Human-Governed AI within ai4asset Integrity Intelligence™

AI Agents Work.
Humans Govern.

AI agents support inspection, corrosion, anomaly, and integrity-planning workflows while qualified professionals retain decision authority. Embedded AI agents can retrieve information, examine evidence, validate data, identify relationships, prepare insights, support planning, and recommend next steps. Qualified people define the boundaries and remain responsible for consequential decisions.

Circular infographic showing domain-driven AI embedded across Inspection, Corrosion, Anomaly, and Integrity Planning Intelligence with Human Governance at the center

Why Governance Matters

AI can produce an answer. Integrity teams need the authority and evidence to decide whether to act.

Asset integrity decisions carry safety, operational, environmental, regulatory, and financial consequences. AI capabilities must operate within defined boundaries, use the right context, remain connected to evidence, and support—not replace—qualified judgment.

The Governance Model

Six principles that keep people in command.

01

Human authority

Qualified professionals establish boundaries, review consequential outputs, approve actions, and retain decision authority.

02

Grounded context

AI agents work with approved operator information, engineering context, standards, and applicable practices.

03

Traceable evidence

Sources and evidence remain visible so users can examine the basis of AI-agent outputs.

04

Defined boundaries

Roles, access, permitted activities, and escalation points establish where and how agents can operate.

05

Review and approval

Consequential recommendations and actions remain subject to the appropriate human review and approval.

06

Accountability

Decision history preserves the relationship between evidence, assisted reasoning, human judgment, and final action.

Embedded Across the Product

Human-Governed AI is a platform capability, not a separate product module.

AI agents can support Inspection Intelligence, Corrosion Intelligence, Anomaly Intelligence, and Integrity Planning Intelligence according to each capability's maturity and intended use.

The system does not independently approve engineering recommendations, determine fitness for service, or close safety-critical anomalies. Qualified professionals remain accountable.

AvailabilityPilot and beta

Individual AI-agent capabilities are introduced through controlled engagements according to module maturity, intended use, approved data, and required human review.

Bring AI Into Integrity Work Responsibly

Give agents meaningful work. Keep people in control.

Start with a defined workflow, approved information, clear success criteria, and the right governance controls.

Discuss a controlled pilot