AI Social Intelligence in OnSync: Real-Time Suggestions, Auto-Responses & Revenue Signals

Learn how OnSync's AI engine summarizes chats, recommends next best actions, and detects purchase intent across WhatsApp, Instagram, Facebook, and Telegram to unlock 34% more pipeline.

Anatomy of the Social Intelligence Engine

Avg. time to suggestion

Top intents automated

Attributed WhatsApp revenue

Reps using AI daily

Every conversation is ingested in near real time, vectorized, and paired with relevant CRM and product data. The engine evaluates urgency, language, and buyer stage before drafting replies, action items, or tasks for humans.

What AI Delivers in the Inbox

Instant Recaps

One-click summary of the thread, blockers, and commitments so managers can jump in with context.

Suggested Replies

GPT-powered drafts that follow brand tone, reference policy libraries, and pull SKU/price data before agent review.

Next Best Actions

Automated tasks like booking demos, escalating to finance, or sharing a payment link triggered by detected intent.

Pipeline of Intelligence

• Ingestion & Classification: Messages stream through channel connectors, language is detected, PII redacted, and intents labeled.
• Retrieval-Augmented Generation: Relevant macro snippets, product docs, and historical resolutions are retrieved and fed into GPT-4.1 for grounding.
• Recommendation Output: The model returns a summary, suggestions, and risk level. Guardrails scan for compliance before rendering.
• Feedback Loop: Agents accept, edit, or reject. That data fine-tunes prompt weighting and updates the quality leaderboard.

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