Building production-grade agents for enterprise AI SaaS requires more than stitching LLM calls together.
Join a small-group conversation on the engineering patterns that actually make agents production-grade — predictable, debuggable, grounded, and economically viable.
We’ll dig into:
- Architectures + guardrails that hold under real workloads
- Grounding, evaluation, and tool-orchestration choices
- How to decide between fine-tuning and RAG for enterprise reliability
- Designing for SaaS realities: latency budgets, compliance, unit economics
Host: Preeti Shukla, CTP O @ Whimbli
20-year enterprise SaaS and AI engineering leader. Deep experience building secure, compliant, multi-tenant platforms and AI-driven systems (LLMs, RAG, agentic workflows, MLOps). Author of AI SaaS x Product Engineering and Forbes/Gartner engineering thought leader.