Autonomy is calibrated, not assumed.
Governance at Impact Visio is not a policy document. It is a design constraint. Before any automated workflow reaches production, it must define its autonomy level, approval routing logic, confidence thresholds, exception handling path, and audit event schema.
Governance principles
Governance is architecture
Human oversight is embedded at the workflow design level — not patched on as a compliance measure. Every system defines its autonomy level before deployment.
Every state is visible
System state is always observable. No workflow operates in a black box. Every agent action, every decision, and every output is logged and attributable.
Approval logic is declarative
Routing logic for human review is declared at configuration time — who reviews what, under what conditions, and with what escalation path.
Confidence thresholds are mandatory
Every AI output has a defined confidence threshold. Outputs below threshold are held for human review — never silently delivered to stakeholders.
Policy boundaries are enforced
Policy constraints are defined at configuration time and enforced by the control plane. No agent operates outside its declared policy boundary.
Audit trails are structural
Audit logging is not optional or addable later. It is a structural element of every workflow, producing defensible records of every decision and output.
Autonomy levels and approval matrix
Every deployed workflow is assigned an autonomy level at configuration time. Level assignment determines approval routing, monitoring requirements, and audit obligations.
Level 0 — Human-operated
AI assists in analysis and drafting. All execution is human-controlled. No autonomous actions.
AI-assisted report drafting with human editor in control of all content decisions.
Level 1 — Human-approved
AI executes analysis and generates outputs. All outputs require explicit human approval before delivery.
AI-generated competitive intelligence briefings reviewed and approved by analysts before distribution.
Level 2 — Human-monitored
AI executes within defined parameters autonomously. Human reviewers monitor outputs and retain override authority.
Automated ESG data ingestion and initial analysis, with exceptions routed for human review.
Level 3 — Human-audited
AI operates autonomously within strict policy bounds. Outputs are delivered automatically but logged for periodic human audit.
Automated KPI variance alerting within defined thresholds, with anomalies escalated for human review.
Audit infrastructure
Event schema
Every workflow defines an event schema at configuration time. All agent actions produce structured, schema-conforming audit events.
Immutable log
Audit events are written to an immutable log. No event can be deleted or modified after recording.
Output provenance
Every delivered output carries a provenance record: source data, agents involved, confidence scores, and human reviewer identity.
Override history
Every human override is logged with actor identity, timestamp, original output, and override rationale.
Policy enforcement
Policy boundary declaration
Every workflow declares its policy boundaries at configuration time — scope, constraints, and override conditions.
Runtime policy enforcement
The control plane enforces policy constraints at runtime. Any action outside policy bounds is blocked and logged as a policy event.
Confidence threshold management
Confidence thresholds are configurable per workflow and per output type. Thresholds are enforced automatically — no manual checking required.
Escalation path definition
Every workflow defines its escalation path: what triggers escalation, who receives it, and what actions are available to the escalation reviewer.
Governance by design.
Book a strategic session to explore how Impact Visio's governance architecture maps to your compliance requirements.