aaf-architecture-review

To perform an architecture review for an autonomous agent, systematically evaluate its design against framework pillars like Security, Reliability, Cost, Operations, Performance, Sustainability, Context, and Autonomy to ensure pre-production readiness.

An agentic architecture framework provides a structured approach for designing agentic AI systems, needed when you must ensure safety, reliability, and efficiency while balancing system autonomy and governance.

Define an autonomy declaration and authority model during design-time specification by documenting the agent's permitted actions, tool governance, budgets, context policies, and failure escalation plans.

Yes, you can safely scale agent autonomy by applying a maturity model that progressively adjusts authority models and outcome specifications based on architecture review assessments.

The best way to assess risk and establish tool governance is to conduct design-time reviews that specify authority limits, define context policies, and map out failure and escalation plans.

Limitations of applying an agentic architecture framework include the overhead of maintaining comprehensive design-time specifications and the complexity of continuously aligning eight review pillars with evolving governance requirements.