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Leasing VIP incident — €120,000 OVERDUE resolved autonomously by VEQRA AI in 13 seconds
Inspiration
VEQRA is an existing Microsoft 365 automation platform that detects and routes enterprise incidents. But it couldn't answer the critical questions: Why did this happen? What is the financial impact? What should we do right now?
The Qwen Cloud Global AI Hackathon was the opportunity to build the intelligence layer VEQRA was missing.
What it does
VEQRA AI orchestrates three specialized AI agents that resolve a critical enterprise incident in 13 seconds:
- Memory Agent — searches historical incident database, identifies similar past cases, determines root cause with confidence score
- BI Agent — calculates financial impact, projects SLA breach risk, assigns criticality score
- Action Agent — generates structured action plan: Teams task, email to Data Owner, Power BI dashboard update
Demo scenario: A critical Leasing VIP contract (€120,000 OVERDUE) is resolved in 13 seconds with zero human intervention.
How we built it
- Orchestrator (Python) coordinates the 3 agents sequentially
- Each agent calls Qwen3-235B via Alibaba Cloud DashScope API
- Agents communicate through structured JSON outputs
- A premium HTML dashboard visualizes the analysis in real time
- Built on top of an existing Microsoft 365 operational platform
Challenges we ran into
- Designing prompts that produce consistent, structured JSON outputs across all three agents
- Keeping the total resolution time under 15 seconds
- Making the demo compelling without over-engineering the scope
Accomplishments that we're proud of
- A full multi-agent pipeline resolving a real enterprise scenario end-to-end in 13 seconds
- Every AI reasoning step is genuinely powered by Qwen3-235B via Alibaba Cloud DashScope — no mocked or hardcoded logic
- Transparent hackathon scope: what's real and what's simulated is clearly disclosed rather than overstated
What we learned
Depth beats breadth. One perfect scenario executed flawlessly is more valuable than five agents that partially work. Qwen3-235B's long-context reasoning and structured output capabilities made the multi-agent orchestration reliable and deterministic.
Hackathon Scope
The AI reasoning, multi-agent orchestration, and Alibaba Cloud Qwen API calls are fully operational. Microsoft 365 connectors (Teams, SharePoint, Power Automate) are simulated transparently for this hackathon demo. In production, each action would trigger the real workflow.
What's next for VEQRA AI
The hackathon is the official starting point of VEQRA AI's evolution.
Short term:
- Connect the real Microsoft 365 APIs (Teams, SharePoint, Power Automate)
- Replace simulated JSON data with live SharePoint incident lists
- Deploy the orchestrator on Alibaba Cloud ECS for production use
Medium term:
- Add a 4th agent: Data Steward Agent (data governance, RGPD compliance)
- Expand to all 7 business sectors already covered by VEQRA (Finance, Insurance, Logistics, SSC, ESN, Recovery, Leasing)
- Build a multi-tenant SaaS version for enterprise clients
Long term:
- VEQRA AI becomes a fully autonomous Enterprise AI Operations Platform
- Continuous learning from resolved incidents improves agent accuracy
- First paying client target: 6 months post-hackathon
From detection to operational intelligence — that is the VEQRA AI vision.
Built With
- 365
- alibaba
- automate
- bi
- cloud
- css
- dashscope
- html
- javascript
- json
- microsoft
- power
- python
- qwen3-235b
