Agentic AI Enterprise Portal

讓企業從「用 AI」進化到「訓練 AI

Evolve your enterprise from using AI to training AI

AEP 同時支援代理式 AI 的三個演進階段 — 以治理、計費、市集與流水線編排作為共享基礎。一個平台讓事業單位、QA、工程、SRE 與財務長在同一帳本上協作。

AEP supports all three stages of agentic AI evolution — governance, billing, marketplace and pipeline orchestration as a shared foundation. One platform for BU, QA, engineering, SRE and CFO to collaborate on a single ledger.

4 大支柱pillars 多租戶Multi-tenant AWS CDK IaC Day 1 即上線ready
三階段演進Three Stages

代理式 AI 的三階段演進

The three stages of agentic AI evolution

三個階段並存 — 並非單向升級。成熟的企業會同時運行三者;AEP 讓它們共享相同的治理、帳本與稽核軌跡。

Three stages coexist — not a one-way upgrade. Mature enterprises run all three simultaneously; AEP lets them share the same governance, ledger and audit trail.

階段 1STAGE 1

人機協作

Human-AI Collaboration

「人類駕馭 AI」— AI 是智慧工具,由人類主導。

"Humans steer AI" — AI is a smart tool, human-led.

解決:個人生產力
Solves: individual productivity
階段 2STAGE 2

工作流程自動化

Workflow Automation

「AI 驅動流程」— AI 編排端到端流水線,人類僅在決策關卡介入。

"AI drives processes" — AI orchestrates end-to-end pipelines; humans intervene at decision gates only.

解決:端到端產出效率
Solves: end-to-end output efficiency
階段 3STAGE 3

人類作為 AI 訓練者

Humans as AI Trainers

「人類訓練 AI」— 各事業單位訓練自己的領域代理,人們成為代理的教練。

"Humans train AI" — each BU trains its own domain agents; people become agent coaches.

解決:規模化 + 領域深度
Solves: scale + domain depth
企業真實痛點Real Enterprise Pains

企業導入 AI 的五個真實陷阱

Five real traps in enterprise AI adoption

#1
代理碎片化
沒人知道存在多少 prompt
Agent fragmentation
Nobody knows how many prompts exist
#2
成本失控
單次執行燒 $700+
Cost explosion
Single run burns $700+
#3
法遵缺口
決策無法被解釋
Compliance gap
Decisions can't be explained
#4
PoC → 打掉重練
缺多租戶 + IaC
PoC → rebuild
Missing multi-tenant + IaC
#5
規模化崩潰
100 個 agent 無法管理
Scale collapse
100 agents unmanageable
Four Pillars

AEP 四大支柱,各解一個真實陷阱

Four pillars, each solving a real trap

支柱 1Pillar 1

AI-DLC Pipeline

視覺化流水線建構器。拖放編排多代理流程、品質閘門、HITL 人審核、即時成本串流。

Visual pipeline builder. Drag-and-drop multi-agent orchestration, quality gates, HITL review, live cost streaming.

支柱 2Pillar 2

App Marketplace

非技術使用者一鍵啟用 AI 應用。無需編輯 prompt、無需懂架構、無需寫程式。

Non-technical users launch AI apps in one click. No prompt editing, no architecture knowledge, no coding.

支柱 3Pillar 3

Harness Governance

代理生命週期(草稿→預備→發布→封存)、職責分離、模型允許清單、Prompt 版控 + 評估。

Agent lifecycle (draft→staging→published→archived), SoD, model allowlist, prompt versioning + evaluation.

支柱 4Pillar 4

FinOps

三層成本上限、執行前預測、即時鑽研、部門分攤計費、預算警示。

3-tier cost caps, pre-run prediction, real-time drill-down, department chargeback, budget alerts.

Demo

看 AEP 實際運作

See AEP in action

AEP 產品展示AEP product walkthrough

Adoption Path

Day 1 即上線的導入路徑

A deployment path that starts Day 1

Day 1
CDK 部署到您的 AWS 帳號
CDK deploy to your AWS account
Day 4–7
模型允許清單 · 成本上限 · 知識庫初始化
Model allowlist · cost caps · knowledge base init
Day 8–30
試點 1-2 個高價值情境 + ROI
Pilot 1-2 high-value scenarios + ROI
Day 30+
全企業推廣 · BU 培訓
Enterprise rollout · BU training
Get Started

讓三個階段並存的單一平台

One platform for all three stages to coexist

治理、計費、發布、法遵與品質保證整合到單一平台 — 企業不必另購五套工具再拼湊。

Governance, billing, publishing, compliance and QA in one platform — no stitching five tools together.

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