GenAI moves from interesting to essential the moment teams can point to specific, repeatable use cases that deliver business value. The challenge is rarely model capability; it is identifying the right starting points, mapping them to industry context, and running them in production securely and at scale. The Compass Use Case Guide is built to bridge that gap.
The guide opens with the six foundational GenAI patterns Compass is built to support: enterprise knowledge assistants, customer support and virtual agents, GenAI copilots for productivity, agentic AI workflows, AI content generation at scale, and retrieval-augmented generation applications. Each pattern represents a category of value, from grounding responses in trusted enterprise data to deploying autonomous agents that plan, reason, and execute multi-step tasks across systems.
From there, the guide maps GenAI into six industry verticals with concrete, deployable use cases. In telco and media, that includes real-time AI inference for customer interactions, speech analytics, churn prediction, billing optimization, and AI-driven traffic management. In healthcare, it covers medical image analysis, AI-powered diagnostics, clinical documentation, real-time patient monitoring, and triage assistants.
Public sector applications span predictive public safety, government contact centers, regulatory assistance, judicial case summarization, and traffic flow management. Banking and finance use cases include AI-powered fraud detection, virtual customer assistants, intelligent document processing, KYC/KYB onboarding, and credit risk insights, all areas where explainability and compliance matter as much as accuracy.
Manufacturing and energy round out the guide with use cases like energy consumption optimization, synthetic data generation, material science discovery, predictive maintenance, anomaly detection, real-time asset monitoring, and grid resiliency planning. Across every industry, the same Compass capabilities apply: access to leading models through one unified API, white-glove fine-tuning support, sovereign deployment with secure local integration, and a future-ready architecture that scales with evolving needs.