Primary Use Cases
Watson Experience spans three core IBM watsonx products, each solving a distinct problem in R Co's enterprise AI landscape:
Use Case 1
Automated Business Workflows
watsonx Orchestrate automates R Co's repetitive cross-functional tasks — procurement approvals, IT request routing, HR onboarding, and security alert triage. AI agents handle multi-step work without human handoffs.
Use Case 2
Enterprise Data & Analytics Intelligence
watsonx.data gives R Co a unified, governed data lake and query layer across structured and unstructured sources. Business teams access AI-powered insights without needing to know where the data lives.
Use Case 3
Custom AI Model Development
watsonx.ai provides the model studio and prompt engineering environment where R Co teams build, tune, and deploy custom language and classification models for internal use — from document analysis to anomaly detection.
Use Case 4
Governance & Risk Intelligence
IBM OpenPages provides R Co's GRC layer — integrating with watsonx.ai to surface AI-driven risk insights, automate compliance workflows, and generate audit-ready evidence across regulatory frameworks.
Use Case 5
Cross-Program AI Integration
Watson Experience is the AI integration point for other R Co programs. NorthStar feeds AI model governance into watsonx.governance. Hawkeye surfaces data risk signals. Bob AI uses watsonx.ai as its foundation model layer.
The Watson Product Portfolio
R Co runs across three watsonx products, each providing a distinct layer of enterprise AI capability:
watsonx.ai
The AI studio and model development environment. Foundation models, prompt engineering, fine-tuning, and deployment pipelines. R Co uses it for document intelligence, anomaly detection, and as the backbone of IBM Bob AI.
watsonx Orchestrate
AI-powered workflow automation. Pre-built and custom AI agents that handle multi-step business processes across departments. Integrates with enterprise systems via connectors — no bespoke code required.
watsonx.data
Unified data and analytics platform built on an open lakehouse architecture. Governs structured and unstructured data across hybrid environments. Provides the trusted data layer that feeds every AI model and dashboard.
Program Goals
Phase 1 — Foundation
Deploy & Integrate
- Stand up watsonx.ai, Orchestrate, and watsonx.data in the AEC environment
- Connect watsonx.data to existing R Co data sources
- Build the first AI agent in Orchestrate for a business workflow
- Deploy a custom model in watsonx.ai for document intelligence
- Integrate with NorthStar for AI governance (watsonx.governance)
Phase 2 — Showcase
Demonstrate & Expand
- Run live demos with Arrow partners showing watsonx end-to-end
- Demo: AI agent automating a multi-step business process
- Demo: Natural language query over watsonx.data
- Demo: Custom model inference in watsonx.ai
- Drive IBM watsonx opportunities through partner-led engagements
Expected Outcomes
Live watsonx.ai, Orchestrate, and watsonx.data deployment in the AEC
Reusable AI agent demo covering a real business workflow
Integrated AI governance via watsonx.governance + NorthStar
Unified data layer powering both AI and business analytics for R Co