Trust and security

Governance is part of the product path.

EAIP is being designed for enterprise accountability. The public site describes architectural direction, not a certification or a production security claim.

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· Enterprise Artificial Intelligence Planning

Human authority

People remain accountable for material decisions. Assistance and proposal are distinct from approval and execution.

Permission and tenant boundaries

Context, tools, and actions are scoped to the authority and organizational boundary of the task.

Data minimization

The system direction separates operational records, knowledge, prompts, evidence, and audit concerns with explicit handling rules.

Model and connector governance

Providers, tools, MCP connections, and skills require controlled registration, policy, evaluation, and observability.

Audit and evaluation

Important answers and actions should retain evidence, freshness, assumptions, approvals, affected records, and outcomes for review.

Responsible claims

Availability, integrations, certifications, accuracy, residency, and customer outcomes are not presented as facts without evidence.

EAIP

Start with the operating problem.

Contact the EAIP team