Skip to content

Architecture gallery

Enterprise AI & cloud patterns, explained honestly

The conversation has moved on from “can AI do this” to “can we trust it in production.” The hard problems now are grounding answers in real sources, deciding how much autonomy an agent should have, evaluating a system that is non-deterministic by design, and doing all of it without a runaway cloud bill. These are the patterns I keep coming back to for exactly those problems.

Each one covers the request flow, why each component is there, the alternatives, and when not to use it. Start with Enterprise RAG for the interactive walkthrough.

Showing 7 items.

Advanced·Cloud-agnosticInteractive

Enterprise RAG Architecture

Answer employee or customer questions from internal knowledge, with citations and no hallucinated advice.

Vector SearchEmbeddingsLLMOrchestration
Explore architecture
Advanced·Cloud-agnostic

Agentic AI Workflow

Multi-step tasks where the path isn't known in advance: research, triage, or orchestration across systems.

LLMTool callingOrchestrationState store
Explore architecture
Advanced·AWS

Governed Multi-Agent Review

High-stakes drafting where a confident wrong answer is a liability: security questionnaires, compliance responses, contract review.

Retrieval agentDrafting agentCritic agentHuman approval
Explore architecture
Foundational·Cloud-agnostic

Human-in-the-Loop AI

Any workflow where a wrong automated action is expensive: customer communications, financial actions, clinical or legal support.

AI modelReview UIConfidence routingAudit log
Explore architecture
Intermediate·AWS

Event-Driven Document Processing

Ingesting and enriching documents (contracts, invoices, uploads) at unpredictable volume without standing infrastructure.

S3LambdaSQSTextract
Explore architecture
Intermediate·Cloud-agnostic

Real-Time Streaming Analytics

Operational dashboards, anomaly detection, and alerting where minutes-old data is already too old.

Kafka / KinesisStream processorReal-time storeDashboard
Explore architecture
Intermediate·Snowflake

Snowflake-Native AI Application

Enterprise AI on governed data that shouldn't leave the platform: internal assistants, NL-to-SQL, in-database scoring.

Cortex AICortex SearchSemantic ViewsSnowflake ML
Explore architecture