Your supply chain has SOPs. Your AI workforce has AOPs.
Agent Operating Procedures are the executable playbooks that tell your Digital Workers exactly how to handle every situation: which data to gather, which intelligence to consult, which action to take, and when to escalate. Natural language flexibility with coded logic precision, powered by the Graph.

Decision trees are brittle.
Prompt engineering is fragile. AOPs are neither.

AOPs are the third option
Natural language instructions that compile into deterministic, auditable, executable logic. You describe the process. Sophie builds the procedure. Every step defined. Every decision point explicit. Every outcome traced.
Describe the process. Sophie builds the playbook. The agent follows it. The Graph informs every step.
Describe Requirement
Sophie Generates
Test & Validate
Deploy to Prod
The orchestration platform where agents operate, workflows are built, and every decision is recorded.
> [GRAPH_QUERY] The carrier is late 34% on this lane in Q4.
> [ROOT_CAUSE] is typically a facility bottleneck at origin.
> [RESOLUTION_PATH] with 78% success rate: contact dispatcher directly.
> [IMPACT] Downstream impact: 3 POs, $1.2M.
> [AGENT_ACTION] Alan has rescheduled. Cassie on standby."

Custom AOPs
Pre-built AOP Library
Tracy contacts carrier, investigates root cause, resolves or escalates. Validated across 39 production shippers.
Alan creates dock appointments based on Shipment Twin ETAs and facility capacity.
Custom AOPs
Enterprise-grade security. Full chain of custody. Your data stays yours.
One billion hours of operational work completed by AI agents over the next decade.
