We implement Agentic AI and microservices to address complex operational challenges across diverse sectors like healthcare, energy, and finance. By leveraging the Microsoft Azure ecosystem, these solutions integrate Frontier AI, Open Source models, and Computer Vision to automate tasks such as predictive maintenance for power grids and disease surveillance. Our central theme is the use of Retrieval-Augmented Generation (RAG), which allows organizations to utilize large language models securely with proprietary data while ensuring HIPAA and PHI/PII compliance. Technical architectures include Azure Kubernetes Service for scalability and Azure AI Search for grounding AI responses in verified facts. Our case studies demonstrate significant business outcomes, including drastic reductions in manual processing times and enhanced accuracy in fraud detection and infrastructure inspections.

Our Agentic AI/ Enterprise Cloud consultants carry an excellent expertise in successfully implementing projects for clients.

• State Health Departments
• EDF Renewables
• Chevron
• Pacific Gas & Electric
• Brocade
• Hill Physicians Medical Group
• Visa International
• San Francisco Health Agency
• Microsoft Corporation, and more

• Government (State, County, Federal)
  • Secure AI assistants with RBAC + Purview
  • Cross agency collaboration (CDC, FEMA, DOJ, DHS)
  • Case management automation
  • Public health analytics & emergency response agents
• Energy & Utilities
  • Predictive maintenance agents
  • Smart grid inspection (vision + drones)
  • Customer service AI with RAG grounded compliance
• Financial Services
  • Document intelligence
  • Risk scoring agents
  • Fraud detection workflows
• Healthcare
  • HIPAA aligned AI agents
  • Clinical documentation automation
  • Secure PHI aware RAG systems
• Enterprise & Fortune 500
  • Multi agent operations automation
  • Sales, billing, and field service orchestration
  • Enterprise personal AI assistants