Role Assistants

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Role Assistants turn a Business Role into governed AI-assisted work — Sales Assistant, Project Assistant, Finance Assistant — that helps an identified person complete recurring work using approved enterprise context, governed capabilities, and Evidence.

This is the third pillar of AI Fabrix. Enterprise Knowledge supplies business context; Operational Trust applies boundaries; Role Assistants perform governed work; Evidence Fabrix proves the outcome. A Role Assistant is human-owned and role-scoped: AI can recommend, prepare, and request work, but it cannot grant itself authority. For the full definition — what a Role Assistant is, what it is not, and the candidate → validate → available lifecycle — see What is a Role Assistant?

Find your question

Question Page
What is a Role Assistant, and what is it not? What is a Role Assistant?
Why business context instead of prompt engineering? Business context replaces prompts
How is this different from an agent assembled from tools? Governed capabilities, not agents
What is a task, and what outcomes can it have? Tasks and outcomes
How does a request actually pass through governance? Governed work execution
How do skill levels and promotion work? Skill levels and promotion
How do people reach an assistant? Assistant channels
How are Role Assistants created? How Role Assistants are created
What assistants exist today? Role Assistant examples
How do Evidence and governed execution fit together? Role Assistants, Evidence, and governed execution
What is the difference between conversation and Work? Conversation-first work
What is the difference between Ask and Approval? Human tasks, approvals, and Why
How does this work with ChatGPT, Copilot, or external AI over MCP? External AI and MCP
What is the Business Transformation Assistant? Business Transformation Assistant
How do assistants react when business reality changes? When business reality changes
What are the lifecycle states (Draft, Active, Suspended)? Role Assistant status and availability
How do assistants get their capabilities? How Role Assistants get capabilities
How do you prove a Role Assistant works before release? Proving Role Assistants

Business value

Role Assistants help organisations move from generic AI interaction to repeatable business work: candidates are generated automatically from Business Roles and approved enterprise definitions, the Business Context Map is reused instead of rebuilt per use case, assistants are tested before release, human decision points stay explicit, and Evidence improves behavior without silently changing what was released.

One-line summary

Role Assistants automatically turn a Business Role and approved business foundation into a candidate governed capability that people validate before use.