System of record instead of isolated lists
Inventory, risk context, legal logic, evidence, and actions stay connected per AI system instead of splitting into separate records.
AI governance system
How to tell that SimpleAct is more than a compliance register
A governance system does more than display obligations. It connects classification, actions, evidence, approvals, runtime signals, and incidents into one visible operating flow. That is the standard SimpleAct must meet.
Core message
SimpleAct should no longer look publicly like a register or export tool. The platform needs to appear as a system that connects reviews, actions, runtime signals, incidents, and evidence in operations.
Four hard criteria
What an operational governance system must deliver
The real question is not whether feature names exist. The question is whether changes, reviews, and incidents create accountable follow-up work in the same system.
Reviews and approvals with real impact
Owners, reviewers, approvers, due dates, and finalization gates control when an object can actually be approved.
Runtime and change signals create work
Monitoring signals, changes, and incidents should trigger reassessment, CAPA, or review work instead of just being noted down.
Evidence and audit chain stay visible
Evidence, open points, action state, and authority packs should not disappear outside the system.
Three real flows
What governance work looks like in SimpleAct
These flows are the public proof that SimpleAct does not stop at documentation. They show how the modules work together in day-to-day operations.
Bring a new AI system to approval
A new system moves from inventory and legal logic through the audit playbook into governance. Only there does obligation mapping become defensible approval.
Create inventory and risk context
Carry over role, review cadence, and obligations from legal logic
Work through articles, gaps, and missing evidence in the audit playbook
Secure evidence, reviewers, and approvers in governance
Control model changes and reassessment
As soon as a model, data source, or operating parameter changes, work must not stop at a change note. The follow-up work needs to stay visible in the system.
Capture the change or runtime signal
Mark reassessment and review need in the system
Update owner, due date, and evidence requirement
Only approve again with refreshed evidence
Close incidents through authority response
An incident is only closed properly when severity, CAPA, reassessment, evidence, and authority response stay logically connected.
Capture the incident with context and severity
Trigger compliance gate and CAPA
Keep missing evidence and owners visible
Secure authority pack and closure status for audit
What SimpleAct already covers today
Modules and artifacts that support the governance claim
Anyone who reads SimpleAct only as a register sees only half the platform. The operational depth comes from the way these building blocks connect.
Legal logic with review cadence and review owner
Governance with evidence register, reviewers, approvers, and FINAL gates
Audit playbook with open points, owners, due dates, and quick fixes
Incident management with CAPA, compliance gate, and authority cases
Runtime monitoring with signals, change register, and observability profiles
Assurance workflows with dataset register, bias findings, validation suites, and human oversight
API keys, webhooks, and ingestion endpoints for operational integration
SimpleAct must not only sound stronger, it must look operationally coherent
Phase 1 means making public what is already present in the product. The next step is increasing technical depth further through integrations and hard gates.
