Private AI assistant operating entirely within firm infrastructure. No data leaves the network—complete isolation.
- Network isolation prevents exfiltration
- Audit logs track usage, not content
- Role-based matter isolation
- All outputs marked as drafts
- 60-85% cost savings vs external APIs
- Eliminates privilege waiver risk
- Full control over model behavior
- No per-token costs after deploy
31% cost reduction ($170K/year) achieved by eliminating over-provisioned redundancy. Replaces live hot-standby with active/passive failover and intelligent routing that defaults to small models. vLLM's batching efficiency allows single GPU clusters to serve 500 users without degradation. Security posture unchanged—network isolation and audit controls preserved. 99.5% uptime target (vs 99.9%) trades rare 3min delays for rational cost discipline.