An assistant can initially search and summarize. Write access to CRM, email or tasks should be granted separately and deliberately.
ORQENIO PRACTICAL GUIDE
Connecting ChatGPT and LLMs to business systems: APIs, MCP and permissions
Natural language can become a powerful interface for business software. Safe implementation requires clear separation of data access, tools and permissions.
Existing APIs and webhooks connect systems. MCP can add a standardized tool layer for AI on top.
Reading a contact, creating an opportunity, sending an email or changing an invoice are very different risk classes and should have separate permissions.
Relevant actions should remain traceable. Where appropriate, AI prepares and a person confirms.
RELATED QUESTIONS
Go deeper where needed.
What is an API?
An API is a defined interface that lets software systems exchange data or invoke each other's functions. It is often the foundation for integration instead of manual data transfer.
Open answer →What is MCP and why is it useful?
MCP stands for Model Context Protocol. It provides a standardized way to connect AI systems with approved data sources and tools so an assistant can do more than answer questions and can act within defined permissions.
Open answer →How does MCP differ from a traditional API?
An API exposes functions to software. MCP additionally standardizes how AI systems discover and use available tools and context sources. MCP does not replace APIs; it can make them easier for AI to use.
Open answer →What does Least Privilege mean?
Least Privilege means users and systems receive only the permissions required for their task. This limits damage from mistakes, misuse or compromised credentials.
Open answer →Why is read-only-first useful for AI?
An AI system can initially read, analyze and suggest without changing data. Write access is added only for clearly defined actions. This reduces risk and simplifies testing, governance and adoption.
Open answer →What is an audit trail?
An audit trail records who or which system performed or proposed which action and when. It is important for AI automation because decisions and changes must remain reviewable.
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