چی هست Agentic AI؟

Agentic AI به سیستم‌هایی گفته می‌شود که «عاملیت» دارند: یعنی با یک هدف سطح‌بالا به آن‌ها داده می‌شود و خودشان برنامه‌ریزی، تصمیم‌گیری و اجرای چندمرحله‌ای انجام می‌دهند — شامل فراخوانی ابزارها، حفظ حافظه، و تعامل با سرویس‌های خارجی بدون نیاز به هر بار دستور صریحِ انسان. این‌گونه عامل‌ها می‌توانند وظایف پیچیده‌ای مثل رسیدگی به تیکت‌های مشتری، مدیریت زنجیره تأمین، یا انجام تحقیقات بازار را خودکار کنند.

چرا الان فرصت تجاری وجود دارد؟

شرکت‌های بزرگ و ابرپلتفرم‌ها روی agentic AI سرمایه‌گذاری می‌کنند (مثلاً Microsoft، AWS و …) چون امکان خودکارسازی «کارهای چندمرحله‌ای» را فراهم می‌کند که دسترسی به آن قبلاً سخت یا گران بود — اما در عین حال تحلیلگران هشدار می‌دهند که پروژه‌ها هنوز در مرحله بلوغ بوده و بسیاری ناکارآمدی/هزینه‌بر خواهند بود؛ یعنی فرصت بزرگ هست ولی باید با طراحی کسب‌وکار و ارزیابی ارزش دقیق جلو رفت. 

مدل‌های کسب‌وکار و درآمد (عملی — با مثال)

1. SaaS عامل‌محور (Agent-as-a-Service)

   • محصول: عامل‌های تخصصی برای صنایع (پشتیبانی مشتری خودکار، مدیریت صورت‌حساب، تحلیل حقوقی اولیه).

   • درآمد: اشتراک ماهانه/سالانه، قیمت براساس تعداد کاربر یا تعداد عملیات خودکار.

   • مزیت: درآمد تکرارشونده؛ اما نیاز به پشتیبانی/آپدیت دارد.

2. پلتفرم بازارِ عامل‌ها (Agent Marketplace)

   • محصول: بازار برای توسعه‌دهندگان تا عامل‌های آماده بفروشند (شبیه اپ‌استور برای agentها).

   • درآمد: کمیسیون از فروش، فهرست‌بندی پولی، اشتراک توسعه‌دهندگان. 

3. خدمات حرفه‌ای + پیاده‌سازی (Consulting + Integration)

   • محصول: طراحی و پیاده‌سازی عامل‌های سفارشی برای شرکت‌ها.

   • درآمد: پروژه‌ای، قراردادهای نگهداری/مدیریت، آموزش. مناسب برای مشتریان سازمانی با داده‌های خاص.

4. راهکارهای افزوده (Add-ons & Data Services)

   • محصول: اتصال عامل‌ها به داده‌های اختصاصی، افزونه‌های امنیتی، گزارش‌گیری/داشبورد.

   • درآمد: فروش داده/API، ماژول‌های پرمیوم.

5. افزایش کارایی داخلی و فروش B2B پس از موفقیت داخلی

   • ابتدا عامل‌ها را برای داخلی‌سازی بهره‌وری خود پیاده کنید، سپس همان راهکار را به بازار بفروشید (prove-within → productize). این الگوی «از داخل اجرا کن، بعد به بازار ببر» توسط مشاوران صنعتی توصیه می‌شود.

فناوری و پشته فنی (چه باید بلد باشید / انتخاب کنید)

• هسته LLM: GPT-4x/پیدا/مدل‌های اختصاصی؛ انتخاب براساس latency، هزینه و قابلیت tool-calling.

• فریم‌ورک‌های عامل: LangChain Agents، AutoGen، Auto-GPT family، Microsoft Semantic Kernel و ابزارهای low-code/enterprise مانند AutoGPT Pro یا پلتفرم‌های اختصاصی. این‌ها حلقه کنترل، حافظه، و اتصال به توابع خارجی را فراهم می‌کنند. 

• ابزارهای ادغام: APIها (SaaSها، پایگاه‌داده‌ها، CRM، ERP)، سرورهای تابعی برای عملیات، صف‌ها (RabbitMQ/Kafka) برای مقیاس‌پذیری.

• امنیت/اعتبارسنجی: احراز هویت برای agent، sandboxing برای اجرای توابع، کنترل دسترسی بر منابع خارجی. 

نقشه راه 9 مرحله‌ای برای راه‌اندازی کسب‌وکار Agentic AI

1. انتخاب یک مشکل تجاری واضح — مثلاً کاهش زمان پاسخ مشتری از X به Y، یا خودکارسازی 30% از کارهای دست‌دستی مالی. (ارزش‌محور باشید.)

2. MVP فنی ساده — یک عامل کوچک با یک هدف مشخص و تعداد محدودی ابزار. (مثلاً یک agent که تیکت را می‌خواند، خلاصه می‌سازد و پیشنهاد پاسخ می‌دهد.)

3. اندازه‌گیری KPIهای کسب‌وکاری — زمان حل، دقت، نرخ پذیرش پیشنهاد عامل، صرفه‌جویی مالی.

4. افزودن حافظه و توانایی ابزارخوانی — ذخیره کانتکست کاربر، فراخوانی APIها.

5. پیاده‌سازی نگهبان‌ها و قواعد ایمنی — محدودیت‌های اجرایی، تایید انسانی برای تراکنش‌های حساس.

6. آزمون در محیط واقعی (red teaming) — تست سوء‌استفاده، حالات لبه. 

7. قیمت‌گذاری و مدل درآمدی — A/B تست روی اشتراک/پرداخت-به-استفاده/کارمزد.

8. مقیاس‌پذیری و عملیات — مانیتورینگ، خطا، تدبیر هزینه مدل‌سازی.

9. محصولی‌سازی و فروش به بازار — اسناد موفقیت، مطالعات موردی، قراردادهای POC با مشتریان اولیه.

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