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AI Workshop
AI Workshop
Built for finance & banking teams Audit-aware approach In-person or hybrid Templates + prompt library included

KI-Training für Finanzexperten

From financial analysis to investor reporting and client communication - apply AI to the work that takes the most time in Swiss finance teams.

Switzerland's finance sector is under pressure to move faster, report more clearly, and serve clients better - all with the same or fewer resources. AI can help, but finance teams need a practical approach that fits audit-ready standards, regulatory constraints, and the judgment-heavy nature of financial work. This workshop is built for that reality.

AI for Finance Professionals Workshop
01

Who this program is for

  • Finance managers, controllers, and CFO teams managing reporting cycles
  • Private banking and wealth management relationship managers
  • Financial analysts and investment teams handling research and commentary
  • Treasury, risk, and compliance teams with high documentation needs
  • Finance business partners supporting operational departments across the business
02

The finance challenges we address

Reporting Bottlenecks

Monthly, quarterly, and board reporting takes enormous effort. AI helps structure, draft, and review financial narratives faster - without losing the accuracy standards finance teams require.

Analysis Documentation Time

Translating data into clear, decision-ready commentary is slow. AI helps turn numbers into structured narratives and management summaries much faster.

Client Communication Volume

Relationship managers and advisors spend significant time drafting client updates, proposals, and follow-ups. AI accelerates this while maintaining the tone your clients expect.

Regulatory & Compliance Documentation

FINMA, MiFID II, and internal compliance requirements generate significant documentation work. AI helps maintain standards while reducing the manual effort.

03

What makes this finance program different?

Finance is a field where accuracy is non-negotiable. This workshop focuses on AI as an accelerator for the communication and documentation layers of finance work - not as a substitute for financial judgment. Every use case is designed with audit-readiness and data governance in mind.

You will leave with real deliverables:

  • Finance Prompt Library (reporting, analysis, client comms, board packs)
  • AI Data Governance Guardrails for Finance Teams
  • Financial Narrative Drafting Templates
  • Client Update & Proposal Communication Templates
  • 30-Day AI Adoption Roadmap for your finance function
04

Program Overview (1-Day In-Person Workshop)

Group size: 8–15 participants (best for interaction) Format: finance-specific use cases + live demos with real data workflows Tools: ChatGPT, Microsoft Copilot (Excel, Word, Teams), data analysis integrations

Module 1 - AI Foundations for Finance Professionals

  • How AI models work and where they introduce risk in finance
  • Data privacy, confidentiality, and what not to share with AI tools
  • Output verification habits: when to trust and when to check
  • Regulatory considerations for AI use in financial services

Outcome: Your team uses AI with financial-grade accuracy standards and appropriate oversight.

Module 2 - Financial Reporting & Management Commentary

  • Structuring monthly and quarterly management reports faster
  • Drafting financial narratives from structured data
  • Board pack commentary: clear, concise, decision-ready
  • Reviewing and improving existing financial reports

Outcome: Reporting cycles that take days compressed into focused hours.

Module 3 - Analysis Documentation & Research Summaries

  • Turning financial model outputs into readable analyst commentary
  • Synthesizing market research and economic updates into briefings
  • Competitive intelligence summaries for investment decisions
  • Peer and sector comparison documents

Outcome: Analysis outputs that communicate clearly to non-finance stakeholders.

Module 4 - Client Communication & Relationship Management

  • Drafting personalized client portfolio updates
  • Investment proposal and recommendation letter templates
  • Meeting follow-up notes and action summaries
  • Clear, accessible financial explanations for private clients

Outcome: Higher-quality client communication produced in significantly less time.

Module 5 - Compliance Documentation & Operational Efficiency

  • Structuring compliance reports and regulatory filings
  • Policy document drafting and simplification for internal teams
  • Audit trail documentation patterns
  • Identifying repetitive finance tasks candidates for AI support

Outcome: Less time on documentation, more time on value-adding finance work.

05

Optional Add-Ons

Private Banking & Wealth Management Track (90 minutes)

  • Client onboarding documentation workflows
  • Investment proposal drafting and personalization
  • KYC and AML documentation support

Excel + Copilot Power Session (Half Day)

  • AI-assisted data cleaning and structuring
  • Copilot-powered data summarization and commentary
  • Building AI-assisted financial dashboards and narratives
06

Example finance use-cases you'll practice

  • Draft a board-ready management commentary from a P&L summary
  • Generate a clear client portfolio update letter from performance data
  • Summarize a regulatory circular into actionable internal guidance
  • Create a structured competitor analysis briefing from public data
07

Results you can expect

  • Faster reporting cycles with higher-quality narrative output
  • More consistent, professional client communications
  • Reduced time on analysis documentation and compliance paperwork
  • A finance team that applies AI strategically and responsibly
08

How it works

1

Pre-workshop scoping: share your team's core finance workflows and 2–3 document types you want to focus on

2

1-day in-person workshop: practical training on finance-specific scenarios with your team

3

Post-workshop package: prompt library, guardrails sheet, and a 30-day finance AI adoption roadmap

09

Frequently Asked Questions

Can we use AI with confidential financial data?

We address this directly. The workshop covers what to share, what not to share, and which tool environments are appropriate for different data sensitivity levels. You will leave with a clear data governance framework.

Does this work with Microsoft 365 environments?

Yes. We can focus specifically on Microsoft Copilot for finance - covering Excel, Word, and Teams - which is often the approved environment for Swiss financial institutions.

Is this relevant for private banking?

Absolutely. We have a specific private banking and wealth management track covering client communication, portfolio updates, and relationship management workflows.

Can this be delivered to our full finance team on-site?

Yes. On-site delivery is the preferred format. We can tailor the content to your institution's tools, workflows, and regulatory environment.