Map
Identify use cases, data flows, models, vendors and decision owners.
Our methods / ZECITI AI Trust™
A control boundary for enterprise AI.
Map system purpose and decision authority before extending autonomy. Connect security assessment to operating ownership, human oversight and review evidence.
Working framework
ZECITI AI Trust™
A ZECITI method for accountable technology decisions. It is not an industry standard, certification or a guarantee of outcomes.
A ZECITI assessment framework for the authority, boundaries and evidence behind enterprise AI.
Assessment sequence
A disciplined path
from scope to evidence.
The method is tailored to the mandate, existing governance and materiality of the decisions.
Bound
Define autonomy, permissions, human oversight and operating limits.
Evaluate
Review security, governance controls and evidence gaps.
Monitor
Define ongoing review, incident handling and change triggers.
Framework artifacts
A usable decision trail.
Agreed artifacts support professional judgment, ownership and follow-through.
AI system inventory
Authority and control matrix
Evidence assessment
Monitoring and review plan
Independent Design Authority
Connect the method to
the implementation.
Client decision ownership remains explicit. Review responsibilities and escalation routes are agreed in the mandate.
Evidence is assessed against agreed conditions. Exceptions have owners, review dates and a recorded basis for acceptance.
Explore our Design Authority disciplineEnterprise advisory
A critical transition.
A clear conversation.
Discuss the strategic context, the architecture decisions and the evidence needed for accountable implementation.
Start the conversation