Skip to main content
Instagram AI Automation

Automate your Instagram Engagement with an AI agent

Key Features

Contextual understanding:

Analyzes posts, captions, and comments to grasp full interaction context.

Product data extraction:

Auto-extracts key product details (description, usage, price, compatibility) from media URLs.

Comment categorization:

Classifies comments into categories like pricing, availability, complaints, and collaborations.

Confidence scoring:

Adjusts response confidence based on comment clarity and data completeness.

Automated replies:

Automatically replies or DMs when confidence exceeds 85%.

CRM escalation:

Routes low-confidence comments to internal CRM for manual handling.

Admin review:

Allows manual editing and approval of AI-generated responses when score is low.

Multi-product handling:

Supports multiple product links per post with fallback responses as needed.

Typically used by

E-commerce brands and D2C businesses
Social media teams and agencies
Influencers and content creators

Impact

85%+ automation of Instagram replies
60% drop in manual effort
100% resolution through CRM fallback
20% higher in conversions.

Compatible With

Instagram (reels, posts, comments, DMs), Backend systems (catalogs, inventory, campaigns), CRM/ticketing tools via APIs or webhooks

Delivery timeline
2-3 weeks
Outcome manager
Yatharth Champaneria
Process
[01]

Let's talk use case

Our outcome manager connects with you to understand your Instagram engagement scale, recurring query types, and how automation can enhance your workflow.

[02]

Content & data audit

We analyze posts, reels, comment trends, and backend product data to define category structures and enable accurate product tagging.

[03]

Logic & confidence mapping

We design logic trees, confidence thresholds, fallback responses, and CRM triggers deciding what the AI automates and what needs human review.

[04]

Bot development & training

Our team trains the AI using your content and defined categories, integrating scraping, LLMs, and backend logic for accurate comments, DMs, or CRM escalations.

[05]

Testing & fail-safe checks

The bot is tested in staging to validate categorization and responses. Complex scenarios like vague or multi-product comments are checked for human override.

[06]

Go live

After final review, the bot goes live. We monitor in real-time and refine logic for new comment types or edge cases, ensuring safe and scalable automation.