Service
AI Agent Development
Develop governed AI agents for enterprise workflows, knowledge retrieval, and data-query scenarios.
Business Outcome
Bring AI agents into real business processes with permission, logging, and continuous improvement.
Typical Challenges
- AI pilots are hard to operationalize
- Tool calling is difficult to govern
- Business workflows lack intelligent assistance
- Results lack auditability
Solution Capabilities
- Agent requirement modeling
- Tool calling
- Permission control
- Workflow integration
- Evaluation
Industries
Architecture
Reference Architecture
Break business inputs, core capabilities, governance, and user entry points into an implementable structure.
01
Business systems, documents, databases, and third-party platforms form the input layer.
02
Agent requirement modeling, Tool calling, Permission control form the core capability layer.
03
Access control, audit logs, monitoring, backup, and security policies form the enterprise governance layer.
04
Users access the capability through portals, workbenches, APIs, or automated workflows.
Scenarios
- Scenarios that need to solve: AI pilots are hard to operationalize.
- Scenarios that need to solve: Tool calling is difficult to govern.
- Scenarios that need to solve: Business workflows lack intelligent assistance.
- Scenarios that need to solve: Results lack auditability.
- Project-based digitalization in Manufacturing, Pharmaceutical distribution, Finance and related industries.
Implementation Process
- 1Clarify business goals and interview stakeholders
- 2Inventory systems, data, permissions, and risks
- 3Design target architecture and implementation roadmap
- 4Validate core capabilities through a pilot
- 5Deliver phased development, integration, and testing
- 6Launch, hand over operations, and continue optimization
FAQ
Who is AI Agent Development for?
AI Agent Development is suitable for organizations that already have business systems, data assets, or process governance needs and want better efficiency, control, and maintainability.
How does a project usually start?
Projects usually start with business interviews, system inventory, and risk assessment, then move through pilot validation, core capability build-out, and continuous operations.
How is enterprise control maintained?
Tongfu includes permissions, logs, data boundaries, backup and recovery, and delivery documentation in the implementation process.
Technology Stack
Related Cases
Related Cases
Understand how this service connects with real business scenarios.
Manufacturing
UAES Knowledge Management Platform
Knowledge management platform for an automotive electronics manufacturer, improving retrieval and sharing of quality, process, and R&D materials.
Pharmaceutical distribution
Sinopharm Knowledge Portal
Industry summary for pharmaceutical distribution knowledge portals, document digitization, and supply-chain knowledge reuse.
Move AI agents from pilot to governed workflow
Share your agent workflow or tool integration scenario. We can help define scope, guardrails, and delivery steps.