Make the problem clear
Find what is truly slowing the work before recommending tools.
For teams that know work can run better
Turn stuck workinto systems that move.
Find the real bottleneck first. Then diagnose, connect, build and help your team use the result every day.
- Based in Kaohsiung, remote across Taiwan
- Ideas protected under NDA
- Reply within 24 hours
- Live products you can visit
Make information flow
Connect people, forms, chat and existing systems into one process.
Move from idea to use
Prove a narrow case first, then build what the team can use daily.
Make the change last
Improve after launch so the result stays useful as the business changes.
You may be here because
Built for teams still relying on spreadsheets, chat threads, manual checks and disconnected systems
Reports are assembled by hand
Orders, inventory and ERP disagree
Knowledge is scattered across files and chats
You want AI but do not know where to start
SERVICES
Get the direction right. Then make transformation stick.
With AI adoption and operations transformation coaching at the core, we clarify brand position, competitive context and workflow problems before choosing the right strategy, proof and build scope.
AI & process diagnosticMake the right call before funding a build
Map people, workflows, data and current systems to find the highest-value bottleneck.
- Process and pain-point map
- AI fit and risk assessment
- ROI hypothesis and 90-day roadmap
Brand & competitive strategyAlign market judgment with transformation investment
Clarify brand value, target market and competitive position so transformation investment starts from evidence.
- Brand position and value proposition
- Competitive landscape and differentiation
- Strategic priorities and actions
AI / automation PoCUse evidence to expand, adjust or stop
Prove one frequent, rule-based workflow with real data and measurable outcomes.
- Working prototype
- Before-and-after metrics
- Scale recommendation
Operations system developmentMove from demo to daily operations
Turn validated workflows into reliable software connected to ERP, commerce, equipment and internal data.
- API and data integration
- Admin tools and dashboards
- Access, audit, testing and deployment
AI & operations transformation coachingMake change part of daily operations, not a slide deck
Work with leaders and teams to adjust strategy, roles, workflows and adoption cadence as real implementation friction emerges.
- Leadership and key-role workshops
- 90-day cadence and ownership model
- Adoption metrics and decision reviews
Operations & continuous improvementBuild a maintainable long-term asset
Monitor, maintain and improve the system as your operations evolve.
- Monitoring, backup and incident handling
- Model and knowledge optimization
- Updates and decision support
A path that can be measured
Every stage has a concrete deliverable and decision gate. Diagnosis and development are separate, so an unclear problem never turns into an expensive build.
- DISCOVER
Find the real constraint
Interview key roles, quantify delay and rework, and map data and exception flows.
- DESIGN
Prioritize the investment
Rank opportunities by value, data readiness, risk and implementation effort.
- PROVE
Validate in a narrow scope
Build a PoC and measure handling time, error rate, adoption and labor hours.
- BUILD
Integrate production systems
Connect data, permissions and existing tools; complete testing, deployment and training.
- IMPROVE
Monitor and extend
Track value and risk, then replicate the proven pattern into the next workflow.
Technology is not the outcome. Operating change is.
We define value through observable metrics, not model names or lines of code.
repetitive work
Reduce copying, checking, sorting and repeated answers
exception response
Surface missed orders, shortages and anomalies early
management decisions
Turn scattered data into an accountable operating view
system governance
Control access, audit trails, human review and failure paths
Priority use cases
Manufacturing operations
Manual spreadsheets, fragmented machine data, late alerts
Automated collection → live dashboard → exception alertsWholesale & commerce
Repeated reconciliation across orders, stock, logistics and ERP
System sync → rule checks → human exception handlingDocuments & service
Scattered knowledge, slow search, inconsistent answers
Traceable knowledge → AI draft → human approvalNot a feature gallery. A record of problems solved.
From public data and the LINE ecosystem to operational tools, every case began with real constraints and moved through product definition, architecture, integration and launch.
Food rescue · LINE serviceIn-house product
Food in Time
A LINE-first service for discovering nearby surprise bags, reserving a pickup time and completing collection with a QR code.
Problem solvedConnected same-day merchant supply with nearby demand in a complete flow that requires no new app.
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B2B brand · Product catalogClient project
Qing Pro digital catalog
Reorganized die-casting equipment, consumables and tools into a searchable, mobile-ready business catalog.
Problem solvedTurned fragmented industrial product information into a clear catalog and faster route to sales contact.
