Sandora
An AI Department OS for building virtual AI teams, automated workflows, and human-governed business operations.
Sandora is a platform for creating a custom AI department or virtual company. Instead of working with a single chatbot, users can configure multiple AI agents across roles, departments, tools, data sources, workflows, approval gates, and audit logs.
We still cannot provide the latest source code publicly due to versioning, commercial, and privacy constraints. We are still working to distill it into the most concise public-ready version.
- Being piloted for repeated operational tasks inside small businesses under controlled scope.
- Demonstrates that multi-agent systems are not only about the model, but also about tight control and cost optimization; the strongest model is not always the best choice.
- Kept human-in-the-loop governance central for risky actions such as sending emails, publishing content, launching campaigns, writing data, or spending budget.
Project Highlights
Browse, filter, and select AI agents by department, skills, status, model, and connected tools.
Configure role, persona, model fallback, knowledge sources, tool access, permissions, and approval rules per agent.
Coordinate backlog, tasks, agent assignment, approval checkpoints, workflow automation, and impact estimates.
Department channels that connect discussion, tasks, meetings, files, summaries, and operating decisions.
Video & Walkthrough
Timeline
Behind The Project
From DropPilot to Sandora
Sandora was previously named DropPilot and was locked to the dropshipping market. After deeper product analysis, I found that the most valuable part was not one specific industry, but the platform structure itself: departments, agents, workflows, tool connections, task tracking, and human control.
Product wedge
The product is not only a chatbot or workflow automation layer. Sandora combines AI agents, business workflow, and human governance to model an operating team with roles, permissions, memory, tasks, and accountability.
Target impact
The main value is increasing productivity, reducing early operational cost, standardizing workflows, and keeping important actions controlled through approval queues and audit logs.
Details to update
Visuals, workflow demos, detailed architecture, and implementation outcomes will be added later once there is a public-ready version.
Gallery
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