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Report · March 2026 · 48 pages

Executive Guide to Twin Policy

A working framework for organizations rolling out personal AI twins across the workforce.

Five questions to answer first

Who owns the clone? Who can pause it? What is the post-departure policy? How is disclosure handled? How is productivity surplus shared?

The trust budget

Every twin deployment spends from a finite team-trust budget. Transparency, revocability, and audit logs replenish it. Silent or surprise deployments deplete it fast.

Three deployment patterns that work

Pilot-then-pattern: small cohort, rich documentation, slow expansion. Opt-in by default with an easy off-ramp. Twin-pair: each twin has a named human owner who is publicly accountable for its behavior.