Intelligent Finance
Financial leadership and decision-making with artificial intelligence
Make clearer decisions.
Assess risks more soundly.
Interpret key figures more precisely.
Reshape financial leadership. Combine expert judgment and data-driven intelligence with confidence.
AI is changing the reality of finance
Generative models, Predictive Analytics and intelligent analysis tools are changing how decision-makers read balance sheets, interpret key figures, appraise investments and manage liquidity.
Rising complexity, faster decision cycles
Anyone who bases financial leadership on experience and conventional ratio analysis alone loses speed, precision and impact in data-driven markets.
The St. Gallen approach to financial leadership in digital transformation
Connecting financial management, data and AI systematically – practical, responsible and effective.
Linking financial leadership and artificial intelligence systematically
The seminar shows how decision-makers use artificial intelligence as an integral part of their financial leadership – to make decisions with greater clarity, master financial complexity and spot opportunities early.
Building on the St. Gallen understanding of integrated leadership, expertise in balance sheets, costs, investments and cash flow is systematically aligned with Decision Intelligence, data literacy and personal financial routines, and connected to strategy, risk management and digital transformation.
One focus is the practical use of new analysis tools – for forecasts, investment decisions, early warning systems and reporting, for example. They serve as instruments for greater clarity, speed and quality in financial leadership.
Through methods, case studies and transfer work, participants develop their personal Financial Decision Playbook – a practical instrument for turning fragmented finance initiatives into a coherent leadership practice that builds trust and supports entrepreneurial success.
For leaders who want to take their financial leadership further
The seminar is designed for managers and emerging leaders, project leaders and specialists from finance, controlling, executive management, strategy, operations and other finance-related functions.
It is aimed at people who want to make their financial decision-making and leadership fit for the future – strategically grounded and ready to apply.
From financial decisions to transfer into practice
Modules that build on one another combine financial management, Decision Intelligence and hands-on AI application. Click a module to see its focus areas.
Financial management rethought with AI
You learn how AI-based models become part of your daily financial work – as a sparring partner, an analysis tool and an assistant. Conventional financial thinking is combined with data-based methods to free up time for the financial decisions that really matter. The aim: rethink financial leadership and decide more effectively.
Focus areas- Understand the role and impact of AI in financial leadership
- Use AI as a sparring partner, analysis tool and assistant in finance
- Combine experience and expertise with data
- Redesign decision architectures for complex financial questions
- Apply tools for fast, robust financial decisions in management
- Clarify responsibility and transparency when using new analysis methods
- Avoid misreading financial data
- Win back time for strategic financial work
Decision Intelligence – faster clarity and better quality in financial decisions
Data-based methods change how you process financial information, weigh options and reach decisions. The seminar shows how to raise the quality, speed and consistency of your financial decisions measurably – without compromising rigor.
Focus areas- Understand data-based systems and integrate them into financial decision processes
- Use Predictive Analytics and scenarios to spot developments earlier
- Apply simulations to risk, liquidity and investment decisions
- Separate relevant metrics from irrelevant – focus on what matters
- Ensure quality and consistency in financial decisions
- Increase speed and accuracy in decision-making rounds
- Delegate to AI-based analysis tools sensibly and keep control
- Safeguard decision quality through structured reflection
Strategy & AI in financial management
You combine strategic financial thinking with AI-based methods. The focus: how AI supports investment decisions, capital allocation and financial scenarios for the future, and where financial leadership remains irreplaceable.
Focus areas- Develop future scenarios for the balance sheet, liquidity and capital structure with AI
- Evaluate and validate strategic investment options with data
- Underpin investment decisions with analyses and simulations
- Optimize cost, budget and value creation management
- Identify efficiency and productivity potential automatically
- Build early warning systems and strategic finance dashboards
- Secure a competitive edge through smart AI applications in finance
- Connect financial processes with new capabilities across the organization
- Measure the impact of strategic initiatives with suitable KPIs
Managing your day-to-day financial work effectively
New tools are changing routines, reporting and the logic of delegation in finance. You learn to use them deliberately for analysis, planning, reporting and prioritization – without giving up your role as a financial leader.
Focus areas- Approach analysis, planning and the preparation of financial decisions in a structured way
- Make your own working routines more efficient
- Prepare and sharpen reporting, forecasts and presentations with AI
- Delegate tasks sensibly – and keep your leadership presence where it is irreplaceable
- Find the balance between experience and data-based support
- Reduce information overload in reporting and controlling, sharpen focus
- Use AI for budget planning, forecasting and stakeholder reporting
- Keep developing your personal routines in day-to-day financial work
Communication and leadership impact in financial management
Effective financial leadership depends on clear communication. The module covers stakeholder communication, board reporting and investor communication, as well as the alignment between executive management, finance and supervisory bodies.
Focus areas- Sharpen your messages for different financial stakeholders
- Use AI to present complex figures and issues clearly
- Set out financial arguments and decision logic clearly and transparently
- Strengthen trust, credibility and clarity in financial communication
- Prepare board presentations and investor conversations thoroughly
- Communicate effectively in financial crises
- Ensure transparency and traceability towards supervisory boards and owners
- Balance AI-supported and personal financial communication
Spotting risks, market shifts and disruptive developments in finance earlier
You analyze market movements, liquidity risks and disruptive trends with modern methods – and translate the signals into strategic financial priorities, resilience and stability.
