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AI GO
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AI for Media and Agencies

One project means managing the client, the production schedule, publishing and the wrap report all at once. AI GO runs pitch through to close-out on one system, so production teams stop reconciling progress across five spreadsheets.

One thread
pitch to close-out on one dataset
Visible
every live project at a glance
Generated
wrap reports from fields already captured

What you are probably dealing with

A spreadsheet per project

Client details, production schedule, asset versions and billing each get their own sheet. Run five projects and that is twenty sheets, with nobody sure which one was last updated.

Progress only surfaces in meetings

Which stage the copy reached, who is revising the assets, whether client feedback arrived — synced verbally at the weekly. Something stalls for three days and the weekly is where you find out.

Assets named however people feel

final, final2, actually-final. Files spread across cloud storage and personal machines, and when the client asks which version is live, nobody will commit to an answer.

Wrap reports rebuilt every time

Impressions, engagement, attendance and satisfaction all sit on different platforms. Close-out means a day or two of manual assembly, in a slightly different format each time.

Before and after

Before

  1. 1A fresh set of spreadsheets per project
  2. 2Progress synced verbally at the weekly meeting
  3. 3Asset versions named and stored ad hoc
  4. 4Client feedback scattered across email and chat
  5. 5Wrap reports assembled by hand over one to two days

With AI GO

  1. 1Projects cloned from a template with fixed fields
  2. 2Progress visible live — a stall shows the same day
  3. 3Assets and versions consolidated and traceable
  4. 4Client feedback enters the system against specific items
  5. 5Wrap reports generated from fields already captured

Modules involved

Project and campaign management is the core; client relationships and document versioning can be added as the team grows.

活動管理與報名後台

以發布者視角經營活動：建立活動頁、開放報名與現場報到、來賓名單與來源歸因、活動收支損益、內容與社群排程、行前通知發送。

Productivity

公文信函管理中心

公文與信函的收發、承辦、簽核與歸檔中心。支援手機拍照或本機掃描檔上傳、文號自動編派、承辦看板、合約到期提醒與受控文件版本管制。

Operations

通用 · AI GO 自訂管理監控中台

跨部門的營運管理中樞：直接接上 AI GO 既有的專案、任務、簽核、公告、人資、客戶與帳務資料，把管理專案、治理閘門、行動追蹤、簽核監控、資料品質稽核與系統維運集中在同一個工作台，全程零自建資料表。

Operations
Browse all modules

Platform capabilities

Every project visible at once

Stage, owner and blocker for each project on one board. No waiting for the weekly, and no going project by project asking.

Built around your production flow

Every agency has its own gates — first draft, internal review, client review, publish. No need to adopt a packaged tool’s stage names.

Asset versions leave a trail

Which version the client approved, who changed what and when, all in the system. Filenames stop being the source of truth.

Close-out is not a rebuild

Campaign and project data enters the system as work happens, so the wrap report is produced rather than transcribed back from each platform.

Labour cost you can recover

For an eight-person media team running five concurrent projects at an average loaded rate of NT$380/hour:

Assembling wrap reports

About 8 hours per project

Hours / month
40 hrs
Hourly rate
NT$ 380
Recovered / month
NT$ 15,200

Progress syncing and status meetings

Hours / month
32 hrs
Hourly rate
NT$ 420
Recovered / month
NT$ 13,440

Asset version management and searching

Hours / month
22 hrs
Hourly rate
NT$ 350
Recovered / month
NT$ 7,700

Collating and routing client feedback

Hours / month
18 hrs
Hourly rate
NT$ 380
Recovered / month
NT$ 6,840
TotalNT$ 43,180

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

We already use Notion or Trello. Do we switch?
It depends where you are stuck. General project tools manage tasks well but not data — client records, costs, asset versions and close-out figures still live elsewhere, and that is where most media teams actually hurt. Keep tasks where they are, bring the data layer across, then reassess.
Can clients see progress themselves?
Yes, with scoping. Clients see external-facing stages and items awaiting their approval; internal hours, costs and review comments stay hidden. Layered access is a platform capability, so there is no need to build a separate client-facing system.
Our asset files are large. Can the system hold them?
The usual approach is to leave the files themselves in your existing cloud storage and let the system manage version records, approval state and relationships. Large files never move, and the real problem — which version is correct — is still solved.
How long does adoption take?
Templates work out of the box; you can put a live project through on day one. Connecting existing client or finance systems is handled by a Forward Deployed Engineer, usually in weeks. Run one project through a full cycle before rolling out widely.

Further reading

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AI 報價單自動化：讓業務告別手動填表，報價速度快 10 倍

台灣中小企業業務每天花 2～3 小時手動填寫報價單，AI 報價單自動化可將這個流程縮短到 5 分鐘內完成。本文說明實作方式、常見工具比較與真實案例。

流程自動化

企業流程自動化完全指南：AI 如何幫你省下 50% 的行政時間

從請假審核、報表匯整到客戶跟進，AI 流程自動化能幫企業節省大量重複性工作。本文整理 6 大常見自動化場景與實作建議。

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AI 客服導入完全指南：讓機器人接單、人工處理例外

許多企業客服團隊每天重複回答同樣問題。AI 客服能接手 80% 的標準問題，讓人工專注高價值互動。本文教你如何選擇、設置與評估 AI 客服系統。

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