πΉ Starter AI Pilot
Price Range: $15,000 β $25,000
Timeline: 3β5 weeks
Best For: Organizations testing AI with fast, low-risk validation
π― Objective
Help your team identify, prototype, and validate one high-impact AI use case without large upfront investment or disruption.
β Whatβs Included:
AI Discovery Workshop | 1β2 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 |
π§ 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 |
π§° 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
π Optional Add-Ons:
- Power BI integration & dashboard polish: +$3,000 β $5,000
- Additional use case prototype: +$5,000 β $10,000
- API wrapper for integration (finance systems, etc.): +$2,000 β $4,000
π 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
π¨ββοΈ 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