AI BUSINESS TRANSFORMATION & AUTOMATION

Make Every Workflow Move Forward.

讓每一個業務流程，都能被理解、推進，並在必要時交回真人。

ASSENS turns business knowledge, decisions, and repetitive workflows into controlled AI operations - from revenue intelligence and guided selling to knowledge retrieval, human review, and internal handover.

EXPLORE AI AUTOMATION
Representative e-commerce operator viewing a laptop from a physically consistent over-the-shoulder perspective
AI IN REAL COMMERCE REPRESENTATIVE OPERATING SCENE
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What We Build

What We Do＋

01

Turn fragmented business workflows into controlled AI operations.

ASSENS maps how information, decisions, approvals, and handoffs move through a business, then designs AI agents around real rules, knowledge sources, and human control. Revenue intelligence and e-commerce workflows remain a core application context.

ASSENS 先梳理企業中的資訊、判斷、審核與交接方式，再依據真實業務規則、知識來源與真人控制機制設計 AI Agent。營收情報與電商流程仍是 ASSENS 的核心應用場景。

SEE THE SYSTEM
Representative product knowledge and commerce data preparation scene
PRODUCT KNOWLEDGE / RAG / CONTENT
Representative customer signal and digital commerce interaction
CUSTOMER SIGNAL / FIND + ENGAGE
Representative human handoff scene with two operators reviewing a commercial workflow
HUMAN HANDOFF / CONVERT

Why Now

The Revenue Gap＋

More traffic does not guarantee more sales. The critical question is whether commercial intent is detected, acted on and followed through.

流量增加，不等於成交增加。關鍵是能否辨識商機、採取正確行動，並持續跟進到結果。

SIGNAL 01

Lead context is scattered across tools.

潛客資訊分散，客服、行銷與銷售無法共享同一個脈絡。

DATA
SIGNAL 02

Inquiry does not automatically become opportunity.

有人詢問，不代表商機已被有效承接與推進。

SALES
SIGNAL 03

Follow-up is inconsistent and hard to prioritize.

未成交 Lead 容易被遺忘，也缺少一致的優先排序。

ACTION
SIGNAL 04

Conversion outcomes rarely feed back into decisions.

成交與流失原因沒有回到前端，下一輪決策仍然靠猜。

LEARN

Services

Service＋

Start with the revenue gap that matters most. The modules share one lead memory and one event chain without requiring a full CRM rebuild.

先從最影響營收的斷點開始，不必重建完整 CRM；所有模組共用 Lead Memory 與事件鏈。

Where It Works

Industry Context＋

AI Agent decisions become useful only when they are grounded in real products, real customers and real operating constraints.
AI Agent 只有放進真實商品、顧客與營運限制中，才會產生商業價值。

Representative e-commerce brand operations scene
01

E-commerce Brands

商品、內容、詢問承接與成交推進

Representative B2B procurement and corporate order discussion
02

B2B & Procurement

數量、預算、交期、詢價與高價值商機承接

Representative service-commerce operator viewing a point-of-sale display from a physically consistent over-the-shoulder perspective
03

Service Commerce

預約、會員、服務匹配與高意向轉人工

ASSENS founder editorial portrait
FOUNDER / STRATEGY / TRANSFORMATION

Founder

Human Trust＋
AI System

“Technology creates leverage. Commercial judgment decides where that leverage should be applied.”

ASSENS is founder-led because the hardest part of an AI sales system is not generating more messages. It is deciding which commercial problem matters, what the Agent is allowed to do, when a human should take over, and how business outcomes should change the next decision.

阿森斯以創辦人主導，是因為 AI 銷售系統最難的部分，不是生成更多訊息，而是判斷哪個商業問題最重要、Agent 可以做什麼、何時必須交回真人，以及成交結果如何改變下一次決策。

The founder's product design and design engineering practice connects workflow mapping, information architecture, AI interaction boundaries, human approval states, responsive prototyping, and implementation QA. This allows ASSENS to design AI operations as usable business systems - not isolated model outputs.

