NeoAI and Amy AI are installed against your technology stack, framework versions, and architecture. Standard modules when compatible; dedicated adaptations when legacy systems, proprietary customizations, or specific infrastructure require them.
We don’t impose a new architecture — we adapt AI to yours.
Every row on the left stays exactly as it is — the AI slots in around it.
Same sheet on both sides — nothing gets crossed out.
Scoped per engagement — the checklist is drawn from your stack, your versions, and your constraints. Not from a template.
Verification of languages and framework versions in use
Compatibility checks with dependencies and libraries
Configuration tailored to your software architecture
Adaptation to databases, APIs, and proprietary systems
Development of custom connectors
Customization of NeoAI and Amy AI modules
Integration with legacy systems
Cloud, self-hosted, or on-premise configurations
Adaptation to security and privacy requirements
The goal is not to impose a new architecture on the client, but to integrate artificial intelligence into the software they already use, adapting it where necessary to the technical and operational characteristics of the organization.
The path is decided by your stack — its versions, its age, its constraints — not by what happens to be on the shelf.
Languages, framework versions, and dependencies line up with the standard NeoAI and Amy AI modules. Installation is configuration — not custom development.
Legacy systems, proprietary customizations, or specific infrastructure call for dedicated work — built around the environment as it actually runs.
If it holds data or runs a workflow, we can usually reach it — through its API, its database, or its exports.
Including the system built in-house in 2009 — if it exports anything, we can work with it.
Share the stack and constraints — we’ll map a compatible install path.
Silicore installs NeoAI and Amy AI against your existing technology stack and framework versions. The process includes compatibility checks, custom connector development, legacy system integration, and configuration for cloud, self-hosted, or on-premise deployments.
No. The goal is not to impose a new architecture but to integrate artificial intelligence into the software the client already uses, adapting to technical and operational characteristics of the organization.
Silicore connects to CRMs, ERPs, databases, calendars, booking systems, e-commerce platforms, proprietary APIs, administrative systems, document archives, and legacy business software.