back_office_ops · workflow
Da2a: An Open-Source Multi-Agent Data Platform Prototype Using the A2A Collaboration Protocol
Traditional data platforms required deep technical expertise and specialized data engineering, creating bottlenecks that left business decision-makers waiting days or weeks for answers and entirely dependent on overloaded engineering teams.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User asks orchestrator
A user poses a business question directly to the root orchestrator agent.
Tools used
Da2aAgent-to-Agent (A2A) protocolAgent Development Kit
Outcome
The Da2a prototype demonstrates that a multi-agent system using the A2A protocol can answer complex cross-domain business questions by delegating sub-tasks to specialized agents, abstracting the underlying engineering complexity.
What failed first
The traditional approach required filing tickets with data engineering teams, building ETL pipelines, writing SQL queries, and waiting for reports — a slow sequential process where answers could become irrelevant before they arrived.
Grounding & classification
Source type: technical build writeup
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agentic workflowconversational aimulti agent workflowknowledge basebuilder submittedtools describedworkflow describedsoftwareemployee productivitytechnical build writeupback office opsagentic task execution