Focus areas- Analyze market, interest rate and liquidity risks with data
- Detect adverse financial developments, trends and weak signals early
- Use early warning systems and scenarios effectively in risk management
- Build resilience to market volatility, price pressure and capital shortages
- Sharpen your strategic positioning in financial management
- Open up international financing and investment opportunities systematically
- Professionalize risk management with AI-based models
- Adapt organizational models, responsibilities and interfaces in finance to market dynamics
- Connect strategic risk management with corporate finance and executive management
Governance, ethics and responsibility in AI-based finance
AI changes not only financial decisions, but also responsibility, liability and trust.
The seminar does not treat AI as uncritical hype, but as a responsible financial instrument for lasting impact and legitimate decisions.
Focus areas- Develop governance structures for the use of new technologies in finance
- Clearly define responsibility, liability and roles in the use of AI
- Take data protection, compliance and regulatory requirements into account
- Anchor ethical guardrails for the use of AI in finance
- Build acceptance among employees, investors and stakeholders
- Address false incentives and misinterpretations systematically
- Ensure quality assurance and auditability of AI-based financial decisions
- Assess and communicate the risks of new technologies in finance transparently
- Judge and communicate the limits of AI in finance realistically
- Balance human responsibility and technological possibilities sensibly
Shaping innovation and transformation in finance
Digitalization, FinTech, blockchain and new analysis tools are changing the demands on financial leadership. You learn to build innovation and transformation into your own financial practice as levers.
Focus areas- Rethink financial leadership in digital transformation
- Understand digital platforms and new ecosystems as growth levers in finance
- Seize the opportunities of FinTech, blockchain and automation
- Link innovation processes with financial strategy and data literacy
- Examine new financing models and digital value creation systematically
- Establish cross-functional teams and hybrid decision models in finance
- Embed Data Literacy and AI skills firmly in the finance team
- Integrate sustainability and purpose into financial decisions
- Review the organizational conditions for effective transformation in finance
- Lead Change Management for new financial processes successfully
Transfer into your own leadership practice
You identify the biggest levers in your own area of responsibility and develop your personal Financial Decision Playbook – strategically grounded and ready to connect directly to your leadership practice.
Focus areas- Review your own financial leadership and decision-making in a structured way
- Recognize strengths, gaps and untapped potential
- Identify the key levers for decisions, communication, strategy and governance
- Bundle fragmented finance initiatives and align them for joint impact
- Derive concrete measures for your own area of responsibility
- Set implementation priorities for the next 100 days
- Develop your personal Financial Decision Playbook for day-to-day leadership
- Prepare the transfer into your organization, team and daily financial work
Lead financially with greater confidence
You can lead financially with greater confidence: you understand how AI is changing financial decisions, how to combine data and expertise, and how strategy, communication, governance and personal financial routines work together.
You gain concrete starting points for turning fragmented finance initiatives into a coherent leadership practice – with clearer decisions, better communication and closer alignment between finance, management and the organization. You also develop your personal Financial Decision Playbook for more clarity, speed and impact in day-to-day work.
- Make financial decisions more clearly, faster and at higher quality
- Spot risks, opportunities and market shifts earlier
- Underpin investment decisions and capital allocation with data
- Sharpen your personal financial routines and communication
- Align finance, management and governance more closely
- Use AI in finance responsibly, ethically and in line with compliance requirements
- Develop your personal Financial Decision Playbook for day-to-day leadership
This strengthens your impact as a financial leader, the quality of your decisions and your entrepreneurial effectiveness within your organization.
Five features that make the difference
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The St. Gallen management approach
Financial management, decision-making, strategy and AI are not treated in isolation, but understood as one integrated leadership task.
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Practice, not theory
Models, methods, case studies and transfer work help you derive concrete measures and a personal Financial Decision Playbook for your own area of responsibility.
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Peer-to-peer exchange
Participants from different functions, industries and companies contribute their own experience, questions and perspectives.
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Lecturers from practice and academia
The seminar combines conceptual grounding with hands-on financial practice and current AI applications.
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A basis to build on
The seminar can serve as a stimulus for your own development and as an entry point to further programmes and seminars at the StGallen imt Business School.
Key information at a glance
All the key facts about the “Intelligent Finance” management seminar – and the dates currently open for booking.
- LocationSt. Gallen
- Duration3 days · optional with ECTS
- LanguageGerman / English
- Target groupManagers, emerging leaders, entrepreneurs
- InvestmentCHF 2,400 · plus 8.1% VAT
- NetworkStGallen imt Alumni
Available seminar dates
The following dates are available as alternatives. Corporate dates can be scheduled individually – contact us.
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06.-08.08.2026
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03.-05.12.2026
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17.-19.06.2027
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05.-07.08.2027
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02.-04.12.2027
Who you will share the seminar room with
The management seminar brings together ambitious participants from a wide range of industries and countries.
Confidence in our expertise
Experiences from our network
Insights and perspectives from participants, lecturers and partners of the StGallen imt Business School.
The StGallen imt Business School was decisive for my path to the executive board. Practical impetus, strategic clarity and valuable perspectives gave me the best possible toolkit for leading a company successfully.
Inside the learning environment
Inspiring workshops, insights into companies such as Google and a unique educational setting in the St.Gallen Valley.
Expertise from academia and practice
Learn from leading experts from academia and practice – with many years of experience in financial management.
Dr. Ulrich von Bassewitz
Your contacts
If you have questions about the “Intelligent Finance” management seminar, we are happy to help you personally.
All the details of the seminar
Download the brochure for the “Intelligent Finance” management seminar – with full details on content, methodology, dates and terms.
- All modules with their focus areas
- Dates, terms and how to register
- Lecturers, methodology and transfer concept