From Silos to Strategy: The Capability-Driven GenAI Platform for the Banking Sector
Generative AI has the potential to fundamentally transform the financial industry—from intelligent customer communication to increased efficiency in regulatory processes. Many banks are already working on divisional and specialist GenAI applications – and in many cases a company-wide GPT system has been introduced.
But the reality is that without a central platform strategy, Generative AI remains a patchwork of isolated initiatives – with high risk and limited strategic benefit.
The Challenge: Fragmentation Instead of Strategic Control
Typical symptoms across the industry include:
- Isolated solutions without technological consistency or shared governance
- Lack of reusability, resulting in higher development costs and slower time-to-market
- High risk from unofficial usage, e.g. through private ChatGPT accounts
- Unclear ROI, as success criteria, scaling potential, and business value are not systematically tracked
The result: innovation stagnates, operational risks increase—and the true potential of Generative AI remains untapped.
Our Approach: AI Orchestration via a Scalable Platform Model
H&Z Financial Services has developed a structured reference model for the successful use of Generative AI in banks—based on industry-specific challenges and regulatory requirements.
H&Z.digital contributes the implementation strength: from system architecture and tool selection to secure rollout.
Together, the approach builds on three pillars for sustainable success:
- Technology & Architecture
Development of a secure, cloud-native, LLM-agnostic platform with controlled interfaces and modular extensibility.
→ Safe AI Framework with governance-by-design - Use Case Enablement & Prioritization
Creation of a bank-specific GenAI use case backlog—distinguishing between quick wins (e.g. credit triage, email generation) and strategic levers (e.g. compliance automation, relationship intelligence).
→ Structured value creation instead of isolated proof-of-concepts - Organization & Operations
Introduction of a role-based operating model (e.g. AI Management Office) covering governance, product ownership, model maintenance, and support—complemented by targeted enablement activities.
→ Agile operating structure, change formats, and community building