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AI System Development

AI System Development & Enterprise AI Integration

Wire generative AI into existing or newly built systems: analyze uploads, produce reports, structure results—while keeping permissions, logging, and human confirmation. Not a one-off demo.

適合解決的問題

  • ・Want AI in an existing system but don’t know which workflow the API should attach to.
  • ・Need AI to analyze user-uploaded files or forms—not another chat window.
  • ・Want AI to produce reports, summaries, or classifications that write back to the database.
  • ・Want to use multiple models and switch by cost and task.

可以包含什麼

  • ・OpenAI, Gemini, Claude APIs
  • ・AI image / video, TTS / STT, OCR
  • ・Structured output and function calling
  • ・Multi-model routing and usage logging
  • ・Production integration with Web, API, and database

怎麼做

  1. Define the task

    Write clear inputs, outputs, and cases that require human confirmation—before picking a model.

  2. Connect the system

    APIs receive data, call models, and write structured results to the database or trigger the next step.

  3. Production controls

    Log prompts, cost, errors, and user feedback so you can tune later.

適合誰、時間與費用

  • ・Companies with Web / ERP / CRM that want AI features
  • ・Startups turning AI into product features
  • ・Teams that need a PoC before committing to full development

時程：PoCs commonly take 2–6 weeks; production features are scoped separately based on permissions, data, and UI complexity.

費用：AI PoC / MVP typically from NT$50,000. Production integration is quoted by models, workflows, and admin scope.

正式價格於需求確認後提供，以上為參考。

我們不會直接承諾的事

  • ・We don’t promise AI is 100% correct or never errs.
  • ・We don’t promise accuracy rates before data sources and acceptance scenarios are defined.
  • ・High-risk finance or healthcare automated decisions don’t go straight to production—PoC and human review first.

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  • Leaf AI Workspace 企業 AI 助理

    Leaf AI Workspace（leafflow-ai.vercel.app）：企業文件 RAG 問答、白名單工具查專案／帳款，以及通知前人工確認的公開示範。

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相關服務

常見問題

How is AI system development different from using ChatGPT directly?

ChatGPT is a general conversation product. AI system development embeds models into your login, permissions, database, and workflows so results can be stored, reviewed, and wired to APIs—and limited by company rules.

Can we use OpenAI and Gemini together?

Yes. A common pattern is switching models by task, cost, or failover, while keeping call logs in your own system.

If we’re not sure what to build, should we develop first or analyze requirements?

When the path is unclear, start with AI requirement analysis or 60-minute adoption consulting, then develop after scope is confirmed—so you don’t finish building the wrong stack.

Assess AI system development

Tell us which system you want to integrate and what output AI should produce. We’ll reply on fit, PoC scope, and cost range.

Submit AI development request
AI System Development | Enterprise AI Integration, Custom Features & Production Delivery | Leaf Technology