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TrustOS

Enterprise AI-Native Trust & Safety Operating System

Autonomous Multi-Agent AI for Explainable Trust & Safety Investigations


Enterprise AI Explainable AI Human in the Loop Multi-Agent AI Apache 2.0



TrustOS transforms manual Trust & Safety investigations into autonomous, explainable, and enterprise-governed AI workflows.

Built for marketplaces, e-commerce, fintech, social platforms, and digital ecosystems, TrustOS orchestrates specialised AI agents to analyse evidence, interpret policy, assess risk, and generate transparent recommendations while keeping humans in control of high-impact decisions.


Executive Summary

TrustOS orchestrates specialised AI agents to automate Trust & Safety investigations from evidence collection through explainable decision recommendations.

Built for marketplaces, e-commerce, fintech and digital platforms, TrustOS combines autonomous AI reasoning with human governance to improve investigation quality, consistency and auditability.

The Problem

Modern Trust & Safety operations rely on fragmented tools, manual investigations and disconnected policy knowledge.

Key challenges:

  • Reviewing thousands of cases consistently
  • Correlating evidence across multiple systems
  • Applying policies uniformly across investigations
  • Producing transparent, explainable decisions
  • Maintaining audit-ready governance
  • Reducing investigation turnaround time without compromising quality

Meet TrustOS

TrustOS augments investigators with specialised AI agents for evidence analysis, policy interpretation, vision analysis, risk assessment and executive reporting.

Every recommendation is explainable, traceable and auditable.

Architecture

Architecture


Marketplace Event
        │
        ▼
 Investigation Portal
        │
 ┌──────┼────────┐
 ▼      ▼        ▼
Evidence Policy Vision
 Agent    Agent   Agent
        │
        ▼
Autonomous Risk Council
        │
        ▼
Compliance Decision Engine
        │
        ▼
Human Review (High-Risk Cases)
        │
        ▼
Executive Report & Audit Log

Product Screenshots

Dashboard

Dashboard

Investigation Queue

Queue

Analytics

Analytics

Analytics

Analytics

Technology Stack

Layer Technology
Workflow Automation n8n
LLM OpenAI GPT
Frontend Lovable
Data Store Google Sheets
Architecture Multi-Agent AI

Key Features

  • Multi-Agent AI
  • Explainable AI
  • Human-in-the-loop
  • Policy reasoning
  • Evidence analysis
  • Executive reporting
  • Audit trail

Business Value

  • Faster investigation turnaround
  • Consistent policy enforcement
  • Explainable AI recommendations
  • Human-in-the-loop governance
  • Enterprise-grade auditability
  • Scalable Trust & Safety operations

Repository Structure

assets/
demo/
docs/
workflow/
LICENSE
README.md

Roadmap

  • Additional AI agents
  • Enterprise integrations
  • Advanced analytics
  • Workflow templates

License

Apache-2.0

Creator

Aniruddha Vanshiv

Trust & Safety • AI • Platform Risk • Customer Experience


⭐ If you found this project interesting, please consider starring the repository.

TrustOS demonstrates how autonomous multi-agent AI can transform enterprise Trust & Safety investigations through explainable reasoning, governance, and human oversight.

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Enterprise AI-Native Trust & Safety Operating System powered by Multi-Agent AI for Explainable Investigations and Autonomous Risk Decisioning.

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