Typical Application Scenarios
- Enterprise Process Automation
Case: Expense Reimbursement Process in Multinational Enterprises
- Document Recognition Intelligence (processing of scanned documents)
- Compliance Check Intelligentsia (Review Policy)
- Payment Execution Intelligence (interfacing with financial systems)
Automated data flow through A2A, compressing the original 3-day process to 2 hours - Customer Service Matrix
Architecture Example:
1. Speech intelligences handle call-to-text
2. Work order intelligences extract key information
3. Knowledge base intelligences provide solutions
4. Outbound intelligences perform callbacks
Special Value Scenarios
- hybrid cloud environment: Orchestrate intelligence for local deployments and cloud services
2. Legacy system modifications: Packaging A2A interface for legacy ERP/MES systems
3. emergency response: Rapidly combine security analytics intelligence from different vendors
Implementation of recommendations
Recommendations start with 'Clarifying Process Boundaries':
1. Mapping of manual work points in existing business processes
2. Identifying links that require cross-system collaboration
3. Designing intelligent body responsibilities for each link
4. Define the data exchange format using A2A's Task object
This answer comes from the articleA2A: Google releases open protocol for communication between AI intelligencesThe
May not be reproduced without permission:AI productivity tools " What application scenarios is the A2A protocol best suited for in real-world business?
