π’ Enterprise AI Program
Price Range: Starts at $150,000/year
Timeline: 4β6 months setup + ongoing partnership
Best For: Organizations scaling AI across multiple departments with strategic transformation goals
π― 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.
β Whatβs 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 |
π§ 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 |
π§° 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
π Optional Add-Ons:
- AI Center of Excellence (CoE) design and launch
- Regulatory audit and compliance support
- Extended AI fluency and change management programs
π 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
π’ 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