Overview / Description
Orgonaut is an AI-native platform built specifically for organisational design and scenario planning in an era where teams include both people and AI agents. Instead of sketching changes in spreadsheets or slide decks, you model them as live scenarios — restructures, team consolidations, cost simulations, capacity plans, and hybrid human+AI workforce designs — and validate them before committing anything to your real organisation.
The platform is built for multiple entry points: a web UI for visual exploration, a CLI and REST API for programmatic workflows, MCP integration for agent-driven automation, and Astro, a built-in AI assistant that can guide modelling decisions and surface trade-offs. Scenarios are sandboxed, so every change is safe to experiment with and easy to compare against the current state.
Orgonaut targets technology leaders, HR transformation teams, and operations architects who are managing continuous organisational change — especially those introducing AI agents into their operating model and needing a structured way to think through the implications before rollout.
Used For
Technology and HR transformation leaders use Orgonaut to model restructures, headcount shifts, and human+AI operating models as sandboxed scenarios before committing to their live org.
Pricing
Pros & Cons
Pros
• Model restructures, consolidations, and capacity plans as live, sandboxed scenarios • Designed for hybrid human + AI-agent workforce planning • Multiple entry points: web UI, CLI, REST API, and MCP integration • Astro, a built-in AI assistant, guides modelling decisions and surfaces trade-offs • Compare scenarios against current state before committing changes
Cons
• Aimed at technology leaders and transformation teams, not individual managers • Scenario modelling has a learning curve versus a quick spreadsheet • Value depends on accurately representing your real org structure
Questions & Answers
Alternatives
ChartHop, Agentnoon, Pingboard