Feature Request: AI SMS Context Awareness, Stop Directives, & Admin-Controlled Engagement Logic

Overview

To improve AI-driven SMS engagement, the system needs admin-defined stop directives, context awareness, and interaction tracking to prevent unnecessary or inappropriate AI engagement. This would allow for manual intervention settings alongside automatic AI logic to improve response accuracy and avoid redundancy.

Key Enhancements

✅ Ability to Set Custom Stop Conditions Based on User Responses or Context

• Admins should be able to define conditions that override AI engagement, such as:

• If a contact says “I’ll get back to you,” “Sent it over,” or “Talked to someone already” → AI should not re-engage with another prompt.

• If a contact is flagged as “Needs Human Review” or “Paused” → AI should automatically stop engagement.

• If the admin manually applies a “Do Not Engage Until X” tag or field → AI should pause interactions for the defined timeframe.

✅ Manual & Automated Triggers to Halt AI Responses

• Admins should have a “Pause AI” button per contact to temporarily stop automated responses for cases where a human follow-up is needed.

• Automated triggers could be based on specific response patterns (e.g., “Let me think about it” → AI does not push further).

✅ AI Should Detect When a Contact Has Already Responded

• If a contact replies with requested information, AI should acknowledge receipt and stop prompting instead of restarting the conversation.

• Example:

• AI: “What’s your preferred service date?”

• Contact: “Tuesday at 3 PM.”

• AI (smart response): “Thanks! I’ll get that scheduled for you.” (instead of repeating the question)

✅ Adjust AI Messaging Based on Previous Engagements

• AI should recognize if this is the first, second, or third interaction of the day and adjust the tone accordingly.

• Example:

• First interaction: “Hey! Just checking in.”

• Third interaction in a short time: “Looks like we’ve already touched base today—let me know if you need anything else!”

✅ AI Should Modify Behavior Based on Pipeline Stage

• If a contact is in “Waiting for Follow-Up”, AI should pause engagement for the set timeframe.

• If a contact is in “Closed Deal”, AI should switch to post-sale support mode instead of continuing a sales conversation.

✅ Interaction-Based AI Engagement Rules

• AI should track the number of times it has interacted with a contact in a given timeframe and adjust behavior:

• If already engaged X times in a day → AI should delay additional outreach.

• If the last message was a confirmation or closing remark → AI should not restart the conversation.

✅ Detect & Ignore Auto-Responses from Other Systems

• If AI detects a message that looks like an automated reply (e.g., OTP codes, auto-confirmations, out-of-office replies, etc.), it should:

• Stop responding to prevent infinite loops.

• Apply a “Do Not Engage – Automation Detected” tag to prevent unnecessary follow-ups.

✅ Rate-Limiting for Redundant AI Engagement

• If AI detects repeated back-and-forth with a system or contact, it should pause itself to prevent spammy behavior.

Expected Outcome

✔️ More admin control over AI engagement without requiring contact opt-outs.

✔️ Better AI decision-making based on context, history, and pipeline stage.

✔️ Reduction in unnecessary or spammy responses.

✔️ AI that adapts to past interactions rather than blindly following scripts.

✔️ More natural and human-like SMS interactions.

This feature ensures AI-driven SMS interactions feel natural, are contextually aware, and avoid unnecessary engagement while giving admins full control over AI behavior when needed.