership team at RadarCyberSecurity — recognised by the Financial Times and Deloitte in five consecutive years
  • University lecturer and author of publications on AI and cybersecurity
  • Adviser to organisations navigating digital transformation

Sigrid and Isabell write in a personal capacity. The book and this site do not represent the official views of their employers.

Executive self-assessment

How AI-ready is your Treasury?

Seven questions. A neutral maturity profile. No scoring, no league table.

  1. Strategy

    Do you have a defined Treasury AI agenda?

  2. Economics

    Can you quantify the value of your current AI initiatives?

  3. Data

    Can Treasury reliably access the data required for priority use cases?

  4. Governance

    Does each material AI-enabled process have explicit authority limits?

  5. Operating Model

    Do you know which tasks will disappear, change, shift or be created?

  6. Accountability

    Is there a named owner for each material AI-enabled outcome?

  7. Evidence

    Do your initiatives have a baseline and predefined proof point?

Your maturity profile

Answer all seven questions to see where your Treasury sits — and what to investigate next. Answers stay in your browser.

Conversations

Small rooms. Serious questions.

Executive roundtable

AI in Treasury: Beyond the Pilot

An executive conversation about value, authority and the operating model.

Request an invitation
  • Executive roundtables
  • CFO briefings
  • Treasury leadership dinners
  • Webinars
  • Conference talks
  • Podcasts & interviews