#1 Find
The team accesses AI Factory through the marketplace and explore available AI infrastructure offerings.
Find → Activate → Structure → Tailor → Layer → Approve → Navigate → Execute
The team accesses AI Factory through the marketplace and explore available AI infrastructure offerings.
The team initiates onboarding immediately through
self-service subscription.
Uvation team available for smooth onboarding.
No waiting period for initial engagement.
Infrastructure is configured according to workload requirements:
• Multi-node compute selection
• Vendor networking preferences
• Regional deployment requirements
Customized architecture aligned to project goals.
Additional capabilities can be explored:
• Auxiliary services
• Subscription structure
• Billing and term preferences
Infrastructure becomes a complete operational environment rather than isolated hardware.
Configuration approval and contracting happens
digitally, followed by checkout.
Provisioning begins immediately after order confirmation.
The implementation team connects directly with stakeholders and initiates deployment activities.
Metric |  Traditional Process |  FASTLANE AI™ Approach |
|---|---|---|
| Initial onboarding | Several days | Immediate – SSO |
| Infrastructure design | Multiple vendor cycles | Guided workflow studio |
| Contract execution | Manual process | Digital approvals |
| Purchase experience | Multi-vendor & Procurement-heavy | Single workspace checkout |
| Time to deployment | Months | Turbocharged deployment |
Set up your account and start building immediately, no approval loops required.
Configure compute, storage, and network resources tailored to your exact AI workloads.
Manage the entire AI lifecycle—from data prep to production—in a single dashboard.
Integrate top-tier tools and hardware from multiple vendors with zero lock-in.
Pay only for the resources you use with predictable, transparent pricing.
Launch production-ready AI models in minutes using pre-configured templates.
A leading hospital in US identified two operational challenges as candidates for AI transformation:
Documentation & Billing and Claims.
50 PB
of Digital Data Yearly
The hospital generates roughly 50 petabytes of digital data every year.
137 TB
of Digital Data Daily
Which breaks down to about 137 terabytes of documentation and medical data every single day.
The 250 bed multi-specialty hospital processes close to 9000 medical claims and billing transactions every week. The volume only
compounds the administrative load when compliance comes into picture.
The custom RAG (Retrieval Augmented Generative) solution would democratize document retrieval.The solution acts as a layer for real time information retrieval and verification. The RAG application is multi-tenant with a chat interface. Instructions are query able in natural language with trained LLM in the backend.
The benefits were seen not only on the billing department but also in the administration department and helped break interdepartmental silos.
6 Months
to Expand AI Factory
By the end of six months, the hospital expanded its platform to support a broader portfolio of AI use cases.
5 to 8
AI Use Cases
Running simultaneously on the same unified platform to power hyper-personalized patient content and scheduling.
By abandoning disjointed, one-off projects and embracing the AI Factory model, the hospital transformed AI from a high-risk endeavor into a disciplined, scalable production line. They successfully automated complex workflows, reduced operational costs, and ultimately delivered faster, more precise care to their patients.
| Layers | Outcomes | |||||
|---|---|---|---|---|---|---|
| HEALTHCARE DATA SOURCES | EHR | Claims | Imaging | Labs | Scheduling | Fragmented systems become unified inputs |
| SECURE DATA FOUNDATION | Encryption | Role-Based Access | HIPPA Compliance | Governance & Audit | Centralized, secure and compliant data layer | |
| AI FACTORY PLATFORM | MLOps | Model Orchestration | Fine-Tuning & Customization | AI Pipelines | Converts raw data into production- ready workflows | |
| ACCELERATED AI LAYER | Open-Source Generative AI Models | GPU-Powered Inference | High-performance intelligence engine | |||
| HUMAN + CLINICAL APPLICATIONS | Claims AI | Imaging AI | Patient Scheduling | Patient Education | HiTL Dashboards | Humans supervise Al to deliver real outcomes Higher Patient Satisfaction |
Accelerate diagnostics and treatment timelines to deliver immediate care.
Reduce operational expenses by automating resource allocation and workflows.
Eliminate bottlenecks and streamline clinical tasks with automated routing.
Minimize diagnostic errors using data-driven, highly accurate AI insights.
Improve overall hospital experiences with shorter waiting and care times.
Experience the FASTLANE t Framework. Break the months wait time for equipment from OEMs. Leverage not just a pilot system but a production ready framework for deploying AI factory. Breakaway from manual handoffs and procurement bottlenecks with a single portal for managing, tracking and deploying AI Factory.
Experience tightly integrated hardware and software working in harmony, enabling faster setup, smoother operations, and predictable performance.
Reduce cost and operational complexity as one interface brings together infrastructure, vendors, subscriptions, and deployment workflows, so your teams can focus on building and scaling AI, not managing overhead.