Deployment Blueprints

Engineering the Autonomous Enterprise.

We do not publish marketing fluff. These blueprints are architectural breakdowns of how we dismantle legacy limitations and deploy sovereign intelligence for high-growth operations.

Abstract

A $40M Advanced Manufacturing firm in Utah was suffocating under NetSuite's scaling costs, restricting system access from the shop floor. We architected a migration to our Performance Tier: a Dual-VM setup inside a dedicated VPC. By deploying our Demand Forecasting module and resource-based pricing, we enabled 100% workforce system access while reducing TCO by 60%.

Architecture Tier Performance (Dual-VM VPC)
Legacy Blockers Per-User Seat Taxes
Governance Sovereign Cloud Guard
Intelligence Module Demand Forecasting (Vertex AI)

Phase 1: Dual-VM Deployment

Restoring Operational Visibility

Under legacy licensing models, extending ERP access to line workers, QA inspectors, and warehouse staff was financially prohibitive. We migrated the client to Infinary's Performance Tier ERP Core. By provisioning two dedicated Virtual Machines within a single VPC—one exclusively handling the database layer (MariaDB/Redis) and the other serving the Frappe application—we achieved absolute lowest latency unconstrained by PaaS limitations. 100% of the workforce was granted system access on day one.

Phase 2: Data Sovereignty

Securing the Private Data Mesh

Legacy transaction history spanning 7 years was extracted and seeded directly into the localized database instance. Protected by our Sovereign Cloud Guard retainer, the environment operates under a strict zero-trust identity layer. The client retains Customer-Managed Encryption Keys (CMEK) and full root access to their production database schema.

SUCCESS: NetSuite Export -> Parquet Conversion
SUCCESS: Dual-VM VPC Interconnect
SUCCESS: DB Seed (0.0% data bleed)
SECURE: Zero-Trust IAM Established

Phase 3: AI Injection

Vertex AI Demand Forecasting

With a structured, proprietary data lake established on the client's localized database, we activated the Demand Forecasting module. Automated pipelines push sales history and BOM requirements to BigQuery. Vertex AI Tabular workflows train probabilistic models utilizing local Utah economic vectors, writing a P90 demand forecast directly back into the core ERP logic. What used to be a 3-day manual Excel process is now continuously inferred.

60% TCO Reduction (3-Yr)
<1ms Internal Latency
150+ New System Users
Root DB Access Level

Abstract

A regional hospital network required advanced generative AI capabilities to process patient intake and compliance paperwork, but strict HIPAA regulations completely prohibited the use of public LLMs. We deployed our Sovereign AI-Proxy at the network layer to intercept all queries, routing them exclusively into a private, BAA-covered Vertex AI enclave, pairing it with our structured Compliance Engine.

Architecture Module Sovereign AI-Proxy Gateway
Security Standard HIPAA / PHI Compliance
Intelligence Module Compliance Engine
Device Governance Infinary Endpoint Management

Phase 1: Network Interception

Deploying the Sovereign Gateway

Healthcare staff were increasingly turning to unauthorized, unmanaged public AI tools, creating massive PHI exposure risks. We deployed the Infinary Sovereign AI-Proxy directly into the hospital's infrastructure. This proxy operates at the DNS and gateway level, actively intercepting any employee request destined for public AI endpoints, securely rerouting the localized prompt traffic exclusively back to an internally hosted, HIPAA-compliant Vertex AI model.

Phase 2: Endpoint Isolation

Device-Level Defense

Applying Infinary Endpoint Management across 300+ clinical tablets and administrative workstations, we locked down physical data egress vectors. Devices now pulse telemetry back to the centralized Cloud Guard dashboard. Any device attempting to bypass the AI-Proxy or exfiltrate data triggers an automated compliance quarantine, isolating the endpoint from the patient database in milliseconds.

INTERCEPT: ChatGPT network request
REROUTE: Private GCP Enclave
SECURE: 0% Protected Health Information (PHI) Bleed
VERIFIED: BAA (Business Associate Agreement) aligned

Phase 3: The Compliance Engine

Automating Intake Processing

With the architectural perimeter secured, we activated the Compliance Engine. Physical patient intake forms are scanned and fed through Document AI entirely within the private sector VPC. The AI extracts structured medical history and validates it against expected policy rules prior to entry into the localized database. Administrative overhead dropped completely while achieving a 100% audit pass rate for internal compliance reviews.

0% Public Data Leakage
300+ Endpoints Secured
100% HIPAA Compliance
85% Admin Overhead Cut

Abstract

A multi-state 3PL operator managing critical supply chains required mission-critical uptime, but was hampered by fragmented legacy systems and 48-hour data reconciliation latency. We unified their operations on our Enterprise Tier architecture—Multi-Region Dual-VMs with geographic database replication—and layered on our AP Intelligence module to decimate manual accounting overhead.

Architecture Tier Enterprise (Multi-Region Split VMs)
Resilience Target Disaster Recovery (DRaaS)
Intelligence Module AP Intelligence (Document AI)
Pricing Model Managed Resource Utility

Phase 1: Multi-Region Architecture

Mission-Critical Redundancy

Each distribution center historically operated as an isolated technological silo, creating severe vulnerabilities to localized outages. We deployed our Enterprise Tier Infrastructure, provisioning split application and database Virtual Machines spanning multiple distinct GCP regions (e.g., `us-west1` and `us-central1`). Database transactions are immediately geo-replicated to the failover node. If the primary instance goes offline, operations automatically reroute seamlessly to the secondary region.

Phase 2: AP Intelligence

Replacing the Back Office Engine

With the underlying multi-region ERP Core stable, we aggressively targeted operational bottlenecks. The 3PL was processing over 800 vendor logistics invoices manually per month. Utilizing Infinary's AP Intelligence capability, inbound invoices are automatically parsed by Document AI, reconciled via algorithmic three-way matching against existing Purchase Orders, and posted to the unified ledger.

PARSED: 1,247 invoices (Month 1)
MATCHED: 1,172 / 1,247 (94.0% auto-match)
FLAGGED: 75 exceptions → human review
SAVINGS: 160 hrs/mo manual entry eliminated

Phase 3: Utility Execution

Transparent Scaling ROI

Instead of paying bloated Enterprise software license margins, the client moved fully onto the Infinary Managed Resource Utility model. The baseline components—Cloud Guard, the core retention fee, and pure raw Google Cloud compute costs for the Multi-Region instances—scale directly with usage. AP Intelligence fires precisely at an API usage-based fee per invoice. Total long-term cost remains linearly tethered to computational reality.

99.9% Systems Uptime Target
94% AP Auto-Match Rate
48h→0 Reporting Latency
Utility Pass-Through Compute