Governance
Your AI is only as useful as the record behind it.
Calculations run in tested code; inputs are traced to their source. The record stays in the institution’s hands, stored as the work happens rather than reconstructed from a model’s explanation.
The risk
Reported figure
No supporting source attached.
Missing source
Model input
Input and memo disagree.
Date mismatch
Approval path
Escalation was skipped before delivery.
Open gate
Committee memo
Unresolved work appeared final.
False certainty
A fluent answer is not a record.
Most AI systems can produce language. Institutions need provenance: what was checked, what was unresolved, and why a result was allowed into a deliverable.
The mechanism
Aperture closes the gap before delivery.
Trace
Calculations run in tested code; inputs are traced to their source. Unresolved results are shown, never hidden.
Preserve
Sources, tool calls, and agent actions remain attached to the work.
Gate
If a required check is open, delivery is blocked, whatever any model reports.
Evaluation
A model earns its role through evaluation.
Each model is tested on the role’s own tasks and runs only if it passes the role’s evaluation. A better model earns the role the same way, without rebuilding the agents.
No silent model swaps. No lost lineage. No hidden source conflicts.
Evaluated
Admitted
Recorded
What the institution keeps
Your teams make the decisions. The record behind them stays yours.
The record carries forward when you change models, clouds or vendors, within your retention rules and data licenses, and Aperture never withholds it.