Reply to every inbound lead while the intent is still warm, qualify without turning the conversation into a form, and move the right person into a real calendar slot with the context preserved.
Channel intake, thread memory, intent classification, qualification, booking, CRM updates, opt-outs, quiet hours, human handoff and logs begin from a live foundation.
Knowledge, tone, disqualifiers, qualification questions, service areas, calendar rules and escalation triggers are configured around your offer and team.
The system pauses on explicit triggers, shows the full thread and hands over a context pack. It does not invent custom pricing or trap a buyer in a bot loop.
AI SDR software is a sales-development system that reads inbound messages, responds across SMS, email and social channels, asks the next useful question, qualifies fit and timing, books meetings, updates the CRM and hands off when a human should take over. ParaWav delivers it as a hybrid product: the responder, routing, booking, compliance and audit foundation already works, while the knowledge, voice, qualification rules, channels and escalation policy are configured around each company.
“I architect the systems. My engineers build them.”
Oscar Otero, Founder & CEO · 14 systems shipped and live
Inbound SMS, email and social messages enter one responder path with after-hours coverage and quiet-hour rules for proactive follow-up.
Prospect, customer, vendor, job seeker, spam and unclear intent route differently before the model writes a word.
One useful question at a time, tied to what the lead actually said — not a questionnaire pasted into chat.
Qualified leads get specific available times and a confirmed calendar event without being sent through another form.
Thread outcome, qualification, appointment and owner changes write back to the contact and pipeline automatically.
Pricing, frustration, technical depth or a direct human request pauses the bot and gives the rep the reason, history and next move.
Speed-to-lead matters because intent decays, but a fast irrelevant reply teaches the buyer that nobody is listening. The responder has to react to the message before it advances the sales process: answer a direct question, acknowledge the stated problem, then ask one next question. That requires channel intake, company knowledge and conversation state to resolve before generation, not after a generic template has already gone out.
Most AI SDR demos collect budget, authority, need and timeline in four consecutive messages. Real buyers do not talk that way. We limit hard qualifiers, infer what the lead already supplied, and spread the remaining questions across a useful exchange. The system records fit and timing silently while the buyer experiences one coherent conversation.
A calendar link adds another tab and loses the thread that created the intent. Once a lead is qualified, the system reads actual availability, offers specific slots, confirms timezone and writes the event and CRM stage together. A hot hand-raiser can still get a direct link immediately; the rule depends on intent rather than one universal close.
Automation should stop on explicit conditions: a direct request for a person, frustration, custom pricing, a complex technical question, a competitor comparison or repeated misunderstanding. The rep receives the thread, the lead's stated bottleneck, fit and timing, objections and the recommended next move. The lead should never have to start over because the bot reached its limit.
The system identifies the channel, contact, campaign and recent conversation before choosing a response path.
Prospect, support, vendor, spam, opt-out and human-request states are resolved before generation.
The reply addresses what the lead wrote, uses approved company knowledge and advances one step at a time.
Qualified intent moves to live availability; explicit escalation triggers pause automation and notify the owner with context.
The CRM receives qualification, stage, appointment and outcome. Reporting follows held meetings and qualified opportunities, not vanity reply counts.
Good People Roofing connects inbound leads, automated response, appointment state, inspection, proposal follow-up and signed work in one operating pipeline rather than a chatbot sitting beside the CRM.
It responds to inbound sales conversations, answers from approved company knowledge, asks the next qualification question, books qualified meetings, updates the CRM and escalates the conversations that need a human.
It includes conversational AI, but the product is the operating system around it: channel intake, identity, thread memory, qualification state, calendars, CRM writes, compliance, handoff and an audit trail. A chat window alone does not do that work.
SMS, email, website chat and supported social DMs can share the same routing and company knowledge while keeping channel-specific rules for length, links, timing and policy.
Yes. It can read availability, offer specific slots, confirm timezone and create the event inside the conversation. A direct link remains available for buyers who explicitly ask to book immediately.
On explicit triggers such as a direct human request, frustration, custom pricing or scope, technical depth, competitor discussion, or repeated misunderstanding. Those rules are configured with the team.
It can share approved package ranges. It should not invent a custom quote or scope; that state hands off to the person responsible for pricing.
The implementation carries the company's consent source, honors reasonable opt-out language, confirms once, suppresses future sends and applies quiet-hour rules to proactive messages. Final campaign and legal review remains the company's responsibility.
Held meetings, qualified opportunities per held meeting, speed to first useful response, escalation quality and lead-to-appointment conversion. Reply volume and raw bookings are not enough.
Tell us how your operation runs. We build the software around it.
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