Fiddler + Google Partnership: Leading Healthcare Enterprise Scales AI Safely with Centralized Monitoring and Guardrails

Industry
Healthcare
Location
Company Size
Revenue
Deployment
VPC / On-Premise
AI Observability Solutions
  • LLM Observability
  • ML Monitoring
  • Guardrails
Use Cases
  • GenAI Apps built on Gemini
  • Predictive ML models
  • PII/PHI leakage prevention
Tech Stack
  • Models & Orchestration: Google Gemini, Google Agent Development Kit (ADK)
  • Observability & Instrumentation: Fiddler AI, OpenTelemetry (OTEL) Collector
  • Infrastructure & Backend: Google Cloud (Vertex AI), ClickHouse, RabbitMQ, Kafka
  • Tools & SDKs: Fiddler PromptSpec, Evaluators SDK, Agentic SDK
  • Data Processing: PDF ingestion with OCR capabilities

A leading healthcare enterprise had scaled AI across the business with dozens of models in production and a fast-growing wave of generative AI applications. As adoption accelerated, the organization faced a familiar problem: AI sprawl. Models were being developed and deployed across multiple platforms and teams, which made it difficult to maintain consistent governance, monitoring, and security controls.

To reduce operational and reputational risk without slowing development, the organization partnered with Fiddler AI to implement a unified AI Observability and Security platform, providing a single pane of glass for visibility, oversight, and governance across the LLM and ML lifecycle.

Outcomes

By closing the governance gap with centralized oversight and runtime protections, the organization achieved:

  • Launch more apps and models into production
  • Boost productivity by shortening deployment and iteration cycles
  • Maintain governance across all AI types, supporting audit trails and centralized oversight

As AI programs scale, sprawl increases complexity and risk. This healthcare organization’s approach shows how teams can move faster by pairing innovation with operational discipline: centralized visibility, enforceable protections, and governance that spans both predictive and generative AI.

The Challenge: Managing AI sprawl without slowing innovation

As the portfolio grew, models and applications became distributed across the enterprise. This fragmentation made it harder to maintain consistent governance and answer core operational questions:

  • What models and GenAI applications are running, where, and for whom?
  • How are they performing over time, and what changed?
  • How do we detect issues early, before they become incidents?

The organization needed transparency across the full AI lifecycle, while minimizing the risk of:

  • Operational mishaps (unexpected behavior, degraded performance, inconsistent outputs).
  • Reputational exposure (unsafe responses, sensitive data leakage, loss of trust).

The Solution: A Unified “Single-Pane-of-Glass” Platform with Google + Fiddler

The organization implemented Fiddler as a centralized AI Observability and Security layer across its portfolio, including GenAI applications built on Google Gemini. This approach enabled the team to:

  • Centralize oversight with a unified view of AI models and apps in one command center.
  • Monitor Gemini apps by analyzing GenAI application behavior and performance.
  • Protect GenAI applications with real-time guardrails using Fiddler Guardrails.
  • Detect hallucinations and prevent PII/PHI leakage, reducing privacy and safety risk.