How is AI orchestration different from a drip sequence?
A traditional drip sequence is a fixed flowchart: send message one, wait two days, send message two, and so on. Every lead follows the same path regardless of how they actually respond. The logic is authored once and never adapts.
AI orchestration replaces that flowchart with a decision engine. At each step it reads the live state of the conversation — what the lead said, how quickly they replied, what they ignored — and chooses the next action in real time. Two leads who enter the same journey can take completely different paths because the AI is deciding, not a pre-wired branch.
What signals does AI orchestration act on?
Reply content and intent, response timing and delays, periods of silence, channel engagement (opens, clicks, read receipts), and where the lead is in their lifecycle all feed the decision. The orchestration layer weighs these signals to decide whether to follow up, change channel, escalate to a human, or pause.
Because the decision is continuous, orchestration handles the messy middle of real conversations — a lead who goes quiet for a week, replies at midnight, or asks an off-script question — instead of forcing everyone down one rigid track.
How does TextConvo use AI orchestration?
TextConvo's signal-based engine orchestrates every conversation across SMS, RCS, WhatsApp, email and Voice AI from a single decision layer — picking the right channel and the right next action for each lead automatically.
Instead of building and maintaining branching drip logic, you set the goal and let the AI orchestrate the path, with results synced back to your CRM in real time.