Traditional enterprise software is organized around systems, applications, and workflows. Circuitry.ai is organized around decisions, AI Workers, Circuits, and Autonomous Journeys—so operations can adapt to context, confidence, risk, and outcomes.
Legacy applications primarily capture records and route tasks. Circuitry.ai turns each important decision into a governed, measurable capability and orchestrates AI Workers, people, and enterprise systems around the business outcome.
Work is designed around the application and the sequence of tasks people must complete.
Work is organized around decisions, outcomes, autonomy boundaries, and the best resource to act next.
The vocabulary makes the architectural shift explicit: from software people operate to intelligent capabilities that work with people and systems.
| Traditional language | Becomes | Circuitry.ai meaning |
|---|---|---|
| System | → Circuit | AI-native operating product for a business domain. A Circuit brings together persistent business objects, decisions, AI Workers, journeys, people, and integrations. |
| Application / App | → AI Worker | Specialized intelligence that performs work. Advisors answer, Analysts predict, and Agents execute. |
| Workflow | → Autonomous Journey | Persistent, event-driven orchestration. The path adapts to context, confidence, risk, outcomes, and new events. |
| Software platform | → Decision Intelligence Platform | The shared substrate beneath every Circuit. It supplies knowledge, data, governance, orchestration, integration, audit, and learning. |
| Task / business rule | → Decision Unit + Decision Circuit | Atomic, measurable decision work assembled into reusable decision systems that connect triggers to outcomes. |
| Rules engine | → Decision Controller | Governing intelligence combining objective, policy, confidence, authority, risk, and human oversight to determine what happens next. |
| Transaction record | → Business Object + Decision Record | Persistent operational state plus decision lineage. The system preserves context, evidence, actions, overrides, and outcomes. |
| Manual queue | → HITL Work Queue | Targeted human intervention. People review exceptions, high-risk decisions, approvals, and ambiguous cases rather than every transaction. |
Each layer has a distinct purpose. The platform provides the substrate. Circuits define the operating domain. Journeys orchestrate execution. AI Workers perform specialized decision work.
The shared substrate used to design, run, govern, measure, and improve intelligent operations across domains.
Foundation / substrateThe AI-native operating product for a business domain—such as Claims Circuit—containing objects, journeys, decisions, workers, controls, and integrations.
Domain operating productThe end-to-end, event-driven path work takes through a Circuit, coordinating AI Workers, people, data, and enterprise systems.
Execution over timeReusable specialized intelligence. Advisors answer and guide. Analysts score and predict. Agents plan and execute approved actions.
Digital workforceThink of the platform as the common foundation that connects and supports the active components of each Circuit. The domain changes; the shared intelligence, controls, and governance remain consistent.
A Decision Circuit is a closed-loop decision system—not a fixed sequence of tasks. It can request more information, invoke another AI Worker, branch, wait, retry, escalate to a person, or execute automatically within defined boundaries.
AI Workers can understand, predict, and prepare actions. The Decision Controller determines whether the evidence is sufficient, whether the action is allowed, and when a person must review or approve.
A workflow assumes a predetermined task sequence. An Autonomous Journey persistently listens for events, evaluates the latest context, executes the appropriate Decision Circuits, and chooses what should happen next.
| Dimension | Traditional workflow | Autonomous Journey |
|---|---|---|
| Primary design | Predetermined task sequence | Outcome-driven Decision Circuits |
| Path | Mostly fixed | Selected dynamically from context, confidence, risk, and prior outcomes |
| Triggering | Process starts and runs once | Events continuously activate the right decision over time |
| Exceptions | Manual detours or separate handling | Detected, retried, rerouted, or escalated by the Decision Controller |
| Intelligence | Rules attached to tasks | Advisors, Analysts, and Agents embedded in measurable SDUs |
| Human role | Performs most decisions and exceptions | Sets policy, approves high-risk decisions, and handles bounded exceptions |
| Measurement | Task completion and cycle time | Decision quality, autonomy, economics, and business outcomes |
| Improvement | Workflow redesign | Continuous learning from every decision and outcome |
The same Circuit can progress from assistance to higher autonomy as accuracy, trust, and value are proven. Human involvement remains explicit and governed at every level.
Advisors provide answers, evidence, and context.
Human decides + actsAdvisors and Analysts recommend a decision with confidence and rationale.
Human approves + actsThe controller prepares an Agent plan and executes after approval.
Human authorizesThe Circuit decides and acts inside defined confidence, risk, policy, and authority limits.
Human handles exceptionsThe Circuit understands, decides, acts, monitors, and learns inside its operating domain.
Human governs boundariesEach Circuit applies the same substrate and governance model to a different service domain, while sharing AI Workers, data, knowledge, integrations, and outcome measurement where appropriate.
AI-native claims operations from intake to payment, powered by Warranty Decision Intelligence and governed human oversight.
Explore the architecture →Connect service context, diagnosis, guidance, repair decisions, AI Workers, people, and enterprise systems around service outcomes.
Orchestrate part identification, applicability, availability, alternatives, fulfillment, and the operational decisions that keep repairs moving.
Understand requests, resolve what AI can handle, route bounded exceptions, and continuously improve support outcomes.
AI Workers power Decision Units. Decision Circuits connect triggers to outcomes. Domain Circuits organize intelligent operations. Autonomous Journeys run the work over time. The Decision Intelligence Platform provides the shared substrate beneath it all.