Turn banking workflows
into intelligent applications.
AI prepares. Humans decide. Everything is traceable.
Exploring practical AI applications for banks, private banks,
wealth managers and other financial institutions — focusing on real
workflows, real value and real oversight.
Practical AI.
Real banking value.
Lasting trust.
From documents to decisions —
with clarity in between.
Flagship applications
Six ways AI can make an immediate difference.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Portfolio value | CHF 4.28m | Portfolio · p. 2 |
| Cash available | CHF 218,400 | Balances · p. 1 |
| Next maturity | 30 Nov 2026 | Holdings · p. 4 |
RM Copilot
Private Banking
Aggregates CRM information, portfolios, cash balances, maturities and relevant events to prepare the Relationship Manager before a client interaction.
Walk into every client conversation already prepared.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Revenue | CHF 12.4m | Accounts · p. 18 |
| EBITDA margin | 16.8% | Accounts · p. 21 |
| Net debt / EBITDA | 2.4× | Calculation · 03 |
AI Credit Memo
Credit
Reads financial statements, extracts data, calculates ratios, identifies inconsistencies and prepares a review-ready credit memo with source references.
Let credit officers analyse credit — not copy numbers from PDFs.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Ownership structure | Reviewed | Register · p. 3 |
| Source of wealth | Clarify | Declaration · p. 2 |
| Identity evidence | Missing | Checklist · 04 |
KYC Review
Client Onboarding
Reviews corporate documents, ownership structures, identification documents and Source of Wealth / Source of Funds evidence, highlighting missing items and inconsistencies.
Stop discovering missing documents three weeks into onboarding.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Client domicile | Germany | Client record · 02 |
| Activity | Product discussion | Scenario · 01 |
| Required action | Compliance review | Policy · §4.2 |
Cross-Border Assistant
Compliance
Answers practical banker questions using client domicile, classification, product, mandate and internal policies, with underlying policy references and required actions.
Ask the rulebook instead of searching it.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Transactions | 12 linked records | Ledger · 01 |
| Counterparties | 3 entities | Evidence · 02 |
| Review status | Open | Case file · 04 |
AML Investigation Copilot
Financial Crime
Collects transaction history, KYC information, counterparties and previous alerts and prepares a structured investigation file for human review.
Investigate the risk. Not the paperwork around it.
Evidence-linked preparation for professional review
| Review item | Finding | Source |
|---|---|---|
| Investment thesis | Draft prepared | Memo · p. 8 |
| Liquidity terms | Quarterly | Prospectus · p. 42 |
| Risk questions | 4 to resolve | Review · 03 |
Investment Due Diligence
Investments
Reads investment memoranda, prospectuses and financial statements to produce a source-grounded investment brief, risk analysis and questions for the Investment Committee.
Read everything. Spend human attention only where it matters.
Trust by design
Built for the realities of financial services.
Design principles for the portfolio. Implementation and controls require validation.
Our philosophy
AI does the preparation.
Humans make the decisions.
“The goal is not to replace banking professionals.
It is to give them better information, faster, so they
can focus on what really matters — judgment, expertise
and client relationships.”
Insights
Practical perspectives on AI in banking.
From AI Pilots to Real Impact in Banking
Why execution matters more than demos.
Human Judgment in an AI-Enabled Bank
Augmentation, not automation.
AI Governance in Financial Services
From policy to practice.
AI in Wealth Management
Turning information into better client conversations.
Stay informed
Insights on applied AI
in banking.
Practical ideas, use cases and lessons from the field.
Explore the project Professional research & portfolio project.About the project
Banking experience.
Applied AI thinking.
Applied AI for Banking is a professional research and applied-innovation portfolio by Gabriele Gesualdo, drawing on over 20 years of banking experience.
The project supports professional development and career positioning in financial services through workflow research, illustrative applications and practical AI perspectives.
This portfolio presents concepts for professional discussion. It does not offer a currently operating commercial service. All interface examples use synthetic data.