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Success Story

Driving AI Readiness in Financial Services: From Legacy Silos to Scalable Intelligence

A leading financial institution partnered with Gruve and Red Hat to modernize its infrastructure and prepare for enterprise AI adoption. By standardizing on Red Hat OpenShift Container Platform and leveraging Gruve’s AI readiness framework, the organization addressed legacy silos and enabled early-stage autonomous AI teammates for fraud detection, compliance, and IT support.

  • 30% faster deployment of AI models into production

  • Improved compliance through enterprise-grade security controls

  • Cost savings driven by optimized compute utilization and containerized operations

  • Ability to deploy Gruve pre-built AI employees for fraud detection and IT support, while continuing to develop custom AI teammate use cases in customer service and compliance

The institution faced significant challenges running early-stage autonomous AI teammates due to siloed legacy environments. These fragmented systems limited scalability, slowed AI model deployment, and made it difficult to enforce consistent security and compliance controls, which are critical requirements in financial services.

Red Hat OpenShift Container Platform:

Established a standardized, containerized foundation for deploying and scaling AI workloads securely across environments.

Gruve AI Readiness Framework:

Provided a structured approach to prepare infrastructure, operations, and governance for AI adoption.

Enterprise-Grade Security Controls:

Enabled improved compliance aligned with regulatory requirements.

Pre-built and Custom AI Teammates:

Supported rapid deployment of Gruve’s pre-built AI employees while allowing parallel development of custom AI use cases.

With a modernized, container-based platform in place, the institution accelerated its path to AI adoption. AI models moved from development to production more quickly, compliance posture improved, and infrastructure efficiency translated into cost savings. Most importantly, the organization gained the flexibility to deploy pre-built AI employees for immediate value while building custom AI teammates tailored to evolving business needs.

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