Lead intake automation
Capture form and chat details, preserve campaign context, and create a clean record.
Explore this serviceHuman-supervised AI automation
TAD designs human-supervised AI workflows that capture leads, organize context, support qualification, prepare follow-up, update the CRM, and escalate the decisions that still need a person.
Capture form and chat details, preserve campaign context, and create a clean record.
Explore this servicePrepare consistent responses while keeping CRM status and notes current.
Explore this serviceDefine where automation stops for pricing, fit, tone, exceptions, or owner approval.
Explore this serviceCollect the inquiry and useful source context.
Organize needs, timing, preferences, and missing details using approved rules.
Prepare follow-up, update the CRM, and set a clear next action.
Pause for a person when pricing, risk, fit, or an unusual request requires judgment.
A chatbot may be one input, but it is not the entire system. The workflow also connects approved business rules, lead context, CRM actions, follow-up, and human review.
The workflow can be designed around your comfort level. Human approval and escalation points can be required wherever judgment or brand risk matters.
Not necessarily. TAD can assess whether to connect your current tools or provide a simpler workspace when the existing setup is the problem.
Start with a repetitive, measurable bottleneck such as lead intake, routing, follow-up reminders, or record updates. Prove the workflow before expanding it.
No. A chat interface can be one input, but the larger system connects approved business rules, lead context, CRM actions, follow-up, and explicit human review points.
Choose operational measures before launch, such as response time, percentage of leads with a next action, missed follow-ups, qualification completeness, or administrative time saved.