Knowledge assistant modernization
Claude API
Bring a Claude API knowledge assistant under enterprise control.
Discover prompts, knowledge sources and dependencies, then validate a governed migration path without interrupting the teams that rely on it.
Enterprise AI modernization
From AI experiments to production systems
- 1
Discover the real workload
Map model calls, prompts, Agent tools, knowledge sources, vector stores and the dependencies that make each AI workflow work.
- 2
Evaluate before cutover
Establish evidence across English, Bahasa Melayu and Chinese for quality, safety, latency and task cost.
- 3
Migrate with control
Use compatibility conversion, intelligent routing and shadow traffic to modernize without a blind production switch.
CoreShift AI
The control plane for enterprise AI
Build a complete inventory of models, prompts, tools, RAG sources and external dependencies.
Handle provider differences in APIs, tool calling, JSON schema, streaming responses and error behavior.
Compare quality, safety, latency and cost across English, Bahasa Melayu and Chinese workloads.
Select models and runtime strategy for each task based on language, quality targets, speed and budget.
Run legacy and modernized systems in parallel to prove the change before users are affected.
Control access to APIs, data and enterprise systems with approvals and an auditable execution trail.
Where CoreShift creates leverage
Modernization patterns for enterprises already running AI in production
Enterprise AI needs explicit boundaries before it scales. CoreShift helps teams define which tools, data sources and business systems an Agent may access, then keeps an auditable record of every sensitive action.
Governance before scale
CORE SHIFT PRINCIPLE 01
Start with what you run today.
Tell us where your AI workload is today and where it needs to go. We’ll help you frame a practical, evidence-based modernization path.
A modernization conversation
AI workload and dependency discovery
Migration compatibility assessment
Multilingual quality and safety evaluation
Shadow traffic and controlled cutover planning
Model routing and FinOps visibility
Agent tool-access and approval design
Prompt, model and knowledge-base versioning
A practical next-step roadmap