SEMANTIC INFRASTRUCTURE & AI BRIDGES — REV. 2025
Your tools are expensive. Your team is talented. But somewhere between your email, your CRM, and your ERP, data is being re-entered by hand—and that re-entry is costing you money, accuracy, and time every single day.
Every building has a foundation. Your business's foundation is its data. When that data lives in siloed systems—email inboxes, disconnected spreadsheets, a CRM that never sees your marketing leads, an ERP that doesn't know your support tickets exist—you don't have a data problem. You have a structural failure. The cracks are invisible at first: a missed follow-up, a wrong invoice amount, a report that took three hours to compile. Over time, those hairline fractures become load-bearing failures.
Information captured in one system never reaches the systems that need it. Marketing speaks one schema. Sales speaks another. Operations doesn't speak at all. The gap between them is bridged by copy-paste.
PDFs arrive via email. Someone reads them, types the numbers into a spreadsheet, emails the spreadsheet. The payload has leaked at every transfer point. Integrity degrades. No audit trail exists. No one knows what version is "true."
The same field has four names across four systems: "Client," "Account," "Customer," "Company." Your team knows which is which. Your automation doesn't. Your reports are lying to you.
This is the Manual Entry Tax: the invisible toll your business pays when data is entered more than once. It shows up in payroll hours, in reconciliation errors, in deals that slipped through because a lead never made it to the CRM. Data should be entered once. Period.
No Single Source of Truth. Multiple versions of "reality" exist across departments. Decisions are made on stale or conflicting data.
Human-mediated data transfer. Skilled employees perform repetitive, low-value, error-prone data transcription instead of mission-critical work.
Unstructured data trapped at the edge. Emails, PDFs, voicemails, and form submissions contain high-value business intelligence—but it's locked in formats no system can ingest automatically.
Brittle point-to-point connections. When you do have integrations, they're direct-mapped, fragile, and break on any schema change upstream.
I don't build chatbots. I don't build dashboards. I build Deterministic Data Pipelines—automated systems that understand the meaning of your incoming data and route it precisely to the right field in the right system, every time, without human intervention.
Think of it as a digital nervous system for your business. Signals enter at any point—a PDF, an email, a web form, a call transcript—and the infrastructure interprets, validates, and delivers that payload to your Single Source of Truth with structural integrity intact.
I use Gemini's semantic parsing layer to extract structured data from unstructured inputs, and Make.com's automation fabric to route, transform, and synchronize that data across your existing stack. No rip-and-replace. No $500K ERP migration. A bridge—built to spec, installed on your existing foundation.
I'm bridging the gap between your "Marketing Mess" and your "Source of Truth"—and making that bridge load-bearing.
| PACKAGE | DELIVERABLES | SCOPE & ENGAGEMENT | STRUCTURAL OUTCOME |
|---|---|---|---|
|
BLUEPRINT-01
THE STRUCTURAL AUDIT
Diagnostic Engagement
DIAGNOSTIC
|
|
Fixed engagement. Remote discovery sessions + async review of current toolstack. Deliverable in 5–7
business days. No ongoing commitment required.
|
You leave with a blueprint—not a sales pitch. You know exactly where your foundation is cracked, what it's
costing you, and what to fix first.
|
|
BLUEPRINT-02
THE SEMANTIC BRIDGE
Single-Flow Automation
AUTOMATION
|
|
Project-based engagement. One defined A-to-B data flow: e.g., email/PDF → CRM record, or web form → ERP
order. Timeline: 2–4 weeks depending on complexity.
|
One manual process eliminated. One human freed from re-entry. One data flow with guaranteed integrity,
full audit trail, and zero redundancy from day one.
|
|
BLUEPRINT-03
THE INTEGRATED ENTERPRISE
Fractional CAIO / CTO Partnership
PARTNERSHIP
|
|
Monthly retainer. Minimum 3-month engagement. Structured as a fractional executive relationship — I
function as your Chief AI Infrastructure Officer, without the full-time overhead.
|
A continuously evolving, enterprise-grade data nervous system. Your entire stack moves toward zero
redundancy, full integrity, and a single source of truth—permanently.
|
"I build tools that look like Excel
and perform like a skyscraper."
Most "AI consultants" learned automation last year. I've spent 25 years designing systems where precision is non-negotiable. My background is Civil Engineering and Land Surveying—fields where a 2mm error in a survey cascades into a $400,000 re-pour. I brought that discipline to enterprise web architecture, and I'm bringing it to your data infrastructure. I don't build toys. I build industrial-grade data infrastructure.
A surveyor doesn't estimate where the property line is. A structural engineer doesn't guess at load capacity. And I don't build automation that "probably works." Every pipeline I design has explicit schema contracts, defined error states, and measurable outcomes. You get a system with documented specifications—not a black box that runs until it doesn't.
The market is flooded with consultants who automate workflows with drag-and-drop tools and call it "AI strategy." That's not what I do. I operate at the architecture layer: data flow design, semantic schema mapping, payload routing logic, and systems integration. The result is infrastructure that scales, that you can audit, and that doesn't break when one upstream system changes its field name.
The first step is a Structural Audit—a precise diagnostic of where your data infrastructure is failing and what it's costing you. No pitch deck. No vague roadmap. A written engineering report with findings, fault analysis, and a remediation plan.
If your business runs on data that gets entered more than once, the audit will pay for itself in the first week.
// SCHEMA: request.type = "structural_audit" → payload.destination = "draftingdan.com"