Getting AI into production is only part of the challenge. Scaling it across your business is where most organizations struggle. Multiple platforms, disconnected data, rising infrastructure costs, and governance requirements can quickly slow progress. That's why the architecture behind your initiatives matters as much as the models themselves.
Jade Global helps you build the right architectural foundation before investing in platforms, models, or engineering. We work with your teams to define an enterprise AI architecture, evaluate technology options, and validate technical feasibility, helping you reduce implementation risk, simplify governance, and create a clear roadmap for enterprise-wide AI adoption.
Our Capabilities
Target-State AI Architecture & Technical Roadmap
Design a scalable AI architecture and phased roadmap that aligns with your business priorities and future growth.
- Target-state architecture aligned to business goals
- Phased roadmap with clear priorities and dependencies
- Governance and decision framework for scalable execution
Engineering Feasibility & Build-vs-Buy Assessment
Evaluate the technical feasibility of your AI initiatives and make informed build-or-buy decisions with confidence.
- Build-vs-buy assessment based on your business and technology landscape
- Integration complexity, migration risks, and dependencies identified early
- Technical recommendations to support architecture and investment decisions
AI Engineering Readiness Assessment
Assess your AI readiness across technology, processes, and teams to identify gaps before development begins.
- Readiness assessment across architecture, data, toolchain, talent, and governance
- Prioritized recommendations to address technical and operational gaps
- Actionable roadmap to support planning, delivery, and resource decisions
Reference Architecture & Platform Blueprinting
Accelerate AI implementation with reference architectures and platform blueprints tailored to your enterprise environment.
- Reference architectures for RAG, agentic AI, LLMOps, and inference workloads
- Platform blueprints aligned with security, compliance, and data requirements
- Architecture artifacts and technical specifications for implementation
Cost, Latency & Performance Modeling
Evaluate the operational performance and cost of your AI workloads before moving to production.
- Cost modeling across cloud, on-premises, and hybrid environments
- Latency and performance analysis for production-scale workloads
- Optimization recommendations for infrastructure, models, and resource utilization
How We Engage
Assess
Readiness assessment Feasibility review Architecture audit of current state
Design
Target-state architecture Reference blueprints Roadmap & build-vs-buy recommendation
Enable
Handoff to engineering Architecture review gates Documentation & knowledge transfer
Why Jade Global
Production delivery experience
Advisory grounded in real delivery — not frameworks built in isolation from execution.
Enterprise environment depth
Brownfield, regulated, complex - we work in environments that don't forgive shortcuts.
AI embedded in methodology
AI is part of how we work, not a service layer added after the fact.