Agentic Coding in Banking and FinTech
Banks and FinTech companies need faster delivery without losing control. This workshop shows how coding agents fit into regulated environments: how to scope tasks, protect sensitive data, keep every change traceable and design review so responsibility stays with named engineers. General orientation only, not legal or regulatory advice.
Request without obligation- Duration
- 1 day
- Level
- Intermediate
- Format
- Remote or on-site, English or German
- Group size
- Up to 12 participants per trainer
Who it is for
- Developers and tech leads in banks, payment and FinTech companies
- Engineering managers responsible for delivery in regulated settings
- Architects and security staff assessing agent adoption
- Quality and compliance staff who review development processes
What your team will be able to do
- Select low-risk, high-value tasks for coding agents in a financial context
- Configure agents and project rules to keep sensitive data out of prompts
- Keep an audit trail from task to pull request to release
- Design review steps with clear sign-off and four-eyes principle
- Use agents for tests, refactoring and documentation of core services
- Prepare a conversation with risk and compliance based on concrete practice
Agenda
- Context and constraintsDiscuss typical regulatory and internal constraints and how they translate into working rules for agents.
- Safe task selectionClassify tasks by risk, data sensitivity and reviewability, and choose the first use cases.
- Hands-on in a sandboxImplement a feature and its tests in a sandbox service with an agent and strict project rules.
- Review and traceabilityPractise structured review, four-eyes sign-off and linking changes to tickets and decisions.
- Roadmap for adoptionDraft a staged rollout and the points you want to align with risk, security and compliance.
Prerequisites
- Professional development experience
- Sandbox project or non-sensitive sample service
- Awareness of your organisation's internal AI and security rules
Why apprat.io workshops
- Taught by practising AI Code Engineers
- Your repositories or a sandbox project
- AI speed, human responsibility: review, security and governance included
- ISO 9001 & ISO/IEC 27001 certified processes
- Follow-up office hours after 30 days
Request without obligation
Tell us about your team and goals. We reply within one business day with a tailored agenda and a quote – free and without obligation.
24/7 call support in English & German:
+49 761 519 751 50
Frequently asked questions
Is this legal or regulatory advice?
No. We give practical engineering orientation. Regulatory interpretation remains with your compliance and legal functions.
Do we use real customer data?
No. The workshop uses sandbox or synthetic data only.
Can it be run on-site?
Yes. Workshops can be held remotely or on-site in DACH and Europe.
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