CORE AX TECHNOLOGY
AI Agent Orchestration
Coordinate goals, knowledge, tools, and workflowsso AI can perform real business tasks.
Agent execution technology that understands user requests and business goals, selects the right knowledge and tools, and plans, executes, and verifies multistep work.
ORCHESTRATION MODEL
For an agent to act,multiple execution elements must work together.
KNOWLEDGE
Select the evidence needed to decide.
Retrieve the Company Knowledge needed for the current task and use it to guide the agent's decisions and actions.
Key actions
Search Company Knowledge · Select evidence · Apply it to execution
An agent is more than a single LLM.It operates by coordinating multiple execution elements.
AGENT HARNESS
Build the framework and constraintsthat keep agents running reliably.
INSTRUCTION
Define the agent's role and behavioral standards.
Set roles, rules, and restrictions that specify the agent's goals and decision-making standards.
Key actions
Define roles · Set work standards · Apply response and execution rules
Define the agent's role and behavioral standards.
Set roles, rules, and restrictions that specify the agent's goals and decision-making standards.
Key actions
Define roles · Set work standards · Apply response and execution rules
HARNESS → ORCHESTRATION
The harness creates an environment for execution.Orchestration determines the execution flow within it.
HARNESS
Instruction · Context · Memory
Tool Contract · Guardrail · Validation
Within that execution framework
ORCHESTRATION
Plan → Select → Execute
→ Verify → Continue
EXECUTION LOOP
Understand, plan, execute,and verify the results.
02 · PLAN
Determine the steps needed to reach completion.
Rather than treating a request as a single action, break it into multiple tasks and arrange their execution order.
Key actions
Break down tasks · Set execution order · Map the path to completion
An agent does not stop at generation.It checks results and keeps execution moving.
DYNAMIC ROUTING
Even with the same agent,the execution path changes with the situation.
Query CRM
Retrieve customer information from the system.
Identify the relevant customer and retrieve the necessary details and activity history from the CRM.
Based on the goal and current state,arrange the order of knowledge and tool execution.
EXECUTION CONTROL
Before automating execution,build a structure you can control.
AUTO
The agent acts directly within permitted boundaries.
The agent executes low-risk, preauthorized tasks without separate confirmation.
Example: Internal document search · Customer information lookup · Data organization
Execute without confirmation → Return results