Agents That Learn
Across AI's Operator Agent continually compiles context, inferences, and business processes into a persistent reasoning graph, so your agents get better at running the work every time they run it.
Reasoning Graphs Turn Context to Action
- •Compiles a complex enterprise process into a network for agents
- •Encodes facts, inferences, and business processes
- •Guides agents on what to store, how to reason, and when to act
- •Automatically cascades new data through the graph, updating inferences and triggering agent actions
Connect agents to real enterprise data
A plug-and-play integrations layer that preserves permissions and scales with your stack.
Connect
Native connectors to CRM, email, calls, docs, tickets, and warehouses.
Govern
Permission-safe memory that inherits RBAC / PBAC from source systems.
Extend
Add new connectors and schemas without touching agent logic.
A control plane for agent memory and reasoning
Across AI compiles a complex enterprise process into a network of agents and determines how agents store knowledge, reason across it, and take action.
Define entities, relationships, and business processes in a reasoning graph.
Specify how inferences are computed and how facts roll up across memory.
Trigger downstream memory updates and next-best actions when new data arrives.
A reasoning graph encoding a MEDDPICC sales process, showing how new signals cascade into downstream inferences and actions.