Ray Crutchfield
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Results, Architecture, Proven Patterns

Case Studies and Demos

Insights from real client outcomes and hands-on prototypes. Each project includes architecture, reasoning, and practical takeaways you can share with engineering and executive teams.

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AWS Serverless
Data Platform
LLM Validation
2M/mo Scale & 40% AWS Cost ↓

Scaled outbound ops from 100k → 2M contacts/month by re-platforming to serverless, layering IaC, and introducing LLM validation that removed manual QA bottlenecks.

Scale

2M/mo

Cost ↓

40%

Appointments ↑

+112%

  • +112% meetings booked after implementing LLM-powered automation
  • 2M prospects/month processed with event-driven architecture
  • 40% AWS spend reduction through rightsizing + observability
  • Enabled executive dashboard with real-time alerting and drill-through that cut decision-making time from days to hours
  • Built a fully idempotent event-driven architecture with automated retries and DLQs
  • Includes system diagram and project details
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RAG
Agentic Workflows
Policy Automation
RAG and Agentic AI Prototype

A realistic, policy-driven demonstration of an AI agent that evaluates events, retrieves context from company knowledge bases, and chooses the correct tools or actions.

Code Availability

Open-Source

Integrations

Slack / Jira

Guardrails

Schema + Policies

  • Executes actions such as posting to Slack or creating GitHub and Jira items
  • Uses company policies and procedures to decide which tool or action to take
  • Raw UI output shows tool actions, model responses, and retrieval provenance
  • Includes the sample company knowledge base so you can test retrieval quality and relevance
  • Simulates workflows such as cost anomalies, customer questions, or ticket triage