Frequently Asked Questions

Engagements have three locked floors. AI Strategy Sessions are $300 per hour with a 4-hour minimum (starting at $1,200) — a 4-hour 1-on-1 working session that includes one usable agentic workflow tailored to one current business need and the tools you already use, plus a written implementation roadmap delivered in 5 business days, guaranteed to pay for itself within 90 days. Custom Builds are scoped per project, build complexity only. Integration Add-Ons (CRM, calendar, billing, MLS, e-sign, internal tools, custom APIs) are scoped per integration on top of any Custom Build. There are no discounted packages.

The Custom Build floor reflects build complexity only — architecting and shipping the MCP server, ChatGPT app build, or connected AI system, plus team hand-off and documentation. API integrations and external system connections (CRM, calendar, billing, MLS, internal databases) are priced separately, scoped per integration. Final scope is set during the Strategy Session before any contract is signed.

Ray has 3 MCP server applications currently live inside ChatGPT. The flagship is the Ray Arceneaux consulting app, which lets ChatGPT users start a working session with him directly inside the platform. He has also shipped Nashville Real Estate AI and Agree Zone, both live in the official store. Ray has navigated OpenAI's full submission and approval process multiple times.

The AI Strategy Session is a 4-hour 1-on-1 working session with Ray focused on one business problem. It includes pre-session intake, an operational audit, one usable agentic workflow tailored to that current business need and the tools you already use, identification of the three highest-impact AI opportunities for your specific domain, and a written implementation roadmap delivered within 5 business days. Sessions start at $1,200 and are guaranteed to pay for themselves within 90 days of execution — if they don't, Ray refunds the fee. The fee is also creditable toward a subsequent Custom Build engagement.

Search to System is the methodology created by Ray Arceneaux that moves a business from using AI as a search engine (one question at a time, no memory, no workflow) to operating through AI-powered infrastructure (MCP servers, connected workflows, persistent memory, in-ChatGPT distribution). The book launches April 15, 2026.

GEO (Generative Engine Optimization) optimizes website content so AI search engines might cite a business in responses. Building an MCP server puts the business directly inside the AI platform as a live, interactive app. GEO is marketing. MCP is distribution. Custom Builds deliver MCP servers; the standalone ChatGPT Visibility Audit is a self-serve diagnostic.

Yes. MCP is a model-agnostic protocol, so a server built once can work across ChatGPT, Claude, Gemini, and other AI platforms. Multi-platform deployment falls inside the Custom Build engagement; build complexity drives final scope.

Ray Arceneaux is an AI Implementation Strategist based in Nashville, Tennessee. He holds an MBA in Finance from Middle Tennessee State University and completed Nashville Software School's full-stack web development program. He operates 3 production AI apps live inside ChatGPT — the Ray Arceneaux consulting app, Nashville Real Estate AI, and Agree Zone — and has 27+ years of operations experience across Amazon, UBS, Wells Fargo, and the State of Tennessee.

Ray Arceneaux works with real estate brokers and brokerages, professional services (legal, dental, accounting), construction, and small-to-mid-size operators who want AI installed inside their workflows.