A Configurable Operational
Runtime Platform
Not a form builder. Not a PDF tool. Not a simple automation product. A canonical runtime platform where organizations design, orchestrate, govern, and evolve operational workflows through configuration — not code.
How the Runtime Works
Canonical Runtime Layer
Operational meaning, not just data transport
The canonical runtime layer sits between your input sources and output targets. Every form, API payload, or online intake maps into a canonical operational model — meaning your business concepts, not just field names. From there, any output can be projected without custom code.
- Field-level mapping with transformation support
- Enrichment from external APIs (e.g. NAICS, geocoding)
- Canonical schema versioning and migration
- Multi-form canonical merging
Workflow Composition
Configuration-driven operational orchestration
Workflows are assembled from composable primitives — API calls, approvals, branches, AI actions, notifications, retries, and document generation. No engineering is required to create, deploy, or evolve them. Changes are version-controlled and audited.
- Visual drag-and-drop workflow builder
- Business rule-driven branching
- Retry and error handling primitives
- Approval and review step insertion
Dynamic Form Generation
Online intake from canonical schema
Upload any PDF form and the platform auto-generates a canonical schema. From that schema, a dynamic online intake form is generated — with configurable questions, validation, and ordering. No form building required.
- PDF field detection and canonical mapping
- Dynamic question generation from schema
- Drag-and-drop question ordering
- Conditional field visibility
Multi-Tenant Governance
Enterprise isolation and operational control
Each tenant gets its own subdomain, runtime configuration, RBAC policies, and publishing workflow. Operational changes go through a staging → review → publish pipeline. Every action is audit-logged with full payload tracing.
- Subdomain-scoped runtime isolation
- Role-based access control (RBAC)
- Staging and publishing pipeline
- Immutable audit log
Operational Observability
Execution tracing and runtime diagnostics
Every workflow execution is instrumented — execution timeline, step-level durations, payload snapshots at each stage, retry history, and runtime diagnostics. Operational teams can diagnose issues without engineering involvement.
- Step-level execution timeline
- Payload tracing at every stage
- Retry history and error classification
- Runtime diagnostics for operations teams
AI-Native Runtime
AI-assisted operational infrastructure
AI capabilities are integrated into the runtime layer — not bolted on. AI can generate canonical mappings, build workflow configurations, normalize incoming data, and suggest rules — all operating against the canonical context your operations team has established.
- AI-generated canonical field mappings
- AI workflow configuration suggestions
- Intelligent data normalization
- Canonical-context-aware AI actions
Ready to own your operational runtime?
Start configuring workflows your operations team can build, deploy, and evolve — without engineering.