AI systems / From workflow to architecture
Intelligence needs
a working system.
A model is one component. The real work is connecting the right inputs, rules, tools, and people around it.
The architecture principle
The right kind of intelligence.
In the right place.
We use AI where judgment and language are valuable, deterministic software where rules are better, and humans where accountability matters.
How we build- 01Input
- 02Data + structure
- 03Automation
- 04AI
- 05Human review
- 06Action
Applied capabilities
Start with a useful job.
Research + intelligence
Bring public sources and business information into a repeatable research workflow. Keep source references alongside model-generated summaries so people can check the reasoning.
Extraction + classification
Turn unstructured material into fields and categories. Validate required fields in software and route ambiguous results for review.
Knowledge + applications
Build AI-assisted tools around relevant information and a defined task. Give users a clear interface for searching, asking, reviewing, and acting.
Workflow + API integration
Connect applications, spreadsheets, and services. Use deterministic rules for routing, calculations, and state changes; use model inference for language and interpretation.
Human review + handoff
Decide where review belongs before building. Make uncertain outputs visible and give the accountable person a way to correct or approve them.
An explicit division of responsibility
Models interpret.
Draft, summarize, extract, and classify. Model output can be wrong and needs task-appropriate validation.
Software enforces.
Validate fields, calculate values, qualify against criteria, and route work using repeatable rules.
People decide.
Set objectives, review exceptions, and own the decisions that require accountability.
Tools in the internal DCD systems
A connected toolkit.
OpenAI · Google AI / Gemini · Google Apps Script · Google Workspace · GitHub · Netlify · APIs · Structured data
Selected for the task and the environment.
See how the components connect ↗Start with the work
What should work better?
Bring a workflow, a bottleneck, or an idea. We’ll start there.