Multinational multilingual meeting assistant
Real-time interpretation + minutes + action-item dispatch.
Evidence notice: cases, figures and inferred project metadata are unverified scenario illustrations, not established client outcomes, credentials or return promises. Signed contracts define scope, fees, baselines, acceptance and data responsibilities; client business data stays off-chain.
1. Project Overview
- Customer type
- Multinational Mid-to-large enterprise office
- Project duration
- 12–20 weeks
- Tech stack
- Knowledge / RAG · RPA / workflow
- Deployment
- Hybrid cloud
2. Business Context & Pain Points
The customer is a Global / Multinational player in Enterprise Office, with the core pain concentrated in "Knowledge & Q&A". Manual workflows and point tools could not scale or stay consistent, driving up response time, operating cost and compliance risk. This project delivered an end-to-end AI upgrade for that workflow.
3. Solution
Anchored on "AI + Office & Collaboration", Global AI DAO integrated the following capability stack into a single solution:
- Knowledge / RAG —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
- RPA / workflow —— Wired into the critical business path across ingestion, inference and human-in-the-loop collaboration.
- Deployment: Hybrid cloud, balancing data compliance, performance SLA and operability.
4. Quantified Outcomes (Before vs After)
| Metric | Before | After | Delta |
|---|---|---|---|
| meeting length | 100% | 72% | -28% |
Source metric: -28% meeting length, minutes delivered live.
5. Specs & Fit
| Best for | Departments / SMEs / group office |
| Core capabilities | Copilot / NL analytics / contract review / knowledge Q&A |
| Deployment | Cloud / private deployment |
| Integrations | Office / WPS / WeCom / DingTalk / Feishu |
| Pricing | Per-seat + tiered tokens |