Trust infrastructure — observability, evaluation, recourse.

Overview

An AI agent acting in your business is a new kind of actor in your control environment. It requires the equivalent of audit logs, performance reviews, and a complaints process:

• Observability — every decision and action traceable, with the inputs the agent saw, the reasoning it produced, and the outcome that followed.
• Evaluation — ongoing measurement of both agent accuracy and agent decision quality, including the decisions humans would have made differently and why.
• Recourse — defined processes for customers, employees, and regulators to challenge an agent’s action and have it reviewed by a human with authority to reverse it.

The structured record of decision traces across entities and time can become a governed context graph at the orchestration layer. In Aiger Data’s view, this record is part of the operating layer that connects enterprise context to accountable action.

Why it matters

Trust infrastructure provides the evidence needed when an agent acts on stale data, reaches an incomplete policy boundary, or misses an escalation condition. The decision trace can be reviewed, the input or boundary can be corrected, and the change can be evaluated before the agent resumes the affected action.

For boards and regulators, a decision trace makes the inputs, policy, action, and recourse path available for examination rather than reconstruction from separate systems.

Implementation requirements

Trust is last in sequence and first in load-bearing capacity. It is the layer the other three foundations are observed against. Without it, the data foundation’s quality cannot be measured in flight, decision rights cannot be checked against actual agent behavior, and the workflow redesign cannot be evaluated for the cases it routed incorrectly.

In Aiger Data’s five-level planning model, conditional autonomy requires observable decisions, defined evaluation, and a recourse path. The relevant test is what can be traced, measured, challenged, and reversed.

Capability focus

Aiger Data connects decision-trace instrumentation, evaluation framework design, recourse process definition, and context-graph implementation at the orchestration layer. Governance, risk, compliance, and operational requirements shape the evidence the infrastructure needs to retain.