Agentic Workflow Automation

• 

  Sovereign Guard Dashboard & Threat Simulator

• 

  Core Bank Transaction History & Audit Logs

• 

  Multi-Agent Forensic Telemetry Stream

• 

  Protected Capital Accounts Security Status

• 

  System Architecture & Integration Setup

• 

  Live Interactive API Documentation (Swagger)

Inspiration

What it does

How we built it## Inspiration

Modern engineering operations lose hundreds of hours manually auditing telemetry logs, analyzing security vectors, and dispatching compliance alerts. Traditional chat interfaces fail at these tasks because they lack persistent execution state, boundary security, and tool bindings. We set out to build an autonomous system that takes high-level operational goals and resolves them deterministically in real-time.

What it does

Agentic Workflow Automation (featuring the Sovereign Guard stack) is an autonomous task execution engine. It intercepts incoming transaction streams and system events, processes them via multi-agent reasoning, and triggers automatic containment protocols without human intervention.

Key features include:

• Autonomous Multi-Agent Telemetry: Sentry and Investigator agents continuously evaluate risk thresholds.
• Dynamic Tool Calling: Programmatic execution of file operations, system metrics auditing, and alert dispatches.
• Zero-Downtime Fallback Strategy: Automatic degradation to pure GenAI function calling if isolated sandboxes are unavailable.

How we built it

• Core AI Reasoning: Powered by Gemini 3.5 Flash and Google's Antigravity SDK.
• Backend API: Built with FastAPI, Uvicorn, and Python.
• Frontend Dashboard: Interactive real-time telemetry interface built with Next.js and Tailwind CSS.
• Containerization & Deployment: Dockerized for Google Cloud Run and hosted serverless on Vercel.

Challenges we faced

Structuring seamless state hand-offs between autonomous agents while maintaining deterministic execution sandboxes was complex. Ensuring fallback mechanisms operated smoothly across heterogeneous deployment targets required strict error boundary handling.

What's next for Agentic Workflow Automation

We plan to expand tool capabilities to support native Kubernetes cluster orchestration, dynamic cloud firewall modifications, and persistent multi-session agent memory.

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Agentic Workflow Automation

Built With

• docker
• fastapi
• gemini-api
• google-cloud-run
• next.js
• python
• tailwind
• vercel