Legacy System AI Integration
You don't need to rip and replace your entire tech stack to use AI. We specialize in building secure middleware that acts as a bridge, allowing state-of-the-art Large Language Models to read data from, and write actions to, decades-old ERPs, AS400 mainframes, and legacy SQL databases.
Service Overview
Secure API Wrapping
We build modern REST/GraphQL APIs on top of your legacy systems, allowing the AI to interact with them securely.
Data Normalization Pipelines
Taking the messy, poorly-formatted data from legacy databases and cleaning it in real-time so the AI can understand it.
Read/Write Access Controls
Ensuring the AI can read data to answer questions, but enforcing strict human-in-the-loop approvals before the AI is allowed to *write* changes to the old system.
Zero-Downtime Deployment
Our middleware sits alongside your existing infrastructure. We don't touch your core code, ensuring zero disruption to your daily operations.
Our Process
Infrastructure Auditing
Week 1-2Deep-diving into your legacy schema (e.g., SAP, Oracle, AS400) to understand how data is stored and retrieved.
Middleware Development
Week 3-5Building the secure Node/Python integration layer that translates modern API calls into the specific format your legacy system requires (e.g., SOAP to REST).
AI Orchestration Routing
Week 6-7Connecting the AI Agent (LangChain) to the new middleware, teaching it exactly which endpoints to hit to retrieve specific data.
Sandbox Testing
Week 8Running thousands of automated queries in a staging environment to ensure the legacy system doesn't crash under the new AI workload.
Gradual Rollout
Week 9Deploying the integration in a read-only state first, monitoring the logs, and slowly enabling write-access as confidence builds.
Technologies We Use
FAQ
Our system doesn't have an API. Can you still integrate AI?
Will the AI slow down our legacy servers?
Is this secure enough for banking/healthcare?
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