Connect every operational system — GitHub, CRM, ERP, sensors, EHR. Drag rules onto a canvas. Predicates fire on meaningful state changes. Agent workflows respond, with full causation lineage from signal to action.
Organizations are becoming too complex for human-only coordination. The systems that should resolve this — CRM, ERP, ticketing, comms, sensors — instead create more fragmentation than they unify. The operational layer is the missing infrastructure of AI-native enterprises.
Each layer is inspectable, replayable, and self-hostable. Time-travel through any state. Replay any trigger. Audit any action. Designed for environments that cannot afford black boxes.
Every signal — from MES, IoT, ERP, CRM, ticketing — becomes a draggable source. Compose rules that fire only when signals align across systems. Actions chain off triggers, with full lineage from raw signal to outcome. Single-system tools structurally can't do this.
Halt line {lineId}: schedule hot-swap before failure window
Page maintenance lead: pre-cut work-order #{wo} attached
Same five layers, same predicate engine, same agent runtime. Only the source schemas and workflow templates change. Each domain inherits causation lineage and audit-grade governance by construction.
Sensor telemetry, MES context, and human response unified in one causation graph. From signal to action — fully traced.
WMS, TMS, ERP, and customer systems coordinate one response. Lineage from carrier event to customer message — audit-ready by default.
Every cross-system change surfaces with its full operational context. No reconstruction from log files, no orphaned audit trails.
AI proposes; humans confirm. Every autonomous decision recorded with its causation chain — explainable, auditable, governed.
Lineage is a structural property of the substrate, not a feature added on. Compliance, debuggability, and governance become byproducts of the architecture — from raw signal through predicate, workflow, and outcome.
Anthropic and OpenAI ship production-grade agent runtimes. The build-it-yourself moat is gone. Differentiation is the substrate agents coordinate over.
Modern enterprises run 50+ operational systems. Signals are abundant. What is missing is composition, causation, and coordinated response across system boundaries.
Every vertical AI product reimplements the same five layers — usually under-specified, rarely audit-grade. Done right, the substrate is shared infrastructure, not duplicated work.
Design partners shape the v1 architecture. Private workspace, weekly working sessions with the founding team, and direct input on the schema, predicate library, and workflow primitives.