創辦人的產品設計與設計工程實務，涵蓋流程梳理、資訊架構、AI 互動邊界、真人審核狀態、響應式原型與實作驗證，使 ASSENS 能將 AI 能力設計成可理解、可控制、可交付的企業運作系統，而非孤立的模型輸出。

  • WORKFLOW MAPPING
  • HUMAN-CONTROLLED AI
  • RESPONSIVE PROTOTYPING
  • IMPLEMENTATION QA
FOUNDER-LED REVENUE INTELLIGENCE

Technology

Shared Agent Core＋

Models and infrastructure can change. The durable value is how ASSENS makes commercial decisions, coordinates Agents and learns from conversion outcomes.

底層模型與元件可以替換；真正的自主價值在商機判斷、Agent 協作、下一步行動與成交回饋。

01

Intent Engine

Detect buying, quotation, customization and procurement intent.

02

Dynamic Lead Scoring

Update priority from need clarity, timing, engagement and other signals.

03

Next Best Action

Choose whether to ask, recommend, capture, quote, follow up or hand off.

04

Lead / Conversation Memory

Keep historical needs, promises, recommendations and human notes.

05

Product RAG + Tool Calling

Ground responses in product facts, FAQ, policy and approved tools.

06

Conversion Feedback

Write inquiry, quote, order and loss outcomes back into the decision layer.

SYSTEM OVERVIEW

Two Agents.
One Shared Intelligence.

LEAD SOURCESWeb · Chat · Social · Store
→
AGENT AIntent / Score / Next Best Action
→
SHARED AGENT COREMemory · Workflow · RAG · Tools · Guardrails
→
AGENT BGuided Selling / Follow-up / Human Handoff
OUTCOMEInquiry / Quote / Order
↺
LEARNING LOOPConversion Feedback

AI Business Automation

AI that works
inside the business.

From workflow analysis and knowledge retrieval to decision logic, human review and internal handover, ASSENS builds AI operations around how businesses actually work.

EXPLORE AI BUSINESS AUTOMATION
CAPABILITY ARCHITECTURE
01DISCOVERWorkflow & decision rules
02DESIGNAgent, knowledge & controls
03BUILDPrototype & integration
04CONTROLExceptions & human review
05TRANSFERTeam-ready operation

Solution Architecture / ASSENS Capability

Validation

Built to Prove Value＋

ASSENS is engineering and validating the system in a real e-commerce operating environment. Public positioning remains within verifiable boundaries.

阿森斯以真實電商場域進行工程化與驗證，對外敘事僅採目前可被證明的技術與專案狀態。

TECH FOUNDATION

Patent / Functional Design Foundation

The intelligent targeted lead aggregation concept provides a patent-application and functional architecture foundation for the validation project.

「智能定向匯集潛在客戶系統」具專利申請與功能架構設計基礎，作為本驗證計畫的既有技術基礎。

CURRENT STATUS ENGINEERING
& VALIDATION APPLICATION IN PROCESS / NOT A CLAIM OF GRANTED PATENT
PHASE 01

Foundation & Integration

  • Knowledge base and product data
  • Shared Agent Core + two Agent MVPs
  • Event tracking and KPI structure
PHASE 02

Live Validation

  • Real guided-selling conversations
  • A/B or same-period comparisons
  • Prompt, rule and knowledge iteration
PHASE 03

Measure & Standardize

  • KPI and commercial impact analysis
  • Repeatable data / Agent templates
  • Three-month deployment SOP

Contact

Start With
One Workflow.

從一個最值得改善的業務流程開始。

Where do decisions stall, knowledge become fragmented, or repetitive work depend on manual handoffs? Start with one workflow and identify what should be automated, what should remain human-controlled, and what evidence is required before scaling.

哪些判斷停滯、知識分散，或重複工作仍依賴人工交接？先從一個業務流程開始，釐清哪些工作適合自動化、哪些判斷應由真人控制，以及擴大導入前需要哪些證據。