Approved sources & systems
Amy and local AI work from the corpora and connectors you authorize.
Enterprise teams need conversational BI across systems, private or on-premise AI when required, and agents that respect access and audit — not unmanaged chatbots.
Start with one approved corpus. Expand by team and region.
Every answer checked against policy, sourced from approved systems, and written to the log.
Three platforms, one governance bar. Every column ships with the same access and audit expectations — choose the surface that fits the team.
| Need | Amy AI | Local AI | NeoAI |
|---|---|---|---|
| Conversational BI | Yes — ask for charts & KPIs | Private deployment option | |
| Cross-system data (MCP) | Yes | Yes | Actions in CRM/ERP |
| On-premise / private | Supported | Core offering | Supported |
| Customer & ops agents | Internal agents | Yes |
The three questions your security, data, and platform teams will ask — answered up front.
Amy and local AI work from the corpora and connectors you authorize.
Offline, internal network, private cloud, or hybrid — you decide what stays inside.
Local AIIntegrations respect your versions, legacy systems, and security requirements.
IntegrationsOne desk, one approved corpus.
Teams and regions.
Access, audit, and reporting as routine.
We’ll walk access, sources, and rollout for one pilot desk before anything wider.
Enterprise engagements include conversational BI across approved corpora, private or on-premise AI, agents that respect access controls and audit requirements, and stack-compatible installations integrated with legacy systems.
Silicore recommends starting with one approved corpus and one pilot desk, then expanding by team and region with access, audit, and reporting as routine — before wider deployment.