AI Architecture Review — Production Readiness with Rakesh Khanduja

Review your AI architecture before you ship it.

Building an AI application, RAG system, agent, or enterprise AI platform? Let’s review the architecture and identify the gaps before they become expensive production problems.

We’ll review:

1. AI/LLM and agent architecture
2. Data, RAG and context design
3. Integrations, APIs and enterprise systems
4. Scalability, reliability and performance
5. Security, governance and access control
6. Observability, evaluation and operational readiness
7. Cost and architecture trade-offs

You’ll leave with:

1. Key architectural risks and gaps
2. Recommended architecture and design patterns
3. Prioritized improvements
4. Clear next steps toward production

Bring: Your architecture diagram, problem statement, current design, or simply the challenge you're trying to solve.

Best for: Founders, AI engineers, developers, architects and technology leaders.