We open sourced a framework to be able to model the operational layer of a business.
1. The problem today:
Almost every company uses an AI assistant: ChatGPT, Claude, or Gemini.
But it remains an assistant.
And the companies are giving more and more information, even if some are sensitive, because better context usually produces better answers.
The model should not contain the company’s operations. It should be one component connected to them.
2. Our thesis
AI is making interface and glue code cheap.
The difficult part is modeling the business context, rules, permissions, and workflows behind them.
MCP solves access to tools, but it does not solve business context, permissions, or governance.
You cannot get a useful AI implementation off the shelf. Every company operates differently.
3. What you can do with Sixb
- Connect your data: CRM, ERP, file systems, meeting transcripts... - Model your business: Customers, projects, equipment, quotes, contracts, and the relationships between them - Define your rules: A customer must receive a quote within two days - Define your permissions: Decide what each user or AI agent can see and which actions they can perform. - Define workflows: React to business events, request human approval, and execute actions in source systems. - Build custom applications: Give teams and AI agents the same operational context and controlled actions.
We would love to see people using it, giving us feedback and contributing!