Lead qualification
Score and prioritize leads using clear signals instead of treating every inquiry like it deserves the same amount of attention.
Sales AI brings prospecting, lead qualification, personalized outreach, follow-up intelligence and human handoff into one focused sales workspace — built to help your team move faster without giving up control.
Sales AI is designed to keep the context of a lead in one place — who they are, what they asked, how qualified they look, what happened last, and what your team should do next.
Score and prioritize leads using clear signals instead of treating every inquiry like it deserves the same amount of attention.
Prepare relevant messages based on the lead, business context and current stage — with human approval before customer-facing outreach.
Surface the recommended next step: follow up, ask a question, pause, hand off, or move the opportunity forward.
Track approved messages, replies, negative intent, bounce/complaint signals and follow-up eligibility inside the same workflow.
Sales AI is being built to use the official WhatsApp Business channel with language detection, intent, lead updates and human takeover.
When a lead shows buying intent, asks for sensitive information or needs a real person, automation can stop and surface the conversation.
The system is intentionally structured around a controlled sequence instead of uncontrolled automation.
Bring a lead into the workspace from prospecting, imported data, email or an approved messaging channel.
Identify language, intent, business context, fit and meaningful buying or objection signals.
Score the lead and decide what deserves attention now versus what should wait or be suppressed.
Prepare a personalized message and follow-up path with approval gates and channel-specific safety rules.
Escalate the right conversation to a human with context, history and a recommended next move already visible.
Sales AI is being built around visible scoring, explicit statuses and traceable next actions. The goal is not mysterious automation; it is faster judgment with a clear record of why a lead was prioritized.
Strong fit + positive engagement. Recommend owner review and direct follow-up.
Good profile, but one key qualification signal is missing. Recommend a focused question.
Weak timing or fit. Keep the record, avoid over-contacting, and wait for a better signal.
The current ClariSprint pilot is intentionally conservative. Production transport, permissions and tenant boundaries are treated as gates — not afterthoughts.
Sales AI is designed to prevent common automation mistakes before they become customer-facing problems.
ClariSprint is testing Sales AI internally before a broader release. We are prioritizing businesses where lead response, follow-up consistency and human handoff matter more than sending high-volume generic messages.