Industry: Banking
Context: Regulated enterprise
Work: GenAI architecture

Enterprise GenAI platform for a regulated bank

A regulated bank needed a common way for business teams to develop and operate generative AI applications without rebuilding access, security and monitoring for every use case. We designed and built a central LLM gateway, shared agent runtime and security baseline, then applied them to document extraction and automated categorization of customer communications. The platform gives the bank a repeatable path for introducing GenAI applications within its existing systems and controls.

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Client

Sector: Banking
Size: Large regulated enterprise
Situation: Separate teams were integrating language models independently, duplicating access, authentication, security, cost tracking and logging.

Problem

The bank wanted to expand its use of generative AI across several business areas. A separate technical stack for every application would have multiplied integration work and made it harder to control model access, costs and audit records. The common architecture also needed to satisfy the bank's identity, networking, security-monitoring and internal review requirements.

What was built

Central LLM gateway

One controlled gateway manages model access, authentication, security policies, rate limits, cost attribution, logging and usage analytics for every connected application.

Shared agent runtime

A reusable runtime provides a common way to develop, manage and operate agent-based applications instead of assembling separate orchestration for every use case.

Document extraction with continuous evaluation

One application extracts structured data from business documents. An evaluation layer monitors accuracy as document formats and terminology change.

Automated categorization of customer communications

Another application sorts customer communications according to the bank's approved taxonomy, with each result documented and traceable.

Security and integration baseline

Private networking, managed identities, privileged-access controls, centralized secrets, security monitoring and a private connection to an on-premise process system provide a common technical baseline for the use cases.

Repeatable review path

The architecture was aligned with the bank's regulatory obligations and internal architecture and security standards.

Result

A common gateway and runtime for GenAI applications across the bank
Document extraction connected to an existing business process
Customer communications categorized against an approved taxonomy, with documented and traceable results
Continuous evaluation that monitors document-extraction accuracy as inputs change
Central visibility into model usage, costs and audit records

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