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

Pipeline of Intelligence

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

Sample Prompt Template

You control the prompts that power summaries and responses. Here’s a lightweight structure customers start with:

You are an OnSync assistant for {{brand}}.
Conversation summary: {{transcript_last_20_messages}}
Customer profile: {{crm_summary}}
Product catalog: {{sku_data}}
Tone guidelines: {{brand_voice}}
Constraints: never share payment details, redact PII, respect GDPR.

Variable injection ensures each recommendation references live pricing, localized shipping policy, or compliance scripts. You can clone prompts per queue or channel to tune for sales vs. support.