Enterprise private cloud / internal network
Lingda Agent Platform: build and govern enterprise AI
Turn enterprise resources and methods into reusable capabilities, then publish and manage them over time.
Discuss your requirements
Connect enterprise knowledge, systems, and working methods to AI agents that get work done.
Put your knowledge, data, and systems to work
Turn enterprise expertise into AI capabilities
Start with one use case, then expand
Describe the problem you want to solve. Through conversation, AI helps clarify requirements, plan the capabilities needed, and generate an initial agent you can refine.
Understand the business goal
Clarify the problem and the result the task should deliver.
Plan the capabilities
Identify the knowledge, data, tools, and execution steps needed.
Create the first agent
Create nodes, prompts, and initial settings, then refine them with AI.
Connect through APIs where available. Where there is no API, use interface interactions to move the task forward in your existing software.
Complete the process in the business system as you normally would.
Identify screen content, action sequences, and task rules.
Use the current screen and task state to determine and execute the next step.
Use approvals to control which agents, skills, and applications become available in your enterprise.
Determine which AI capabilities employees can see and use by organization, role, and permission.
Track changes through version and release records, with history available for review.
Review usage and execution, then improve agents based on actual results.
Enterprise private cloud / internal network
Turn enterprise resources and methods into reusable capabilities, then publish and manage them over time.
Discuss your requirementsEmployee desktop
Employees describe their goal. The workspace finds relevant capabilities, connects context, and moves the task forward.
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