Detailed answer
Key answer: For most organizations, the best starting point is the LERA Execution Risk Diagnostic.
Core explanation
For most organizations, the best starting point is the LERA Execution Risk Diagnostic.
The reason is simple: an organization should not begin by purchasing a large architecture, platform, or integration project before it clearly understands where its execution risk exists.
Many companies know that they are using AI.
Far fewer know:
- which outputs remain informational;
- which outputs become proposed actions;
- which systems can execute automatically;
- where high-consequence actions occur;
- who has authority;
- who is responsible;
- which rules govern execution;
- where control may be bypassed.
The diagnostic creates this initial visibility.
A typical diagnostic may examine:
- the purpose of the AI system;
- its available tools and permissions;
- the actions it can initiate;
- the systems and people it can affect;
- current human review points;
- existing policies and rules;
- responsibility and authority structures;
- known incidents or concerns;
- planned increases in autonomy.
The result is not merely a general risk report.
The objective is to create an execution-focused view of the system.
Typical outputs may include:
- an AI action inventory;
- an initial L0–L3 context classification;
- an execution-boundary map;
- an authority and responsibility gap analysis;
- a reliability-rule gap review;
- an Allow / Block / Escalate concept table;
- priority recommendations;
- a proposed next-step roadmap.
For example, an organization may believe its AI procurement system presents moderate risk because it does not directly make payments.
The diagnostic may reveal that it can already select suppliers, change quantities, create purchase commitments, or send external confirmations.
The financial transfer is not the only execution boundary. Contractual and operational execution may have occurred earlier.
This is why diagnosis should come before architecture design.
It prevents the organization from solving the wrong problem or building controls around an incomplete system map.
After the diagnostic, the organization can decide whether it needs:
- Execution Boundary Mapping;
- a Judgment–Governance Blueprint;
- an Architecture Review;
- a pilot;
- a broader enterprise engagement.
The best first step is to identify exactly where machine-generated output is already becoming organizational action.