// preliminary ai-readiness map
AI Can’t Use Data It Can’t Reach
Pick one operational question you wish AI could answer. We'll generate a preliminary AI Data Access Blueprint showing where the initiative is likely to stall: data access, legacy systems, governance, or ownership.
$5,000 audit fee credited back if you hire The Mad Botter for the implementation.
~/operations - ai-data-access
> ask_ai("which jobs are at risk of shipping late?")
x ERROR: source of record = legacy_erp.dbf
x no API. no schema. no access layer. no audit trail.
> generate_blueprint --preliminary
+ likely systems mapped
+ access blockers identified
+ governance boundary flagged
+ next step scoped
Most AI pilots do not fail because the model is bad. They fail because the useful answers live in systems that were never designed to be queried by an AI agent. The paid audit validates the access path, and the $5,000 fee is credited back if you move forward with The Mad Botter for implementation.
// generate blueprint
Map the access problem before buying another AI tool.
// what this leads to
The $5k audit validates the map, then credits back into implementation.
The AI-Ready Data Audit turns a self-reported blueprint into a one-week engineering plan: Data Exposure Map, MCP Server Spec, Governance & Access Model, and Build Estimate & Roadmap. If you hire The Mad Botter for the implementation, the $5,000 audit fee is credited back toward the build.
// faq
Blueprint & audit — straight answers
What is the AI Data Access Blueprint?
A free self-assessment that maps where your AI initiative will stall — data access, legacy systems, governance, or ownership — and returns a preliminary blueprint by email in minutes.
What is the difference between the free Blueprint and the $5,000 audit?
The Blueprint is a free preliminary map you generate yourself. The AI-Ready Data Audit is a five-day, $5,000 engineering engagement that validates it against your real systems and delivers a Data Exposure Map, MCP Server Spec, Governance & Access Model, and Build Estimate & Roadmap.
Is the $5,000 audit fee refundable?
It is credited. The full $5,000 is applied toward implementation if you hire The Mad Botter to build.
Do we have to rip out our legacy systems?
No. We expose them through governed, read-only access layers — no rip-and-replace, no big-bang migration, and no downtime on the systems your operation depends on.
Why do most AI pilots fail?
Not because the model is bad — because the useful answers live in systems that were never designed to be queried by an AI agent. The audit validates that access path before you spend on a build.