Team Handovers, Deadlines, and Supplier Tracking
Demo per-request cost projection is 10 to 40 times lower than production reality. The 5 hidden dimensions: tokens, embeddings, infrastructure, evaluation, drift. The 5 patterns that keep cost predictable and the 4-layer architecture for cost discipline.
Recruitment AI agents run the 4-stage hiring pipeline (sourcing, screening, scheduling, offer prep) so recruiters and hiring managers focus on the decisions. Bias safeguards, audit trails, and human-final-decision discipline keep it defensible.
How to Hit 200ms on RAG-Grounded Responses
Single-model deployments lock you into bad tradeoffs. Multi-model routing cuts cost 60-80% on mixed workloads while improving quality on hard cases. The 4 routing strategies, 5 production patterns, 4-layer architecture, payback in 90 days.
Production AI without evaluation is production AI you hope is working. The 3 evaluation dimensions every system needs (retrieval, faithfulness, end-task accuracy), the 5 patterns that keep evaluation continuous, and the 4-layer architecture.
Your CFO will ask 5 specific questions about AI in 2027. The 4 audit artifacts that answer them and the artifact chain pipeline that turns the audit into a database query.
Most mid-market AI use cases under 100k chunks do not need a vector database. The 3 architecture patterns (in-memory, embedded, dedicated), the 5 selection criteria when you do need one, and the architecture that makes vector storage decisions reversible.
RAG and fine-tuning solve different problems but most teams treat them as interchangeable. RAG wins 85-90% of mid-market use cases; fine-tuning wins for domain language, format conformance, latency bounds. The 3 cases fine-tuning wins, 5 RAG patterns, 4-layer architecture.
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