Team workspaces
Founders and operators pay for Mission workspaces that manage review queues, receipts, connector governance, and follow-through across high-value work.
Trust-governed agentic work
Mission gives founders and high-stakes operators a self-driving review queue where AI prepares consequential work, but external actions graduate through evidence, receipts, and human approval boundaries.
Why this exists
Models and agent frameworks will keep getting stronger. The unresolved question is which actions they should be allowed to take, under what evidence, with what approval, rollback, and receipt.
Mission sits between capable agents and consequential work. It lets the system prepare, rank, draft, check, and learn, while preserving the human boundary where reputation, money, access, or public action is at stake.
Business model
Founders and operators pay for Mission workspaces that manage review queues, receipts, connector governance, and follow-through across high-value work.
Agent products embed action-class permissions, trust-state checks, and receipt logging before agents act.
High-touch installs are used selectively to create adoption, quotes, before-afters, and expansion. Services gravity is rejected.
Trust Graduation
Mission is the commercial implementation of a simple standard: agents should graduate into specific actions only when evidence, review history, and receipts support it.
Now building