What AI does: Summarises, explains, retrieves, drafts understanding.
Human role: Human interprets.
Example: Summarise account risk factors
What AI does: Summarises, explains, retrieves, drafts understanding.
Human role: Human interprets.
Example: Summarise account risk factors
What AI does: Proposes actions with reasons and confidence.
Human role: Human chooses.
Example: Recommend next best opportunity focus
What AI does: Prepares an action; executes only after approval.
Human role: Human approves or rejects.
Example: Queue CRM update; send only when approved
What AI does: Executes narrowly within explicit customer-configured policy.
Human role: Human defines policy; monitors.
Example: Auto-assign task if rules match
Autonomy is a dial, not a surprise. AI assists and recommends. It acts with your approval — or within policy you set. Humans remain accountable for outcomes.
May: assist understanding across connected data; recommend opportunities, risks, decisions; draft actions for approval; execute within a policy sandbox you set.
May not (defaults): silent irreversible changes to systems of record; unapproved customer communications; invent Value Ledger entries without sources.
EVIDENCE_PENDING: Final contractual language on foundation-model training on customer confidential data — interim: we will state the actual policy in DPA / order forms; until then we do not claim unrestricted training rights.
Not without approval or an explicit policy you set.
No silent irreversible write-back. Act-with-approval or act-within-policy only.
See /security, DPA, and subprocessors.