What you are probably dealing with
Sources are read and then scattered
Dozens of sources go into one report, with the key points copied into a personal notes app. Three months later a colleague covering similar ground has to read it all again.
Citations cannot be traced
The report is written and now needs sources attributed — which means hunting for one sentence across dozens of PDFs. When it cannot be found, the claim gets softened and the report loses credibility.
AI summaries you dare not use
A general-purpose assistant summarises quickly, but you cannot see which passage it drew on or whether it invented anything. Verifying takes longer than reading would have.
Research assets belong to individuals
Curated knowledge lives on one person’s cloud drive. When they move on, three years of accumulated context moves with them.
Before and after
Before
- 1Sources opened one by one, points copied into notes
- 2Cross-document comparison done from memory and search
- 3Citations hunted down while writing
- 4Summaries drafted by a general AI but not trusted for quoting
- 5Output stored on a personal cloud drive
With AI GO
- 1Sources imported in bulk and extracted automatically
- 2Questions asked across the whole set, answers carry citations
- 3Citations trace back to the original passage
- 4Summaries and mind maps generated from the sources
- 5The research workspace lives under the company account
Modules involved
The research assistant is the core. Teams with legal or patent needs can add the judgment and patent modules.
智能筆記 · AI 研究與筆記助理
AI 驅動的多來源研究助理。支援網頁／文字來源萃取、RAG 引用問答、摘要報告、心智圖、雙主持人對談與學習卡生成。
Productivity專利事務所案件總管理系統
中小型專利商標事務所的案件總管理系統：案件卷宗、法定期限 Docketing、年費維護、收發文日誌、工時計費與請款收款一站完成。零自訂資料表，全部落在 AI GO 內建的專案、客戶、人資與會計表上。
Operations通用 · 專案管理中心
以 AI GO 內建專案模組為核心的專案全生命週期管理後台：專案組合儀表板、任務看板與工時、里程碑、專案週報、費用請款簽核、預算與實際收支分析、會議記錄。
ProductivityPlatform capabilities
Grounded answers, not invention
Web and text sources are extracted and queried via RAG, with answers tracing back to the source passage. You never get a fluent claim you cannot substantiate.
From sources to output in one place
Summary reports, mind maps and deep-dive conversations all happen in the same workspace — no shuttling material between four tools.
Findings become organisational assets
The workspace sits under the company account rather than a personal drive. When people move on the context stays, and whoever picks it up can see how it was built.
Control over sensitive material
Who can see which sources and who exported what are scoped and logged, so internal unpublished material does not have to leave in order to be useful.
Labour cost you can recover
For a three-person research or strategy team at an average loaded rate of NT$450/hour:
Reading sources and extracting key points
- Hours / month
- 40 hrs
- Hourly rate
- NT$ 450
- Recovered / month
- NT$ 18,000
Cross-document comparison and verification
- Hours / month
- 24 hrs
- Hourly rate
- NT$ 500
- Recovered / month
- NT$ 12,000
Tracing citations back to source
- Hours / month
- 14 hrs
- Hourly rate
- NT$ 420
- Recovered / month
- NT$ 5,880
Report formatting and chart preparation
- Hours / month
- 16 hrs
- Hourly rate
- NT$ 380
- Recovered / month
- NT$ 6,080
| Work replaced | Hours / month | Hourly rate | Recovered / month |
|---|---|---|---|
| Reading sources and extracting key points | 40 hrs | NT$ 450 | NT$ 18,000 |
| Cross-document comparison and verification | 24 hrs | NT$ 500 | NT$ 12,000 |
| Tracing citations back to source | 14 hrs | NT$ 420 | NT$ 5,880 |
| Report formatting and chart preparation | 16 hrs | NT$ 380 | NT$ 6,080 |
| Total | NT$ 41,960 | ||
These figures assume a typical staffing profile. Real numbers depend on your team size and process — we rerun the model with your own data during a consult.
FAQ
How is this different from just using ChatGPT?
Can AI summaries be wrong?
Can we put confidential internal material in?
Who are the judgment and patent modules for?
Further reading
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Other solutions
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