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πŸ”Ή Starter AI Pilot

Price Range: $15,000 – $25,000
Timeline: 3–5 weeks
Best For: Organizations testing AI with fast, low-risk validation

🎯 Objective

Help your team identify, prototype, and validate one high-impact AI use case without large upfront investment or disruption.

βœ… What’s Included:

AI Discovery Workshop 1–2 sessions with business and technical stakeholders to identify priority use cases
Use Case Selection & Scoping Prioritization based on feasibility, data readiness, and expected ROI
Data Audit & Exploration Review of available data sources (claims, CRM, financials, support tickets, etc.)
AI/ML Prototype Working model using Azure Machine Learning or OpenAI that proves feasibility
Business-Friendly Output Results visualized in Power BI or Excel for immediate stakeholder review
ROI Snapshot & Recommendations Simple ROI estimation, next-step roadmap, and scalability guidance

🧠 Sample Use Cases You Can Choose From:

Category Example Use Case
Revenue Optimization Predict payer reimbursement timelines
Denial Prevention Flag high-risk claims before submission
Patient Collections Score likelihood of patient payment
Operational AI Generate summaries of long clinical/admin notes using GPT
Sales & CRM Analyze sales pipelines or lead scoring with AI

🧰 Tech Stack (Lightweight & Scalable)

  • Azure Machine Learning Studio or Azure OpenAI
  • Power BI for visualization (optional)
  • Data sources: CSV, SQL Server, Azure Data Lake, Synapse, Excel

πŸ” Optional Add-Ons:

  • Power BI integration & dashboard polish: +$3,000 – $5,000
  • Additional use case prototype: +$5,000 – $10,000
  • API wrapper for integration (finance systems, etc.): +$2,000 – $4,000

πŸš€ Expected Outcomes

  • Working AI prototype tailored to your business needs
  • Clear insights into data readiness and model accuracy
  • Framework for go/no-go decision making
  • Executive-ready deliverables to support further investment

πŸ‘¨β€βš•οΈ Example: Healthcare Client Pilot

Use Case: Predicting cash inflows from top 5 payers
Timeline: 4 weeks
Result: Achieved 85% accuracy on 30-day collections forecast, leading to a full-scale rollout