Enterprise Deployment

Enterprise
AI Deployment

Deploy NayaFlow anywhere - from single servers to multi-site clusters. Complete data sovereignty with unlimited scaling for your entire organization.

Single-Server Deployment (5-50 Employees)

Perfect for startups, small IT departments, and proof-of-concept deployments. Everything runs on one server in your office.

What You Get

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Single Server Setup

Visual diagram of all components running on one server

Single Physical Server in Your Office:
β€’ Deep Agents UI (Web Interface)
β€’ LangGraph Server (Agent Orchestration)
β€’ Ollama + GPT-OSS 20B (Local AI Model)
β€’ PostgreSQL (State Storage)
β€’ Redis (Caching & Sessions)
β€’ 50+ AWS MCP Server Connections
Access URL:
https://ai.yourcompany.com
(internal network only)

Hardware Requirements

CPU:16 cores, 64GB RAM
Storage:500GB SSD
GPU (Optional):NVIDIA T4/A10
Total Cost:$5K-$8K one-time

Employee Access Examples

Marketing
Campaign cost analysis
Engineering
Infrastructure automation
Finance
Cloud spending reports
Management
Executive dashboards

High-Availability Cluster (50-500 Employees)

Enterprise-grade deployment with 99.99% uptime SLA, handling 1,000+ concurrent users with geographic redundancy options.

Load-Balanced Architecture

β€’ 3x GPU Inference Nodes (Ollama/GPT-OSS)
β€’ 3x Database Servers (PostgreSQL + Replicas)
β€’ 2x Load Balancers (HAProxy)
β€’ Shared NFS Storage for Virtual Filesystem
β€’ Redis Cluster (6 nodes)
99.99% Uptime SLA
Handles 1,000+ concurrent users

Investment & ROI

Hardware Investment
$120K-$165K
11 physical servers + infrastructure
Annual Operating Cost
$125K/year
$250/employee/year for 500 users

vs. Cloud AI Services

ChatGPT Enterprise:$360K/year
API automation:$500K/year

Cloud Total:$860K/year
Your Savings: $734K/year
85% reduction β€’ ROI payback in 2.7 months

Multi-Site Hybrid Deployment (500+ Employees)

Global deployment with regional data sovereignty, low latency worldwide, and independent operation capability for each site.

Global Architecture Example

🏒 New York HQ

β€’ Full HA cluster deployment
β€’ Master database & auth
β€’ Central GPU inference
β€’ 200 HQ employees

πŸ‡¬πŸ‡§ London Office

β€’ UI caching layer
β€’ Local Ollama instance
β€’ Read replica database
β€’ 50 UK employees

πŸ‡ΈπŸ‡¬ Singapore Office

β€’ Full stack replica
β€’ APAC data residency
β€’ Independent operation
β€’ 80 APAC employees

πŸ‡§πŸ‡· SΓ£o Paulo Office

β€’ Edge deployment
β€’ Sync with HQ when connected
β€’ Offline-capable workflows
β€’ 30 LATAM employees

🌍 Data Sovereignty

Each region's data stays local for GDPR compliance and regulatory requirements.

⚑ Low Latency

Sub-50ms response times globally with local inference and caching.

πŸ”„ Resilience

Each site operates independently if WAN connection fails.

πŸ’° Cost Optimization

Local inference reduces bandwidth costs and improves performance.

Complete Access Control: From Executives to Analysts

Role-based access control ensures every employee gets the right level of AI automation access for their role and responsibilities.

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Executive/C-Suite

CEO, CFO, CTO, VP-level

Strategic Dashboard
Real-time ROI metrics
β€’ Cost savings tracking
β€’ Department performance
β€’ Approval queue management
β€’ Strategic insights
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Manager Access

Department heads, directors

Department Dashboard
Team monitoring & approval
β€’ Monitor team AI usage
β€’ Approve workflows
β€’ Create reports
β€’ Allocate resources
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Developer Access

Engineers, DevOps, data engineers

Full Agent Creation
Build & deploy automation
β€’ Create custom agents
β€’ Configure MCP servers
β€’ Deploy sub-agents
β€’ Access virtual filesystem
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Business Analyst

Data analysts, BI, operations

Pre-Built Agents
No-code automation
β€’ Select ready-to-use agents
β€’ Configure parameters
β€’ Generate reports
β€’ Schedule recurring jobs

Single Sign-On (SSO) Integration

Active Directory
Azure AD
Okta
Google Workspace

Seamless integration with your existing corporate authentication. Automatic role assignment based on AD group membership.

Enterprise AI Deployment Features

Complete enterprise-grade features designed for scalable, secure, and compliant AI automation deployments.

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Scalable Architecture

From single-server deployments to multi-site clusters with automatic scaling and load balancing for enterprise workloads.

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Enterprise Security

Role-based access control, SSO integration, audit logging, and compliance-ready security features for regulated industries.

⚑

High Availability

99.99% uptime SLA with redundant systems, automatic failover, and geographic distribution for mission-critical operations.

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Multi-User Access

Support for 1000+ concurrent users with role-based dashboards for executives, managers, developers, and analysts.

🌍

Global Deployment

Multi-site deployment with regional data sovereignty, low-latency access, and independent operation capabilities.

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Real-Time Monitoring

Comprehensive monitoring dashboards, performance metrics, cost tracking, and automated alerting for proactive management.

Ready to Deploy Enterprise AI?

Schedule a consultation to design your custom deployment architecture and calculate your ROI.