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🟒 Enterprise AI Program

Price Range: Starts at $150,000/year
Timeline: 4–6 months setup + ongoing partnership
Best For: Organizations scaling AI across multiple departments with strategic transformation goals

🎯 Objective

Enable a comprehensive AI transformation that integrates advanced AI/ML models, custom LLM applications, and robust MLOps to drive enterprise-wide innovation and ROI.

βœ… What’s Included:

Multi-Use Case AI Deployment 4+ AI/ML use cases across revenue cycle, workforce, finance, marketing, and more
Custom LLM & RAG Applications Development of large language models and retrieval-augmented generation tailored to your data and needs
MLOps & CI/CD Automation Automated model lifecycle management, deployment pipelines, and governance
AI Governance & Compliance Frameworks and processes ensuring HIPAA, GDPR, and corporate compliance
Training & Enablement Cross-functional workshops, AI fluency programs, and change management support
Executive Reporting & ROI Tracking Monthly performance dashboards and impact reports tailored for leadership
Dedicated AI Architect & Solution Lead Expert resources focused on strategic alignment and technical delivery

🧠 Sample Use Cases You Can Choose From:

Category Example Use Case
Revenue Cycle Management End-to-end payer forecasting, denial mitigation, and collections AI
Workforce & Operations Staff scheduling optimization and AI-powered operational insights
Finance & Risk Fraud detection and financial risk modeling with AI
Marketing & Customer Engagement Personalized AI-driven campaigns and customer sentiment analysis
Custom LLM Applications Intelligent document processing, chatbots, and virtual assistants

🧰 Tech Stack (Enterprise-Grade & Future-Proof)

  • Azure ML, Azure OpenAI, and custom LLM architectures
  • Automated CI/CD pipelines & MLOps frameworks
  • Azure Synapse, Data Factory, Fabric for scalable data orchestration
  • Power BI and custom dashboards for executive reporting
  • Enterprise security with Azure Key Vault, private networking, and compliance controls

πŸ” Optional Add-Ons:

  • AI Center of Excellence (CoE) design and launch
  • Regulatory audit and compliance support
  • Extended AI fluency and change management programs

πŸš€ Expected Outcomes

  • Robust, scalable AI deployments with measurable business impact
  • Enterprise-wide AI fluency and governance
  • Significant improvements in operational efficiency and revenue
  • Strong competitive differentiation through AI innovation

🏒 Example: Enterprise Healthcare AI Program

Use Case: Rolled out 6 AI use cases spanning finance, operations, and patient engagement
Timeline: 6 months initial rollout with ongoing support
Result: 20% revenue uplift, 25% operational efficiency gains, and enterprise-wide AI adoption