ANNA OS powered ASAMIA AI · Intelligence

Proprietary base-model policy

Give every SAM an approved intelligence foundation, with clear rules for what it may process and where human review begins.

Documented capability

ASAMIA ANNA OS concept: a protected compute core with authorised pathways — ANNA OS · Concept illustration

Purpose and business value

A base-model policy turns an organisation’s AI preferences into a repeatable operating standard. It identifies the approved model configuration for a role, the permitted information classes and the conditions that require escalation. ANNA OS is the ASAMIA operating identity; the policy is not a claim that ASAMIA has independently trained every underlying model.

A shared baseline reduces ad-hoc decisions and gives operations, security and business owners one configuration to review.

Business use cases

Customer-service baseline

Specify which intelligence configuration may draft answers from an approved knowledge base and which questions must reach a supervisor.

Sensitive-work separation

Separate routine enquiry handling from roles that work with confidential contracts or employee information.

Consistent team setup

Apply the same approved policy to new SAM role plans instead of redefining the controls for every employee.

Technical requirements

01
A named policy owner and versioned approved configuration
02
Permitted data classes, task scopes and prohibited uses
03
Acceptance cases, escalation owners and review dates
04
Approved model modality and endpoint access

Functional specification

The deployment policy should record its identifier, configuration version, permitted roles, input restrictions, evaluation evidence and sign-off. Exceptions need a named owner and an expiry or review date.

Operating controls

This is a documented policy capability. The demo does not provision model access, connect accounts or change the live BuildLab service.

Model choice & ANNA LLM