Which AI Are You Already Using?

AI Decision Trail: Silent Accumulation

AI in your organization is a natural part of how systems evolve. These tools entered your processes gradually — through incremental updates and new vendor features. It has accumulated. This created a new category of assets: Ghost Workers. These are algorithms making real-world decisions that now require a formal place in your management structure and an official owner.

AI is already deciding, but control has often been a secondary thought. As these systems become part of your daily work, a new risk emerges: AI-driven decisions operating without a clear line of accountability.

A prime example is a healthcare company currently facing lawsuits over an AI system used for claims. In court, their defense depended on one thing: traceability. To succeed, they needed clear data:

• Who approved the logic?
• Who monitored it?
• Who held responsibility for the outcomes when results began to drift?

The struggle arose because the operating model had a gap. It lacked a mechanism to link the algorithm to a specific person and reconstruct how a decision was made at any point in time. This defines your next step. It is about taking real control over the decisions AI is already making.

Three Pillars of AI Governance

In smart processes, the focus shifts from managing tasks to managing decisions. Effective oversight relies on three pillars:

Clear Ownership

Every AI model must have a business owner. Responsibility for results is documented and visible.

Evidence

Compliance with rules like the AI Act requires full traceability. Every AI decision must leave a digital footprint (Digital Passport).

Service Visibility

Mapping AI within your service model (CSDM) provides full control over what is currently running and what value it brings.

This is the new reality. An Autonomous Enterprise requires every AI activity to be known and measured. This model builds oversight directly into your daily operations.

From Ghost Workers to Governed Assets

Five components — one direction: from unknown to owned.

• 01 — AI Intake: The entry point for every AI initiative. Whether a new proposal or a vendor update, each system passes through a qualification workflow to become a registered asset with a named owner and a unique identifier.
• 02 — AI Asset Register: Verification of ownership is the prerequisite for operation. Every system is linked to a service, a process, and a risk, making its impact traceable across the organization.
• 03 — Digital AI Passport: A living record of capabilities. It defines when the system operates autonomously and when it hands back control to a human. This structured record is your primary evidence for regulators and auditors.
• 04 — Service & Data Mapping: Integration with CSDM defines which data flows through the system and which services depend on its decisions—providing essential context for impact assessments.
• 05 — AI Control Tower: The governance layer on ServiceNow. It combines workflows and monitoring into a single control point, keeping ownership and execution aligned.

From Decisions to Evidence

Traceability is now a core part of the operating model. Every decision made by a registered system is linked to an owner, a model version, and a clear scope of authority. This is a live record of your AI operations.

When auditors or legal teams require explanations, the answers are ready by design:

• Who approved the logic.
• When it was last reviewed.
• Who was responsible for the results.

This approach provides clarity before the questions are even asked. Traceability gives your organization the power to explain its decisions, forming the foundation of institutional trust. ServiceNow is the natural environment for this control, as it aligns with the workflows and data already in place.

Control That Runs Itself: Scaling the Human-in-the-Loop

As AI spreads, manual governance reaches its limits. This model uses the platform to extend the supervisor’s reach, keeping human judgment at the center:

Real-time Discovery

The AI Control Tower monitors the landscape, bringing every AI-driven decision into the light.

Dynamic Passports

Templates standardize low-risk AI, allowing scale without operational overhead.

Managed Intervention

Clear thresholds define exactly when human judgment is required.

The result is full visibility and accountability — built directly into the operating model.

The License to Act

Before deploying your next AI system, ensure you have four answers ready:

• How many AI systems are operating right now?
• Who owns each of them?
• Who is accountable for their decisions?
• Who is responsible for the outcome if they fail?

These four answers are the foundation of your control. The Digital AI Passport is where this visibility becomes operational. It is the tool that verifies the License to Act — a right that is earned through transparency.

Source: https://www.theguardian.com/us-news/2025/jan/25/health-insurers-ai