Governance Overview
Govern AI accounting intelligence across sources, systems, decisions and change.
ZoikoLogia™ with Kriton™ brings source authority, professional boundaries, quality gates, human review, attributable continuity, release control and event oversight into one governed operating model.
Source authority
Answers trace to authoritative, applicable sources.
Professional standards
Work is held to accounting and audit standards.
Quality gates
Evaluations run across retrieval, reasoning and output.
Evidence continuity
An append-only trail follows every step.
Release control
Every change is gated before and after deployment.
Governance architecture
Governance extends across the complete AI-enabled accounting workflow
How control layers address every object that can influence an AI-enabled accounting outcome — from the use case itself to the evidence record created after it completes.
Nine governed control zones
Each zone carries its own controls, evidence and the decisions people must make.
Operating lifecycle
Ten governance stages from use-case intake through retirement
Every use case passes through a controlled lifecycle. Classification, design, validation, approval, staged release, operation, response, recalibration and retirement are all evidence-bound stages.
Intake
Classify
Design
Validate
Configure
Evaluate
Approve
Deploy
Monitor
Retire
Governed intake
Use case, class, authority and permitted use are established before any work begins.
Controlled retirement
Is the proposal sufficiently defined to advance? Use cases retire under review.
Authorization model
What the platform may do — and what qualified humans must decide
Use-case classification
Suggest a class from intake signals.
Confirm the class and its authorization.
Least privilege by default
Source validation
Check authority and applicability.
Approve authority, applicability and permitted use.
Authoritative sources only
Evaluation cadence
Run evaluations and surface findings.
Set thresholds and accept results.
Evaluation before release
Production release
Stage a release with the change.
Approve release or reject with delegated review.
Gated change control
Consequential action
Prepare a proposal with context.
Review and authorize where professional, financial, legal or operational consequence exists.
Human control for consequence
Feedback capture
Record and route feedback.
Decide what becomes a control change.
Attributable evidence
Professional judgment
Summarize and cite the basis.
Reach the accounting, tax, audit or reporting conclusion.
Professional standards
Governance destinations
Eight governance destinations — each answers a distinct control question
Governance overview
How does governance hold together end to end?
Quality & testing
→How is quality evaluated before release?
Responsible AI
→Which principles guide development and use?
Privacy & security
→How is data minimized, masked and protected?
Evidence & audit
→What is recorded, and can it be trusted?
Release & change
→How do changes reach production safely?
Access & roles
→Who can see and do what, and why?
Incident response
→What happens when a control fails?
Domain overview
Seven governance domains — each with its key controls and evidence cue
Source authority
Start with authority, applicability and provenance — not fluent output.
A source is usable only when its authority, scope, jurisdiction and effective period are established. A citation does not itself prove professional sufficiency or legal applicability.
- Authority and applicability are checked before use.
- Effective dates and jurisdiction are recorded.
- Provenance travels with the answer.
AI safety
Harmful, insecure and prohibited uses are anticipated before they occur.
The platform applies use restrictions and can refuse or escalate requests that conflict with approved policies. Prompt-injection defenses, source separation and least-privilege access are enforced by design.
- Prohibited uses are blocked or escalated.
- Injected content is isolated from instructions.
- Access stays scoped to the task.
Platform limits & escalation
When evidence, permissions or professional sufficiency is inadequate, the platform says so.
Insufficient evidence, conflicting authority, stale material, unsupported jurisdictions and inadequate integration produce an explicit answer — not silent failure or fabricated support. All then cleanly route to a human reviewer.
- Gaps are stated, not filled.
- Escalation reaches a named reviewer.
- The path forward is explicit.
Quality & evaluation
Quality is evaluated across sources, retrieval, calculations and workflow.
Evaluation covers source access and citation quality, retrieval and calculation traceability, and workflow actions. Adverse or borderline results route to review, and the standard holds across releases.
- Retrieval and math are traceable.
- Borderline results are reviewed.
- The bar holds release to release.
Release & change
Every production change passes defined gates before and after deployment.
Scope and impact assessment, evaluation, governance review and readiness review precede deployment; post-release monitoring, reconciliation and rollback follow it. A failing gate stops the release.
- Gates precede and follow deployment.
- Monitoring watches for regressions.
- Rollback is always available.
Event management
Incidents and control failures are handled through a seven-stage structured response.
Detection, triage, containment, investigation, remediation, recovery and closure are sequenced and evidence-bound. Serious matters are coordinated with legal, privacy, security and communications.
- A defined sequence, every time.
- Evidence is bound to the incident.
- Serious events are coordinated.
Responsible AI
Eight principles guide development, deployment and use.
Accountability, source authority, professional boundaries, privacy and security, transparency, safety and reliability, fair and appropriate use, and continuous governance operationalise how the platform is built and run.
- Principles are enforced, not aspirational.
- They cover build and run.
- Governance is continuous.
Public governance artifacts
Every public artifact carries scope, version, as-of date and owner.
Synthetic governance scenarios
How the governance system behaves across representative accounting and AI risk situations
New accounting policy moved to a use case+
Classified, sourced and gated before it can inform output.
Model or provider version change+
Re-evaluated through the change gates before release.
Prompt injection through shared material+
Isolated at the boundary; instructions are not executed.
Corporate action with material impact+
Held for human authorization as a consequential action.
External advisor needs access+
Granted a scoped, time-boxed, revocable role.
Frequently asked
Common governance questions — with scope and boundaries.
Answers are intentionally bounded: they say what the controls cover, where a person decides, and what governance guarantees — and does not.
What does governance cover?+
The full path from use-case intake to retirement — sources, reasoning, review, approval, write-back, evidence and monitoring.
Is ZoikoLogia™ a fully autonomous accounting system?+
No. It reasons and proposes; qualified people decide anything with professional, financial, legal or operational consequence.
Does governance guarantee that every answer is correct?+
It guarantees controls, evidence and escalation — not omniscience. Where sufficiency is inadequate, the platform says so.
How are new sources approved?+
By establishing authority, applicability, jurisdiction and effective period before the source can inform any output.
Can we see and export the evidence?+
Yes. Every governed action is written to an append-only ledger that is attributable and exportable for audit.
How are model or prompt changes controlled?+
They pass the change gates — re-evaluation, governance review and readiness review — before reaching production.
Can customers configure governance?+
Thresholds, roles, permitted uses and escalation paths are configurable within the platform's control standards.