Smart Control compass logoTrue north for AI

Smart Control Protects the Owner of the AI Use Case.

AI incidents are investigated after they happen. Smart Control helps organisations demonstrate that appropriate governance decisions were made before AI systems are deployed and granted authority to act.

Independent
Based in NZ · Supporting organisations internationally
100%
Independent, vendor-neutral
Meaningful
Validation, not checkboxes
Founder-led
By Laurent Torlois
Why Smart Control

AI is scaling faster than ownership, validation and accountability.

As AI adoption expands, many organisations struggle to answer fundamental governance questions:

  • Who owns the activity?
  • Who validated it?
  • What evidence exists?
  • Who is accountable if something goes wrong?

Smart Control helps organisations answer those questions before they become operational, regulatory or reputational problems.

The approach

Set a bearing. Validate the heading. Keep the record.

01

Set the bearing

Identify where AI is actually being used, assess the risks involved and establish clear ownership before issues emerge.

02

Validate the heading

Define what must be validated, who is qualified to perform the validation and what evidence is required to support the outcome.

03

Keep the record

Maintain clear records of ownership, validation and accountability so decisions can be explained and defended.

In practice

How Smart Control Helps

Practical support for organisations adopting AI with confidence.

AI Use Case Assessment

Most organisations know AI is being used but cannot clearly see where. Identify AI activities, assess risk and establish visibility before governance gaps appear.

Smart Control Foundation

Define ownership, validation requirements and accountability structures so AI-supported activities can operate with clear controls.

Ongoing Assurance

AI changes. Models change. Data changes. Reassess activities periodically to make sure controls remain valid over time.

Emerging Area of Focus

Agentic AI & Personal AI Control

As AI systems evolve from generating information to taking actions on behalf of people and organisations, new governance and control challenges begin to emerge.

Questions that were once theoretical are becoming practical:

  • What authority has been delegated to the AI?
  • What requires approval?
  • Who remains accountable?
  • What evidence exists?
  • Who can stop the activity when needed?

Smart Control is actively exploring how ownership, validation, accountability and control apply to increasingly autonomous AI systems.

The same principles that support accountable AI in organisations may become equally important as AI begins acting on behalf of individuals.

Ready to Know Who Owns Your AI?

Let's identify your AI activities, establish ownership, define validation requirements and create accountability before problems emerge.

Start a conversation