Business fields · Banking
AI training for Banks
Banks operate between rising cost pressure, digital competitors and dense regulation. Generative AI offers tangible efficiency gains: AI assistants analyse credit files and financial statements, summarise regulatory publications, help relationship managers prepare client meetings and answer internal questions about policies and procedures. AI agents and automation speed up processes in credit operations, KYC and complaints handling. At the same time, specific requirements apply: outsourcing and ICT risk management, traceable decisions and protection of customer data. Banks using AI must assess use cases carefully, integrate models and providers into risk management and assign clear responsibilities. Then AI becomes a tool for better advice and leaner processes.
Who is this course for?
- Corporate and retail relationship managers
- Credit analysts and credit operations staff
- Compliance, AML and risk management teams
- Organisation and process owners
- Internal audit
Typical challenges we address
- Analysing extensive credit files and financial reports efficiently
- Tracking and implementing regulatory changes from the EBA, ECB and national supervisors
- Meeting documentation duties in advisory and lending processes
- Reducing manual checks in KYC and AML without compromising quality
Practical scenarios from your field
Credit file analysis
An AI assistant summarises annual accounts, management accounts and business plans, calculates ratios via transparent formulas and drafts the credit memo, which analysts review before making their recommendation.
Regulatory monitoring
New circulars, guidelines and consultations are collected and summarised automatically; AI maps them to affected departments and produces an initial gap list against existing policies.
Client meeting preparation
Relationship managers receive a concise briefing from approved data sources covering product holdings, open topics and suggested questions, without AI making investment or credit recommendations on its own.
KYC research support
AI structures company register extracts, ownership structures and adverse media, proposes likely beneficial owners and documents sources so that staff can complete reviews faster.
Complaint classification
Incoming complaints are categorised by topic, urgency and product, deadlines are flagged and draft responses prepared for the complaints team to review and approve.
Internal knowledge assistant
An AI assistant answers questions about procedures, product terms and processes based on the bank's written rules and always cites the source for verification.
Possible hands-on projects
Credit ratio calculator
An app that imports balance sheet and income statement figures, calculates ratios such as equity ratio, debt service coverage and leverage and visualises multi-year trends.
Regulatory tracker
An internal tool that logs publications, manages owners and implementation deadlines and shows implementation status per department at a glance.
Meeting minutes assistant
A form-based tool that turns notes from advisory meetings into structured minutes with mandatory fields and flags missing documentation points.
All 15 courses for Banks
AI for business (12)
- ChatGPT for Banks
- Claude for Banks
- Microsoft 365 Copilot for Banks
- Google Gemini for Banks
- AI Agents for Banks
- Prompt Engineering for Banks
- Generative AI for Banks
- n8n for Banks
- Make for Banks
- Perplexity for Banks
- Mistral Le Chat for Banks
- EU AI Act & AI Compliance for Banks
Vibe & agentic coding (3)
Data protection & compliance
AI use in banks is subject to supervisory requirements such as the German MaRisk, DORA for ICT risk and third-party providers, banking secrecy and the GDPR. Creditworthiness assessments of natural persons are classified as high-risk under the EU AI Act, with additional obligations.
Prerequisites
You work at a bank or financial services provider and know the core processes of your area.
Frequently asked questions
Does using an external AI service count as outsourcing?
It depends on the use case. Many AI services must at least be assessed as ICT third-party services under DORA, and some as outsourcing under national supervisory rules. We show which questions to clarify with information security, outsourcing management and compliance before a tool goes into production.
May AI decide on loans?
Credit decisions remain the responsibility of authorised staff. AI can prepare documents and analyses. If AI systems are used to assess the creditworthiness of natural persons, the high-risk obligations of the EU AI Act apply, together with transparency and explanation duties towards customers.
Request without obligation
We will get back to you within one working day with a confirmation or an alternative suggestion.