Context
Agent instructions and conversation state are assembled.
AI models
Model intelligence with business boundaries.
Sauti gives the model the right context and tools, then keeps confirmations, tenant rules, and factual outcomes authoritative on the server.
Tool-calling models Tenant context Server-authorized actions
OpenAIGeminiThe model proposes. The platform verifies. The tool reports fact.
Conversation quality and operational safety are separated so changing a model does not rewrite your business rules.
Decision
The model chooses a response or an allowed tool.
Policy
Sauti checks confirmation, identity, and tenant boundaries.
Fact
The tool result becomes the only source of action truth.
Provider flexibility
Change the intelligence layer without changing the operating contract.
Prompts, tools, and state are provider-neutral so the business workflow stays stable as models evolve.
Built-in safeguards Confirmation gates Tenant-scoped tools Provider-neutral state
Structured tool use
Give models precise schemas instead of asking them to improvise integrations.
Authoritative state
Retain confirmations and pending actions outside the model's conversational memory.
Factual responses
Announce success only when the underlying tool reports that the action happened.
Use capable models without outsourcing your operating rules.
Pilot one bounded workflow and inspect every proposed and completed action.
Plan your pilot