Brand
Identity systems, production standards, vendor-ready assets, and visual infrastructure.
DCD Advisory // Selected Work
Built systems. Real problems.
DCD Advisory works across very different industries, but the pattern is consistent: understand the actual problem, design the right system, and build something that can keep working after the initial deliverable is finished.
Brand
Web
Automation
AI + Data
Flagship projects
Different environments. Same systems-first method.
These projects were intentionally selected because they prove different sides of DCD: brand systems, secure enterprise infrastructure, automation, web platforms, and analytical tooling.
[01]
Motorsports // Brand
Petty Racing Gen5
A motorsports identity translated into a flexible production system built for digital, racewear, embroidery, print, signage, trailers, merchandise, and vendor handoff.
View Case Study →
[02]
Healthcare // Infrastructure + Automation
Mindsett Mental Health
A secure healthcare operating layer connecting Google Workspace Enterprise, TherapyNotes exports, Spruce API workflows, Apps Script automation, reporting, documents, dashboards, and AI-assisted operations.
View Case Study →
[03]
Legal Research // Web + AI & Data
Lindsay Clancy Trial Intelligence
A fast-moving public court record turned into a source-linked research, publishing, evidence-intelligence, and analytical platform — with an architecture that can be adapted to other record-intensive legal matters.
View Case Study →Capabilities proven through the work
The deliverable changes. The build logic does not.
DCD is capability-first rather than package-first. A project may need one discipline or several working together. The goal is to solve the actual problem, not force the work into a predetermined service box.
Web
Websites, archives, portals, dashboards, publishing systems, and digital experiences.
Automation
Apps Script, APIs, workflows, document generation, data processing, and system integration.
AI + Data
Structured data, analysis, classification, modeling, dashboards, forecasting, and decision support.
Method
Start with the problem. Build outward from there.
The industries may change, but DCD's working method stays deliberately simple: understand, design, build, connect, and improve.
Discover
Define the mission, audience, bottlenecks, constraints, systems, and what success means.
Design
Create the visual direction, architecture, workflow, user experience, or analytical framework.
Build
Develop the actual brand, website, automation, data layer, AI tool, or operating system.
Connect
Make APIs, forms, email, files, databases, dashboards, and other systems work together.
Scale
Launch, measure, document, refine, automate further, and expand where the value is proven.
Start a project
Bring the problem. We’ll figure out what needs to be built.
You do not need to know whether the answer is a brand system, website, automation, API integration, AI tool, data layer, or a combination. Start with the outcome you need.