Authority in force
The approved mandate, limits, conditions, and version applying when the action occurred.
Independent decision-and-execution assurance
QAi verifies whether a consequential action followed the authority in force, received the required human decision, and matches what actually executed. It identifies missing evidence and population gaps without entering the live decision path.
Out-of-path assurance · SIMBA deterministic engine · Findings, not commands
EUR 480 · 16:42:08 UTC
Complaints L2 · limit EUR 500
Decision owner recorded · 16:47:31 UTC
Payment cannot be established
Visibility across systems
Deterministic assessment
Attributable human control
Defensible evidence
The problem
One action · several systems
Authority may sit in a policy repository, the AI recommendation in an application log, human review in case management, and execution in a separate operational system. Each system shows only part of the action.
When the action is challenged, teams reconstruct the chain manually. They may know what was recommended without knowing which authority applied, who decided, or whether the intended outcome actually executed.
01Was the action permitted?
02Who made the decision?
03What actually executed?
04Is the evidence complete?
Observation completeness matters. “No action occurred” is not the same as “no action was observed.” QAi keeps that uncertainty visible at case and population level.
How QAi works
Flight recorder + evaluator
QAi establishes what happened across the workflow. SIMBA resolves the authority in force, checks evidence completeness, and evaluates the action using declared rules in a fixed order.
The approved mandate, limits, conditions, and version applying when the action occurred.
What the AI proposed or did, with its source and event time preserved.
The accountable person, role, decision, and time wherever human control was required.
Independent evidence from the system that ultimately performed the action.
Outside the live path. QAi observes and evaluates. The institution’s systems continue to recommend, decide, approve, and execute independently of QAi availability.
Examine security & deploymentWhat QAi returns
SIMBA deterministic findings
Every evaluation resolves to exactly one of four terminal states. Missing evidence is never interpreted as success, and model-assisted checks may escalate a case but cannot close it.
Complete evidence supports the action within the authority that applied.
The evidence shows that the action crossed a declared limit or condition.
A required fact is missing, so a defensible conclusion cannot be reached.
An expected action or outcome was not seen in the relevant source.
Human decision required determines who must act and what decision evidence must be recorded. It does not replace the four-state finding.
Synthetic example · REF-0427 · illustrative data
Authority and human approval were present, but no independent execution receipt was observed. QAi therefore refused to treat the overall action as complete.
The downloadable pack contains the evidence inventory, seven institutional questions, findings, declared gaps, and reviewer challenges.
Why it matters
Operational assurance
QAi should be assessed on practical outcomes: whether it reduces reconstruction effort, improves evidence coverage, identifies previously unknown gaps, and makes findings easier to reproduce and defend.
Operational value
The value is not another governance dashboard. It is a reliable connection between the decision, the applicable authority, accountable human control, and the executed result.
01Find hidden gapsSurface missing decisions, broken correlations, and unobserved outcomes.
02Reconstruct fasterBring the records for one challenged action into a coherent case.
03Review with confidenceTie each finding to the authority, evidence, limitations, and evaluation logic.
04Discover failures earlierExpose control and evidence failures before formal challenge or remediation.
Where the problem appears
Initial focus: banking. The product boundary is broader: consequential workflows where authority, human accountability, and execution evidence must remain connected.
QAi is not presented as required by a specific framework. Institutions and their advisers determine legal sufficiency. The product must earn its place through operationally useful findings and evidence.
Start with one workflow
Focused Evidence Sprint
Choose one consequential action and a defined population. Connect representative records, run the deterministic assessment, and compare the result with the institution’s current review process.
Agree the workflow, authority owner, source systems, population, and measures of value.
Map representative records, apply SIMBA, and identify incomplete or conflicting evidence.
Compare reconstruction time, coverage, manual effort, identified gaps, and reproducibility.
Start with the action and current evidence problem. Share case data only through an agreed secure channel.