At Zorynt AI, we understand that enterprise automation is meaningless without strong data protection and operational control. This showcase project highlights our comprehensive Security & Governance framework, designed to help ensure custom AI workflow integrations remain compliant, transparent, secure, and controlled.
When architecting custom API integrations, we implement the following core guardrails:
Strict Access Control & Role-Based Permissions to regulate system interactions.
Comprehensive Audit Trails & Reporting to trace automated decisions.
End-to-End Data Encryption, both in transit and at rest, to protect proprietary company data.
Active Compliance Monitoring to support regulatory alignment with applicable industry standards.
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At Zorynt AI, we design intelligent, end-to-end backend workflows that seamlessly connect fragmented software environments. Rather than forcing clients to replace their existing tech stacks, we build custom API integrations and orchestration layer logic across major platforms like Google Workspace, Microsoft 365, CRMs, and advanced SaaS ecosystems.
Our focus centers on driving internal operational efficiency, eliminating repetitive manual data handoffs, and reducing organizational data leaks. Every workflow is built with strict corporate governance in mind, implementing robust audit trails, exception handling protocols, and manual "human-in-the-loop" approval thresholds to ensure complete security, data compliance, and operational control.
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This video demonstrates an interactive inventory analytics application designed to help operations teams monitor stock availability, identify supply shortages, and make informed replenishment decisions.
Using 16 populated synthetic inventory records, the walkthrough demonstrates how changes in stock quantities and supplier lead times automatically update inventory risk calculations.
What the Video Demonstrates
Inventory Dashboard: Displays stock availability, six stockout-risk items, and seven replenishment candidates.
Stockout Risk Detection: Identifies products that may run out before replacement inventory arrives.
Supplier Delay Simulation: Demonstrates how changing lead times affects replenishment calculations and risk exposure.
Interactive Inventory Management: Shows how stock adjustments immediately update dashboard metrics.
Replenishment Analytics: Calculates reorder points using demand, lead time, and safety stock.
Reporting: Provides calculated inventory results and export capabilities.
Technical Implementation
Developed the interactive dashboard, inventory calculation logic, scenario controls, risk filtering, and data import/export functionality using JavaScript, HTML5, and CSS3.
The demonstration showcases a functional inventory management analytics application with reproducible calculations and clearly identified synthetic data.