Technology Vision
Build the Infrastructure Once. Use It Thousands of Times.
Business formation is a repeatable process wrapped in fifty-one sets of rules. The proposed architecture separates the repeatable part from the jurisdiction-specific part — so expansion becomes a configuration problem instead of a hiring problem.
Architecture
The State Adapter Model
Customer
AI Business Formation Assistant
Conversational onboarding and guidance
Formation Orchestration Engine
Shared workflow logic for every state
State Adapter Layer
One adapter per jurisdiction
Not all states provide APIs. Each adapter would use the method that jurisdiction supports — an official API where available, official databases or bulk data, permitted automated workflows, or human-assisted submission.
Core Systems
The Engines Behind the Platform
Name Availability Engine
Checks proposed business names using each state's available method.
Formation Engine
State-specific formation workflows, requirements, and document sets.
EIN Engine
Guided EIN workflow with human review for unusual situations.
Registered Agent Engine
Agent assignment, service of process, and notice routing.
Mailing Address Engine
Business mail intake, scanning, and delivery to the dashboard.
Document Engine
Automated generation, versioning, and storage of formation documents.
Payment Engine
State filing fees, service fees, and subscription billing.
Compliance Engine
Annual reports, renewals, and deadline tracking per jurisdiction.
Notification Engine
Real-time status updates for customers and operators.
Human Exception Queue
Structured operations workflow for anything automation cannot finish.
Customer Dashboard
One place for documents, status, mail, notices, and renewals.
Admin & Operations Console
Internal tooling for fulfillment, review, and quality control.
Automation Philosophy
Automate the Normal.Escalate the Exceptional.
Automated Path
Structured request
Validation and document generation
Submission via supported method
Status tracking and completion
Exception Path
Rejected filing or unusual case
Operations queue with full context
Experienced human resolution
Customer updated and workflow resumed
Technology Shouldn't Eliminate Expertise.It Should Multiply It.
Sequencing
How the Platform Would Be Built
Phase 1
Wyoming End to End
Automate one jurisdiction completely, using existing expertise as the specification.
Phase 2
Customer Experience
Ship the AI assistant, dashboard, notifications, and document delivery.
Phase 3
Normalize the Core
Separate shared orchestration logic from state-specific behavior.
Phase 4
Second and Third States
Prove the adapter model on jurisdictions with different requirements.
Phase 5
National Coverage
Expand adapter by adapter toward 50 states and Washington, D.C.
Phase 6
Embedded Formation API
A future opportunity to let partners offer formation inside their own products.