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Public data · PropTechIn-house product
RenoTrace renovation due diligence
Combines company registration, renovation contractor registration and court records for checks before contract and payment.
Problem solvedPlaced three official sources on one traceable page while preserving dates, provenance and matching limits.
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PropTech · Risk workflowIn-house product
Rent Guard tenant screening
Unifies multi-source checks, OCR, batch spreadsheets and progress tracking for rental operations teams.
Problem solvedEvolved a single lookup into a team system with failure states, history, roles, auditability and service monitoring.
MarTech · AI AgentIn-house product
SmartPush AI messaging
Builds smart audiences from browsing, cart and purchase behavior, then sends relevant products through LINE with AI-assisted discovery.
Problem solvedDelivered the multi-tenant foundation from event collection and segmentation to messaging and semantic search.
Vertical SaaS · LINEIn-house product
LineBooker appointment SaaS
Lets service businesses receive requests through their own LINE account and manage services, staff, spaces, capacity and notifications.
Problem solvedA multi-tenant product for beauty, auto service, venue rental and general services while keeping final approval with each merchant.
Visit websiteCLIENT WORK
The names are confidential. The results are not.
Client engagements delivered under NDA. We cannot name them, but every problem, approach and outcome below is real — and shows how your own project would be treated here.
E-commerce group · Multi-platform data
- The situation
- Sales and inventory data scattered across marketplaces; manual consolidation could not keep up with daily decisions.
- What we did
- Automated scraping and multi-platform API integration feeding a live dashboard.
Result100k+ transactions processed daily; manual work down about 70%
- Python
- FastAPI
- React
- PostgreSQL
SME manufacturer · Custom ERP
- The situation
- Production, inventory and finance ran on emailed spreadsheets, reconciled by eye.
- What we did
- A custom ERP connecting production, inventory and finance in one flow.
ResultOrder processing time down about 60%
- Node.js
- Vue.js
- MongoDB
- Docker
Fintech startup · From plan to MVP
- The situation
- A product concept without the business logic or technical plan investors expect.
- What we did
- Market analysis, competitive research, architecture design and an MVP roadmap.
ResultRaised a seed round; product launched
- Business planning
- UI/UX
- Tech assessment
Online retailer · Performance
- The situation
- Slow responses at peak traffic, with conversion falling alongside.
- What we did
- Code review, database optimization, caching and a CDN.
ResultPages load 3x faster; conversion up 45%
- Redis
- AWS
AI adoption without the hand-waving.
Research, policy and delivery lessons for leaders deciding where AI belongs in their operation.
Outsourcing
Choosing a Software Development Company in Kaohsiung: The 2026 Guide
Local, Taipei or remote — the real differences, and five ways to verify a vendor.
System DevelopmentHow Much Does Custom Software Development Cost in Taiwan?
The five cost components behind every quote, 2026 price tiers and budget tables from MVP to platform.
OutsourcingHow to Choose a Software Development Company: 10 Criteria and 8 Red Flags
From quote granularity to source-code ownership — keep the risk out before signing.
What leaders ask before starting
Our data is messy. Are we ready for AI?
You may be ready for a diagnostic, not necessarily an AI build. We first determine whether the right next step is data cleanup, system integration or a narrow AI pilot.
Do we have to hire EFFECT for development after the diagnostic?
No. The diagnostic is a complete deliverable you can hand to your team, another vendor or EFFECT for implementation.
Can AI leak data or produce wrong answers?
Yes, so controls are designed into the system: data classification, least privilege, citations, human review, audit logs and safe failure paths.
How soon can we see a result?
A focused PoC can usually be completed within 3-6 weeks after diagnosis. Production timing depends on integrations and data readiness.
Do you only build AI?
No. AI is one tool. We also diagnose brand position, competitors and operating workflows. The right answer may be a strategy change, an API, back-office software, a data pipeline or team coaching. We choose the method after the problem is clear.
START WITH THE PROBLEM
Bring us one workflow that keeps getting stuck.
You do not need a full specification. Tell us who does the work, how often, where it fails and what you want to change.
Book a 30-minute call on LINELINE Official @hi.effect
30-minute first call, confidential, reply within 24 hours
Project Details
Your project ideas are kept strictly confidential (NDA Compliant). A senior consultant will reply within 24 hours.