Enterprise Operations OS Case Study | Flagship Automation

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Enterprise Operations OS

Custom backend, RAG, and API-orchestrated infrastructure unifying 20+ systems for a multinational enterprise.

This Flagship AI automation case study explores Enterprise Operations OS. Tags: Flagship, Integration, Workflow Automation, AI Implementation, Reporting, OpenAI, Retool, HubSpot, Make.com, AI Automation.

52%

Operational Workload Reduction

8× faster

Cross-Department Handoffs

95+

Spreadsheets Eliminated

Overview

A global enterprise (10+ departments, thousands of workflows, hybrid cloud environment) struggled with siloed systems, fragmented data, and slow cross-team processes. Their tech stack included Salesforce, NetSuite, Workday, SharePoint, on-prem SQL servers, and custom legacy software. ZapWizards designed & built a full enterprise Operations OS powered by custom backend, unified API layer, enterprise IAM integration, vectorized knowledge base with RAG, event-driven workflow engine, and modular dashboards. This was not an automation project — it was a complete operational architecture transformation.

Challenges

1

20+ critical systems with no interoperability

2

Teams relying on manual exports/imports, endless email loops

3

No central source of truth (financial data, HR data, sales data all inconsistent)

4

Legacy tools impossible to replace but essential to operations

5

Every department used its own scattered spreadsheets

6

Compliance and audit requirements impossible to meet

What We Delivered

Custom Command Center Backend with unified PostgreSQL data warehouse

ETL pipelines pulling from Salesforce, NetSuite, Workday, Azure SQL

High-performance Redis caching layer and domain service architecture

Enterprise RAG Engine with vector store and semantic search

Finance Module: PO → Invoice → Payment automation, budget dashboards

Sales Module: Bi-directional Salesforce sync, deal health scoring

Operations Module: Asset lifecycle tracking, SLA breach alerts

HR Module: Employee onboarding/offboarding OS, AI-driven L&D recommendations

Role-based access control (RBAC) and SOC2-aligned architecture

Tech Stack

Custom backend (Node + PostgreSQL + Redis + microservices), Unified internal API layer, Enterprise IAM (Okta + Azure AD), Vector store (AstraDB/Pinecone hybrid), Kafka-lite event bus architecture

Tags

FlagshipIntegrationWorkflow AutomationAI ImplementationReportingOpenAIRetoolHubSpotMake.comAI Automation

Results

52%

Operational Workload Reduction

8× faster

Cross-Department Handoffs

95+

Spreadsheets Eliminated

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