🧠 Agentic AI Architecture Review

1. Executive Summary

Use Case:
Business Objective:
Why Agentic AI (vs traditional):
Expected ROI:

Success Metrics

• Accuracy:
• Cost per workflow:
• Latency SLA:

2. System Overview

High-Level Description:
Key Components:
Data Flow Summary:
Control Flow Summary:

3. Control Plane & Orchestration

Design

• Orchestrator:
• Workflow Definition:
• State Management:

Checklist

• ☐ Deterministic workflow defined
• ☐ Plan → Execute → Validate loop
• ☐ Retry / timeout / compensation logic
• ☐ Human-in-the-loop supported

Risks / Gaps

4. Agent Design

Agent Types

• Planner:
• Tool Selector:
• Validator:
• Memory Agent:
• Others:

Checklist

• ☐ Single-responsibility agents
• ☐ No hidden state
• ☐ Clear separation of concerns

Risks / Gaps

5. Tool / Execution Layer

Tool Definitions

Checklist

• ☐ Schema-defined tools
• ☐ Deterministic behavior
• ☐ Error handling defined

Risks / Gaps

6. LLM Strategy

Details

• Model(s):
• Use Cases:
• Prompt Strategy:
• Fallback Strategy:

Checklist

• ☐ LLM used only for reasoning
• ☐ Prompt versioning
• ☐ Guardrails implemented

Risks / Gaps

7. Memory Architecture

Memory Types

• Short-term:
• Semantic (vector):
• Structured:
• Event:

Checklist

• ☐ Memory types separated
• ☐ Versioning implemented
• ☐ Validated writes

Risks / Gaps

8. Knowledge / RAG Layer

Design

• Data Sources:
• Ingestion Pipeline:
• Chunking Strategy:
• Retrieval Approach:

Checklist

• ☐ Metadata tagging
• ☐ Access control
• ☐ Context-aware retrieval

Risks / Gaps

9. Observability & Cost Tracking

Metrics

• Token usage:
• Cost per workflow:
• Latency:
• Tool usage:
• Decision trace:

Checklist

• ☐ End-to-end traceability
• ☐ Cost attribution
• ☐ Monitoring dashboards

Risks / Gaps

10. Cost Governance

Controls

• Budget per workflow:
• Budget per agent:
• Termination rules:

Checklist

• ☐ Cost guardrails
• ☐ Alerting

Risks / Gaps

11. Security & Access Control

Design

• IAM model:
• Secrets management:
• Data isolation:

Checklist

• ☐ Least privilege
• ☐ Tool-level permissions
• ☐ No shared credentials

Risks / Gaps

12. Governance & Safety

Controls

• Output validation:
• Policy enforcement:
• Prompt injection protection:
• Audit logs:

Checklist

• ☐ Validation before execution
• ☐ Central policy enforcement
• ☐ Audit trail

Risks / Gaps

13. Failure Handling & Resilience

Scenarios

• LLM failure:
• Tool failure:
• Validation failure:
• Timeout:

Checklist

• ☐ Retry strategy
• ☐ Dead-letter queues
• ☐ Fallback paths

Risks / Gaps

14. Scalability & Performance

Design

• Async processing:
• Queue usage:
• Auto-scaling:

Checklist

• ☐ Async-first
• ☐ Horizontal scaling
• ☐ No blocking bottlenecks

Risks / Gaps

15. Debuggability & Replayability

Capabilities

• Workflow replay:
• State storage:
• Decision trace:

Checklist

• ☐ Replay supported
• ☐ Intermediate states stored
• ☐ Debug tooling

Risks / Gaps

16. Human-in-the-Loop (HITL)

Design

• Approval checkpoints:
• Override capability:
• UI/dashboard:

Checklist

• ☐ HITL for critical flows
• ☐ Clear escalation

Risks / Gaps

17. Testing Strategy

Coverage

• Unit tests:
• Integration tests:
• Prompt regression:
• Load tests:

Checklist

• ☐ Automated testing
• ☐ Reproducible scenarios

Risks / Gaps

18. Versioning & Change Management

Versioning

• Prompts:
• Agents:
• Tools:
• Workflows:

Checklist

• ☐ Version control
• ☐ Rollback strategy

Risks / Gaps

19. Multi-Tenancy (If Applicable)

Design

• Tenant isolation:
• Data separation:
• Cost attribution:

Checklist

• ☐ Strong isolation
• ☐ No data leakage

Risks / Gaps

20. SLA / SLO

• Latency:
• Accuracy:
• Cost:
• Availability:

21. Final Risk Summary

22. Architecture Decision

• ☐ Approved
• ☐ Approved with Conditions
• ☐ Rejected

Comments / Conditions

Reviewer Sign-Off

• Architect:
• Security:
• Platform:
• Business Owner:

Final Sanity Check

• ☐ Can we explain every decision?
• ☐ Can we measure cost per workflow?
• ☐ Can we replay failures?
• ☐ Can we override decisions?